from a live blocked-sites pass (no PII):
- posture shift: blind opt-out is the DEFAULT, not a fallback -- submit on every site with an
accessible removal channel even without first confirming a listing (own identifiers to the broker's
own official channel = still least-disclosure). guided flows double as the authoritative search.
- blocked-form rule: when a form is automation-hostile (hard captcha / cloudflare / datadome /
slide-to-verify), default to the broker's CITED rights-email rather than recording blocked.
- captcha policy clarified: never defeat behavioral/token/slider challenges; ok to read a static
distorted-text or plain-arithmetic captcha on the subject's own opt-out; stop if the whole
submission is rejected after a correct answer (fingerprinting the automation, not grading it).
- intelius/peopleconnect: delete-wipes-suppression is field-confirmed -- a deletion-complete email
means the suppression is gone and the subject re-lists cluster-wide; re-run suppression and verify
the Control step reads "suppressed". guided-mode session persists; DOB is an <input type=date>.
- new records: addresses.json (intelius front-end, cluster-covered) and socialcatfish.json
(cited rights-email lane + automation-hostile form).
- new references/site-playbooks.md: per-site game-plan matrix (8 blocked-tail sites), the meta-search
no-op skip-list (idcrawl/lullar/yasni/webmii/namesdir/itools/skipease), and the infopay /
peopleconnect backend clusters. OSINT-list triage taxonomy added to methods.md.
- state-machine.md: fixed doc drift + documented submitted->not_found illegal (resolves as
awaiting_processing), blocked->submitted via action_selected, operator_manual_check, --evidence & pitfall.
tests: standalone 99, PR 97 (+1 cluster-coverage regression); ruff + windows-footguns clean.
phase-2 work (sending webmail, clearing session-bound gates like peopleconnect guided-mode) needs
the operator's own logged-in browser, not a cloud browser. new `pdd.py cdp`:
- finds chrome/chromium/brave/edge (macos/linux/windows), launches it detached on a dedicated debug
profile ($HERMES_HOME/chrome-debug) with --remote-debugging-port, waits for the port, prints the
CDP endpoint (webSocketDebuggerUrl)
- `--check`: report whether a debug browser is already live (never double-launches)
- `--print`: emit the exact command for the operator to run themselves
- doctor, SKILL.md, and methods.md all point at it
- windows-safe detach (start_new_session on posix, DETACHED_PROCESS on windows); stdlib only
tests: standalone 98, PR 96 (+6 cdp); ruff + windows-footguns clean.
from a live run (NY subject, 43 brokers):
- fanout default 8->5 (8+ batches time out)
- setup/doctor read $HERMES_HOME/.env so creds hermes already loads are detected
- new `show <subject> <broker>`: reads back case state+evidence for cheap parent re-verify
- intelius: requires.dob + 5-step guided-mode gate; planner pre-warns when dob is missing
- rehold.json: property-record != PII (an address-only match is not_found, not removable)
- tps/fps: match_signal_notes tell the scanner to ignore SEO-templated titles
- methods.md: browser backends (scan vs execute + operator chrome over CDP), property/SEO callouts
- doctor: warn when browser email-mode pairs with a cloud scan backend (needs operator chrome/CDP)
- ledger: found->not_found retract (false-positive), blocked->human_task_queued
- autopilot: indirect-exposure web-form fallback; drop a stray f-string
tests: standalone 92 pass; ruff clean.
PeopleConnect is the exception to deletion-beats-suppression: "DELETE MY
USER DATA" also deletes suppressions on file, and deletion does not stop the
people-search sites from showing you (public records re-list). Suppression
is the effective lever and must be maintained.
- intelius.json: deletion.prefer=false; playbook/quirks/notes rewritten with
the verbatim privacy-center language; delete is the data-purge-only path.
- autopilot: honor deletion.prefer -> prefer_suppression when false.
- methods.md / SKILL.md / README: exception called out.
- tests updated + prefer-flag routing test (86 tests).
unbroker finds where a consenting person's info is exposed across data
brokers and people-search sites and files the removals, running as far as
each site allows and handing only genuinely human-only steps (hard CAPTCHA,
gov-ID, phone, fax) back as an end-of-run digest.
- Deterministic stdlib CLI (scripts/pdd.py) owns config, dossiers+consent,
the broker DB, tier planning, the ledger, email, and the autonomous
action queue; the agent scans/submits with native tools (web_extract,
browser_*, delegate_task, cronjob, terminal).
- Verify-before-disclose, least-disclosure (never volunteers SSN), consent
gate, opaque ids, optional age-at-rest encryption, file-locked ledger.
- Jurisdiction-aware (CCPA/CPRA, GDPR, generic); CA DROP one-shot covers
the state registry (~545) in a single request; BADBOOL + curated
people-search coverage; scheduled re-scan for re-listing.
- No CAPTCHA-solving services or anti-bot bypass; browser email mode needs
no stored password.
- 85 hermetic tests (tests/skills/test_unbroker_skill.py; SMTP/IMAP via
injected fakes, registry via CSV fixtures). Ships placeholder data only.
Broker dataset adapted from BADBOOL (Yael Grauer, CC BY-NC-SA 4.0).
* chore: re-trigger CI (workflows did not dispatch on prior head)
* feat(skills): add cloudflare-temporary-deploy optional skill
Optional web-development skill teaching the agent to deploy a Worker to a
live workers.dev URL with no Cloudflare account via 'wrangler deploy
--temporary' (Wrangler 4.102.0+). Cloudflare provisions a throwaway,
claimable account valid for 60 minutes — ideal for an autonomous
write->deploy->verify loop with no OAuth/signup hard stop.
- SKILL.md: when/when-not, prereqs (unauth requirement, version floor),
step-by-step deploy + verify flow, product limits table, pitfalls
(hidden flag, stale global wrangler, auth-present error, rate limits,
workers.dev edge cache), verification.
- scripts/parse_deploy_output.py: stdlib-only parser extracting live URL,
claim URL, account name/state, expiry, deploy status from wrangler output.
- tests/skills/test_cloudflare_temporary_deploy_skill.py: 16 tests incl.
a real-output regression case.
Verified live end-to-end: temporary account created with no creds,
deployed to a live URL, curl confirmed body, redeploy reused the account.
The kanban-worker and kanban-orchestrator bundled skills existed only to
be force-loaded into dispatcher-spawned workers, gated by
environments:[kanban] so they wouldn't leak into normal CLI listings.
That gating was fragile (the leak that #50443 patched) and the
--skills auto-load was already best-effort — most workers ran without it
because the bundled skill isn't present in profile-scoped skills dirs.
Remove the skills entirely and promote their load-bearing content
(workspace kinds, deliverable artifacts, created-card integrity, profile
discovery) into KANBAN_GUIDANCE, which is already injected into every
kanban worker's system prompt. Net result: every worker reliably gets
the guidance, nothing can leak into a CLI/blank-slate session, and the
gating machinery is gone.
- agent/prompt_builder.py: promote the 4 load-bearing rules into KANBAN_GUIDANCE
- hermes_cli/kanban_db.py: drop --skills kanban-worker auto-injection + _kanban_worker_skill_available probe
- hermes_cli/kanban_swarm.py: drop skills=[kanban-orchestrator] on the root card
- hermes_cli/kanban.py: drop kanban-init skill seeding; fix help text
- delete skills/devops/kanban-{worker,orchestrator}
- docs: delete the two skill pages (EN+zh), fix sidebars/catalog/kanban.md/kanban-worker-lanes.md and the video-orchestrator + codex-lane references
- tests: update spawn-argv expectations; re-bound the guidance-size guard
Supersedes the skill-leak half of #50443 (credit @helix4u for flagging the area).
Brings the antigravity-cli skill to parity with the codex / claude-code
delegation playbooks. Additive only — auth/sandbox/plugin/settings content
is unchanged.
- New 'Delegation patterns' section: one-shot, background bounded runs,
interactive PTY+tmux, parallel worktree fan-out, and an orchestration
boundary note (agy is a worker backend / reviewer, not a coordination
primitive).
- Documents the two ways agy -p differs from claude-code: plain-text
output (no --output-format json / result envelope) and bounding via
--print-timeout rather than a nonexistent --max-turns. Mirrored into
Pitfalls.
- Bumps version 0.1.0 -> 0.2.0.
The optional-skills copy was still the v1.0.0 constraint-dispatch skill
(SKILL.md + full-prompt-library.md only). This brings it up to the current
tool: a situation-routed library of 22 named ideation methods drawn from
working artists, scientists, designers, and writers.
SKILL.md becomes a 4-step router (extract PHASE/DOMAIN/SPECIFICITY signals
→ apply overrides → route phase-then-domain → resolve ambiguity), with
anti-slop operating rules and an anti-default check.
Adds:
- 22 method files under references/methods/ — oblique-strategies (Eno/Schmidt),
oulipo, scamper, lateral-provocations (de Bono), triz (Altshuller),
leverage-points (Meadows), pattern-languages (Alexander), compression-progress
(Schmidhuber), analogy-and-blending, pataphysics, first-principles, polya,
biomimicry, volume-generation, creative-discipline, premortem-and-inversion,
defamiliarization, derive-and-mapping, affinity-diagrams, jobs-to-be-done,
story-skeletons, chance-and-remix. Each: when/when-not, the actual
cards/principles/operators, a procedure, a worked example, anti-slop notes.
- references/method-catalog.md (index + when-to-use), heuristics.md (extended
decision tree), anti-slop.md (rules applied to every output), exercises.md
(time-boxed exercises).
- full-prompt-library.md restructured into domain-affinity sections (general /
software / physical / social / lists) so the no-direction default isn't
developer-biased.
Frontmatter: name aligned to directory slug (creative-ideation, folding in
the fix from #18084); version 2.0.0→2.1.0; platforms field preserved.
Original wttdotm-derived constraint dispatch is kept as the default path.
Supersedes #19295 (which targeted the pre-move skills/ path).
Co-authored-by: SHL0MS <SHL0MS@users.noreply.github.com>
* feat(skills): add html-artifact skill, fold in sketch + architecture-diagram + concept-diagrams
Adds a unified `html-artifact` creative skill that produces self-contained,
single-file HTML artifacts — concept explainers, implementation plans,
status/incident reports, code-review walkthroughs, technical + educational
SVG diagrams, multi-variant design comparisons, and throwaway editors that
export their state back to the clipboard. Grounded in Anthropic's
html-effectiveness gallery (MIT); the house style (token block, serif/sans/
mono split, hand-rolled diffs, inline-SVG diagrams, graceful degradation) is
distilled from reading all 20 reference files.
Supersedes and removes three overlapping skills, folding their unique value in:
- sketch -> the fidelity dial (throwaway vs presentation) + the
multi-variant comparison layouts + the browser-vision
verify loop (references/fidelity-and-verify.md)
- architecture-diagram-> the dark "infra" token variant + double-rect masking +
semantic component palette (references/dark-tech.md,
templates/diagram.html infra mode)
- concept-diagrams -> the 9-ramp educational color system + the concept
archetype library (references/concept-archetypes.md,
the light design system in templates/diagram.html)
Structure:
- SKILL.md (description exactly 60 chars), 6 references, 3 templates
- templates verified by headless-Chrome render + vision inspection
- editor export logic (file://-safe clipboard, Promise-normalized) verified in node
Cross-references updated in claude-design (new disambiguation table row drawing
the design-taste vs information-artifact boundary), design-md, pretext, spike,
and kanban-video-orchestrator. Website skill docs + catalogs regenerated;
stale EN/zh-Hans per-skill pages pruned and i18n cross-refs fixed.
Not folded (intentionally orthogonal): excalidraw (.excalidraw JSON), p5js
(generative canvas), claude-design / popular-web-designs / design-md (visual
design taste / brand vocab / token spec).
* feat(skills): ship html-effectiveness gallery as fetched reference examples
Add scripts/fetch-examples.sh (idempotent clone/pull of Anthropic's MIT
html-effectiveness gallery) + references/examples.md mapping each of the 20
example files to a mode so the agent reads the right worked example. The clone
lands in references/examples/ and is gitignored (it's a 384KB upstream repo,
not vendored). SKILL.md workflow + reference list now point at it; falls back to
the distilled pattern references when offline.
* feat(skills): make reading a gallery example a required authoring step
Reading the matching html-effectiveness example is now workflow step 2 (was an
optional aside in step 3): fetch the gallery, read_file the file for your mode,
mirror its structure. Models skip optional steps; the examples are the ground
truth, so consulting one is mandatory. Added an 'Example' column to the
mode->build quick-reference table and a 'don't skip the example' pitfall.
Also dogfooded the skill: read 03-code-review-pr.html and 13-flowchart-diagram.html
raw and reconciled the distilled references against source — aligned diff-row tint
opacity to the source's 0.15 (was 0.18) and added the .ctx/.hunk rows in
house-style.md + base.html so they match 03-code-review-pr.html verbatim.
* docs(skills): explain the consolidation + bundled-vs-optional rationale
The supersession note only stated *what* was folded, not *why* the prune is
sound. Expand SKILL.md's intro into a 'Why this skill exists' section: the three
former skills emitted the same artifact and overlapped, so consolidating removes
which-one-do-I-load ambiguity; and the optional->bundled promotion of
concept-diagrams is footprint-safe because this skill has zero deps (only cost is
the 60-char description; everything else is progressive-disclosure). States the
bundling dividing line explicitly: zero install cost + broadly useful gets
bundled, real install cost (hyperframes: Node+FFmpeg+Chromium) stays optional.
Regenerated website per-skill page to match.
Rewrites the Shop personal-shopping-assistant skill to use the
@shopify/shop-cli (with a full direct-API fallback in references/),
replacing the previous curl-only shop-app skill.
- Rename optional-skills/productivity/shop-app -> shop
- Add references/: catalog-mcp.md, direct-api.md, safety.md, legal.md
- Catalog discovery via Shopify Global Catalog MCP (search / lookup /
get-product), device-authorization sign-in, UCP agent checkout with
delegated spending budget, and order tracking / returns / reorder
- One-product-per-message presentation rules + per-channel overrides
- Expanded security, safety, and legal guidance
Website docs are auto-generated from SKILL.md by CI
(website/scripts/generate-skill-docs.py), so no docs are hand-edited here.
* feat(skills): add optional payments skills (Stripe Link, MPP, Projects)
Adds four optional skills under optional-skills/payments/ wrapping the
Stripe Link CLI, the Machine Payments Protocol (MPP) clients, and the
Stripe Projects CLI plugin. Plus a router skill (payments) that picks
between them based on user intent.
All four are gated [linux, macos] — Stripe's Link CLI does not yet
support Windows. The other CLIs (mppx, stripe projects) are
cross-platform on paper but the payments cluster moves as a unit until
Link CLI gains Windows support.
Skills:
- stripe-link-cli - one-time virtual cards + Shared Payment Tokens
- mpp-agent - HTTP 402 payments via mppx/Tempo/Privy/AgentCash
- stripe-projects - provision SaaS services + credential sync
- payments - router/index skill for the cluster
Hard invariants encoded in every skill:
- Card PANs/wallet keys never enter agent transcripts, logs, or memory
- Spend approvals are not self-bypassable (Link app / wallet UI / CLI prompt)
- Final totals confirmed with user before any --request-approval call
- Credential output files cleaned up after one-time use
Zero core touches. Skills install via:
hermes skills install official/payments/<skill>
* chore(skills/payments): drop router skill — skills shouldn't depend on other skills
Removed optional-skills/payments/payments/ — the router skill that
existed to hand off between stripe-link-cli, mpp-agent, and
stripe-projects.
Per project convention: skills should be independently loadable; a
router is a footgun because (a) it assumes the loader will follow its
recommendation rather than just loading what the user asked for, and
(b) it duplicates the trigger logic that already lives in each
sub-skill's '## When to Use' section.
The three remaining skills declare their own triggers and routing
hints. The optional-skills catalog still groups them under '## payments',
which is the appropriate place for cluster-level discoverability.
Also drops 'payments' from each remaining skill's 'related_skills' list
and removes the corresponding entries from the docs catalog + sidebars.
* feat(skills/payments): fold in danhill-stripe review feedback
- mpp-agent: add link-cli as a client option (when Link is already set
up, or the 402 challenge advertises method="stripe")
- stripe-link-cli: reframe Link account / payment method / approval app
as first-run setup, not hard preconditions (CLI configures them on
first run)
- regenerate the two affected optional-skills docs pages
Follow-up to the GitHub-skills fix: the same hardcoded ~/.hermes/.env
pattern existed across other bundled and optional skills. Under the
official Docker setup (HERMES_HOME=/opt/data, subprocess HOME=/opt/data/home)
those paths point at a nonexistent file.
- kanban-video-orchestrator setup.sh.tmpl + docs: resolve via
${HERMES_HOME:-$HOME/.hermes}/.env in check_key()
- telephony.py / canvas_api.py / hyperliquid_client.py: error and
save messages now report the real resolved env path instead of a
hardcoded literal (path resolution itself was already correct)
- godmode SKILL.md: load_dotenv snippet resolves via HERMES_HOME
- watch_github.py + ~20 SKILL.md prose mentions: document the env file
as ${HERMES_HOME:-~/.hermes}/.env so Docker users edit the right file
* chore(skills): remove red-team skills (godmode, obliteratus) from bundled catalog
Anthropic's output classifier on claude-fable-5 (and likely other Claude
models served through it) intermittently returns empty content for sessions
whose system prompt advertises these skills. The bundled skills-catalog block
is injected into every session's system prompt, so the descriptions
- red-teaming/godmode 'Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN'
- mlops/inference/obliteratus 'OBLITERATUS: abliterate LLM refusals (diff-in-means)'
trip the classifier on EVERY session regardless of which skill is actually
loaded, killing unrelated legitimate work (PR review, codebase audits, etc.).
Measured impact (controlled, interleaved A/B, claude-fable-5 via OpenRouter,
prompts differing only by the ~204 chars of these catalog lines, N=20 each):
catalog lines present -> 19/20 (95%) blocked
catalog lines absent -> 5/20 (25%) blocked
Removing them ~quartered the block rate. Rewording the descriptions was not
enough; the skills must leave the bundled catalog.
- Delete skills/red-teaming/godmode and skills/mlops/inference/obliteratus
- Drop their generated doc pages + catalog/sidebar entries (EN + zh-Hans)
- Drop the godmode hand-written-page exception in generate-skill-docs.py
* chore(skills): relocate godmode + obliteratus to optional-skills
Rather than deleting outright, move both into optional-skills/ so they remain
installable via `hermes skills install` while leaving the always-injected
bundled catalog (which is what tripped Anthropic's classifier).
- optional-skills/security/godmode (was skills/red-teaming/godmode)
- optional-skills/mlops/obliteratus (was skills/mlops/inference/obliteratus)
- regenerate optional-skills catalog + sidebar entries
Self-hosted Honcho setup had four sharp edges:
- local/cloud URLs ending in /vN double-prefixed by the SDK (/v3/v3/... 404)
- authenticated local servers had no setup prompt for a JWT/bearer token
- profile-derived host keys could be dot-containing workspace IDs Honcho rejects
- memory-provider config files with API keys written world-readable per umask
This keeps existing behavior but makes those paths safer:
- strip a trailing /vN version segment from any configured baseUrl before SDK
init (the SDK's route builders always prepend their own version prefix);
auth-skipping stays loopback-only
- add an optional local JWT/bearer prompt in honcho setup, stored under
hosts.<host>.apiKey
- derive new profile host keys with underscores, still reading legacy
hermes.<profile> blocks
- write memory-provider config files atomically with 0600 via a shared
utils.atomic_json_write(mode=) arg (honcho/hindsight/mem0/supermemory)
- skip honcho.json parsing in gateway cache-busting unless Honcho is the active
memory provider; memoize by honcho.json mtime when active
- bust the gateway agent cache on memory.provider change
- add a hermes memory setup <provider> one-liner so fresh installs can configure
a named provider without the picker (the per-provider hermes <provider>
subcommand only registers once that provider is active)
Closes#20688, #29885, #26459, #30246, #33382, #32244.
Co-authored-by: BROCCOLO1D
Remove unused imports (F401) and duplicate/shadowed import
redefinitions (F811) across the codebase using ruff's safe
autofixes. No behavioral changes -- imports only.
- ~1400 safe autofixes applied across 644 files (net -1072 lines)
- __init__.py re-exports preserved (excluded from F401 removal so
public re-export surfaces stay intact)
- Re-exports that are imported or monkeypatched by tests but look
unused in their defining module are kept with explicit # noqa:
F401 (gateway/run.py load_dotenv; run_agent re-exports from
agent.message_sanitization, agent.context_compressor,
agent.retry_utils, agent.prompt_builder, agent.process_bootstrap,
agent.codex_responses_adapter)
- Unsafe F841 (unused-variable) fixes deliberately skipped -- those
can change behavior when the RHS has side effects
- ruff lints remain disabled in pyproject.toml (only PLW1514 is
selected); this is a one-time cleanup, not a config change
Verification:
- python -m compileall: clean
- pytest --collect-only: all 27161 tests collect (zero import errors)
- core entry points import clean (run_agent, model_tools, cli,
toolsets, hermes_state, batch_runner, gateway)
- static scan: every name any test imports directly from an edited
module still resolves
Adds optional-skills/security/web-pentest/ — an authorized web app
penetration testing skill adapted from Shannon's methodology (concepts
only; AGPL-clean fresh implementation).
Phased: recon (read-only) → vuln analysis (delegate_task per OWASP
class) → proof-based exploitation → report.
Guardrails baked in:
- Authorization gate before first active scan (templates/authorization.md)
- Scope allowlist (scope.txt) consulted by recon-scan.sh and
documented as the rule for every active request
- Aux-client leakage warning (compression + title gen replay history;
payloads/creds must not enter chat verbatim)
- Bypass-exhaustion discipline before false-positive classification
- L3/L4 (proof-required) for reportable findings; L1/L2 listed as
candidates only
Closes#400. Supersedes #21845 (plugin-shaped proposal; skill-shaped is
cheaper and matches the existing optional-skills/security/ pattern).
Adds an optional autonomous-ai-agents skill that delegates coding tasks
to the OpenHands CLI (https://github.com/All-Hands-AI/OpenHands). Sits
alongside claude-code / codex / opencode and is the model-agnostic
option in that family — any LiteLLM-supported provider works.
This is a ground-truth rewrite of #19325 by @xzessmedia (Tim Koepsel).
The original PR's SKILL.md was drafted by the OpenHands agent itself and
hallucinated several flags that don't exist in the real CLI (\`--model\`,
\`--max-iterations\`, \`--workspace\`, \`--sandbox docker\`), pointed at
the wrong PyPI package (\`openhands-ai\`, which is the legacy V0 SDK),
and claimed native Windows support that the upstream docs explicitly
disclaim. Rather than cherry-pick and rewrite half the lines under
contributor authorship, the SKILL.md was rebuilt against a verified
install (\`uv tool install openhands --python 3.12\`) and a real
end-to-end \`--headless --json\` run against openrouter/openai/gpt-4o-mini.
Authorship credited via the \`author:\` frontmatter field and an
AUTHOR_MAP entry in scripts/release.py.
Changes:
- optional-skills/autonomous-ai-agents/openhands/SKILL.md (new)
- website/docs/user-guide/skills/optional/autonomous-ai-agents/autonomous-ai-agents-openhands.md (auto-gen)
- website/docs/reference/optional-skills-catalog.md (one new row)
- website/sidebars.ts (one new entry under Optional → Autonomous AI Agents)
- scripts/release.py (AUTHOR_MAP entry for xzessmedia)
Pitfalls documented in the SKILL came from running the tool, not from
the upstream README: LiteLLM bedrock/sagemaker stderr noise on every
invocation, banner spam (\`OPENHANDS_SUPPRESS_BANNER=1\` required),
\`--override-with-envs\` mandatory or the CLI ignores LLM_* env vars
entirely, the dashed-vs-undashed Conversation ID footgun for \`--resume\`,
LiteLLM model-slug double-prefix when going through OpenRouter.
* feat(skills): add code-wiki skill — closes#486
Bundled skill at skills/software-development/code-wiki/ that generates
comprehensive documentation for any codebase: project overview, architecture
walkthrough with Mermaid flowchart, per-module deep-dives, class diagram,
sequence diagrams, getting-started guide, and (when applicable) API reference.
Output defaults to ~/.hermes/wikis/<repo-name>/ (external to repo, like
Google CodeWiki); in-repo output supported when user explicitly requests it.
Uses only existing Hermes tools (terminal, read_file, search_files,
write_file) — no Docker, no external services, no extra dependencies. Works
on local repos and GitHub URLs (shallow-clones to a temp dir). Bounded scope
defaults (depth 3, cap 10 modules) keep token cost reasonable on large repos.
* refactor(skills): move code-wiki to optional-skills
Per the 'when in doubt, optional' rule — wiki generation is a 'I want this
big thing right now' capability, not daily-driver behavior. Lines up with
finance/research/blockchain skills as install-on-demand rather than always
loaded.
Install via: hermes skills install official/software-development/code-wiki
show_snapshot.py unpickled a user-supplied path unconditionally. pickle.loads
is equivalent to arbitrary code execution, so a snapshot from an untrusted
source = RCE. Require an explicit --i-trust-this-file acknowledgement before
calling pickle.loads, and emit a stderr warning when proceeding.
Co-authored-by: Jiahui-Gu <jiahuigu@users.noreply.github.com>
Six days after #23937 (608 fixes) the codebase had accumulated 241 new
PLR6201 violations. Same mechanical `x in (...)` → `x in {...}` fix,
same zero-risk profile: set lookup is O(1) vs O(n) for tuple and the
two are semantically equivalent for hashable scalar membership tests.
All 241 instances fixed via `ruff check --select PLR6201 --fix
--unsafe-fixes`, zero remaining. Every changed value is a hashable
scalar (str/int/None/enum/signal); no risk of unhashable runtime
errors. No behavior change.
Test plan:
- 119 files changed, +244/-244 (net zero) — exactly one-line edits
- `ruff check` clean afterward
- Compile checks pass on the largest touched files (cli.py, run_agent.py,
gateway/run.py, gateway/platforms/discord.py, model_tools.py)
- Subset broad test run on tests/gateway/ tests/hermes_cli/ tests/agent/
tests/tools/: 18187 passed, 59 pre-existing failures (verified against
origin/main with the same shape — identical failure count, identical
category — all xdist test-order flakes unrelated to this change)
Follows the same template as PR #23937 ([tracker: #23972](https://github.com/NousResearch/hermes-agent/issues/23972)).
* feat(skills): add osint-investigation optional skill (closes#355)
Phase-1 public-records OSINT investigation framework adapted from
ShinMegamiBoson/OpenPlanter (MIT). Lives in optional-skills/research/.
Six data-source wiki entries (FEC, SEC EDGAR, USAspending, Senate LD,
OFAC SDN, ICIJ Offshore Leaks), each following the 9-section template:
summary, access, schema, coverage, cross-reference keys, data quality,
acquisition, legal, references.
Six stdlib-only acquisition scripts that emit normalized CSV, plus three
analysis scripts:
- entity_resolution.py — three-tier match (exact / fuzzy / token overlap)
with explicit confidence per row
- timing_analysis.py — permutation test for donation/contract timing
correlation, joins through cross-links
- build_findings.py — assembles structured findings.json with
evidence chains pointing back to source rows
Validation: full pipeline runs end-to-end on synthetic fixtures. Entity
resolution found 24 cross-matches with 0 false positives on a 5-row /
4-row test set. Timing analysis on 5 donations clustered near 3 awards
returned p=0.000, effect size 2.41 SD. Findings JSON correctly tags
HIGH-severity timing pattern. All 9 scripts pass --help and py_compile.
Docs site page auto-generated by website/scripts/generate-skill-docs.py;
sidebar + catalog entries updated by the same generator.
* fix(osint-investigation): live API fixes from end-to-end sweep
Live-tested the skill on a real public-citizen query and found three bugs
the synthetic E2E missed. All three are now fixed and re-verified.
1. FEC fetch hung on contributor name searches.
The combination of two_year_transaction_period + sort=date +
contributor_name puts the OpenFEC query plan on a slow path that the
upstream gateway times out (25s+). Switched to min_date/max_date with no
explicit sort. Renamed --candidate to --contributor (the original name
was misleading: FEC searches by donor, not by candidate; --candidate is
kept as a deprecated alias). Added --state filter for narrowing.
2. ICIJ Offshore Leaks reconcile endpoint returns 404.
ICIJ removed the Open Refine reconciliation API. Rewrote
fetch_icij_offshore.py to download the official bulk CSV ZIP (~70 MB,
public, no auth) and search it locally. Cached under
$HERMES_OSINT_CACHE/icij/ (default ~/.cache/hermes-osint/icij/) for
30 days, --force-refresh to refetch. Verified live: 'PUTIN' query
returns 5 Panama Papers officer matches in 0.5s after first download.
3. SEC EDGAR silently returned 0 when the company-name resolver matched
an individual Form 3/4/5 filer (insider trading disclosures).
Now surfaces 'Resolved company X → CIK Y (Z)' on stderr, prints a
filing-type histogram when the type filter wipes results, and
explicitly warns when the matched CIK appears to be an individual
filer rather than a corporate registrant.
Bonus: _http.py was retrying 429 responses with exponential backoff plus
honoring (often-missing) Retry-After headers, which compounded into
multi-second hangs per page when the upstream key was over quota.
Changed to fail-fast on 429 with a clear, actionable error showing the
upstream's quota message. Verified: 0.3s fast-fail vs the previous 60s
hang on DEMO_KEY rate-limit exhaustion.
Updated SKILL.md, fec.md, and icij-offshore.md to match the new CLI
flags and ICIJ bulk-cache flow. Regenerated the docusaurus page via
website/scripts/generate-skill-docs.py.
Live sweep results across all 6 sources for 'Dillon Rolnick, New York':
- OFAC SDN: 0 matches ✓ (correctly not sanctioned)
- USAspending: 0 matches ✓ (correctly not a federal contractor)
- Senate LDA: 0 matches ✓ (correctly not a lobbying client)
- SEC EDGAR: warns it resolved to 'Rolnick Michael' (CIK 0001845264)
who is an individual Form 3 filer, not a corporate registrant
- ICIJ: 0 matches ✓ (correctly not in any offshore leak)
- FEC: rate-limited (DEMO_KEY); fails fast with clear quota message
* feat(osint-investigation): expand to 12 sources covering identity, property, courts, archives, news
Phase-2 expansion per Teknium feedback that the original 6-source skill
(federal financial/regulatory only) wasn't a complete OSINT toolkit. Adds
6 more sources covering the major omissions a real investigation would
reach for first.
New sources (6 fetch scripts + 6 wiki entries):
1. NYC ACRIS — Real property records (deeds, mortgages, liens) via the
city's Socrata API. Search by party name or property address. Joins
Parties to Master to populate doc_type, dates, borough, and amount.
Coverage: 5 NYC boroughs, ~70M party records, 1966-present.
2. OpenCorporates — Global corporate registry covering 130+ jurisdictions
(~200M companies). Free API token at
https://opencorporates.com/api_accounts/new raises the rate limit;
HTML fallback works without one (limited fields).
3. CourtListener (Free Law Project) — federal + state court opinions
(~10M back to colonial era) + PACER dockets via RECAP. Anonymous v4
search works; COURTLISTENER_TOKEN raises rate limits.
4. Wayback Machine CDX — historical web captures (~900B+). Used both for
surveillance-of-record (when did this site change?) and as a
content-recovery layer when other sources point to dead URLs.
5. Wikipedia + Wikidata — narrative bio + structured facts. Wikipedia
OpenSearch for article matching, REST summary for extracts, Wikidata
Action API (wbgetentities) for claims. Avoids the SPARQL Query
Service which is aggressively rate-limited.
6. GDELT 2.0 DOC API — global news monitoring in 100+ languages,
~2015-present. Auto-retries with 6s backoff on the standard
1-req-per-5-sec throttle.
Other changes in this commit:
- SEC EDGAR no longer raises SystemExit when the company-name resolver
finds no CIK; writes an empty CSV with header so the rest of a
pipeline can keep moving and the warning is just on stderr.
- _http.py User-Agent updated per Wikimedia policy: includes app name,
version, and a 'set HERMES_OSINT_UA to identify yourself' instruction.
- SKILL.md workflow now groups sources into two clusters (federal
financial vs identity/property/courts/archives/news) with bash
examples for each. 'When to use this skill' lists the broader set of
investigation patterns the expanded sources unlock.
Live sweep results on 'Dillon Rolnick, New York' across all 12 sources:
ofac ✓ 0 (correctly clean)
icij ✓ 0 (correctly not in any leak)
usaspending ✓ 0 (correctly not a federal contractor)
senate_lda ✓ 0 (correctly not a lobbying client)
sec_edgar ✓ 0, warns: resolved to 'Rolnick Michael' (CIK 0001845264),
individual Form 3 filer, NOT a corporate registrant
fec — rate-limited (DEMO_KEY exhausted), fails fast with
clear quota message
nyc_acris ✓ 200 records named Rolnick across NYC; 48 records at
571 Hudson (the property the web identifies as his)
opencorporates ✓ 0 (no API token configured; HTML fallback)
courtlistener ✓ 0 for 'Dillon Rolnick'; 20 for 'Rolnick' generally;
5 for 'Microsoft' sanity check
wayback ✓ 30 captures of nousresearch.com from 2011-present
wikipedia ✓ 0 (correctly not notable enough); Bill Gates sanity
returns full structured facts (occupation, employer,
DOB, place of birth, country)
gdelt ✓ 0 for 'Dillon Rolnick'; 5 for 'Nous Research'
All 17 scripts compile clean and pass --help. Synthetic analysis pipeline
regression still passes (entity_resolution 30 matches, timing p=0.000,
findings 2).
* feat(osint-investigation): remove FEC; DEMO_KEY rate-limits make it unreliable
The FEC fetcher consistently failed the live sweep because the OpenFEC
DEMO_KEY tier (40 calls/hour) exhausts on a single investigation, and
the upstream returns slow-path query plans for unindexed contributor-name
searches that the gateway times out. Without a real API key it's not
usable; with one the user has to sign up at api.data.gov first. That's
too much setup friction for a skill that should work out of the box.
Removed:
- scripts/fetch_fec.py
- references/sources/fec.md
Updated:
- SKILL.md frontmatter description + tags
- 'When NOT to use' now points users at https://www.fec.gov/data/ for
federal donations
- entity_resolution example switched from donor↔contractor to
lobbying-client↔contractor (Senate LDA + USAspending pair)
- timing_analysis example switched to lobbying-filings vs awards
- 8 wiki entries had their 'FEC ↔ ...' cross-reference bullets removed
11 sources remain (5 federal financial + 6 identity/property/courts/
archives/news). All scripts compile, pass --help, and the synthetic
analysis pipeline still passes on the new lobbying-shaped regression
fixture (30 matches, p=0.000 on tight clustering, 2 findings).
Zero-install localhost tunnels over SSH via Pinggy. Covers HTTP/HTTPS,
TCP, TLS, access control (basic auth / bearer / IP whitelist), header
manipulation (CORS, force-HTTPS), web debugger, Pro token mode, and four
composite recipes (webhook receiver, MCP server exposure, local LLM
endpoint share, dev-server quick-share with one-shot password).
Closes#361
Thin wrapper around Imbue's darwinian_evolver (AGPL-3.0, subprocess-only).
Ships a working OpenRouter driver (parrot_openrouter.py), a snapshot
inspector (show_snapshot.py), and a custom-problem template. SKILL.md
has 58-char description, Pitfalls sourced from actually running the loop:
non-viable seed trap, Azure content filter killing runs, loop.run() being
a generator, nested-pickle snapshots, and aggressive default concurrency.
Salvaged from #12719 by @Bihruze — original PR shipped 12,289 LOC across
61 files (29 Python modules, FastAPI dashboard, VS Code extension,
benchmark hub, marketplace, etc.) which was far beyond the scope of the
underlying issue (#336). This version stays at the ~700-LOC scope that
issue actually asked for. Authorship of the original effort credited via
AUTHOR_MAP entry and the SKILL.md author field.
Verified end-to-end: seed 'Say {{ phrase }}' (score 0.000) evolved into
'Please repeat the following phrase exactly as it is, without any
modifications or additional formatting: {{ phrase }}' (score 0.750)
across 3 iterations on gpt-4o-mini via OpenRouter.
Co-authored-by: Bihruze <98262967+Bihruze@users.noreply.github.com>
Salvages the closed PR #2010 (Mibayy's EVM multi-chain skill) and folds the
existing optional-skills/blockchain/base/ skill into it, so we ship one
unified EVM skill instead of two overlapping ones.
Pulled in from base/:
- 8 missing Base-specific tokens (AERO, DEGEN, TOSHI, BRETT, WELL,
cbETH, cbBTC, wstETH, rETH) added to KNOWN_TOKENS['base'] —
base/ had 11, evm/ only had 3 (USDC/DAI/WETH).
- L1 data-fee pitfall note for rollups (Base, Arbitrum, Optimism, zkSync).
- Batch-size chunking in rpc_batch (Base RPC caps batches at 10 calls
per JSON-RPC request; adding more known tokens tripped that limit
and broke 'wallet --chain base' with a 'list index out of range'
error). Ported the chunking pattern from base/_rpc_batch_chunk.
Latent bugs found and fixed while smoke-testing the merge:
- cmd_multichain and cmd_allowance both iterated KNOWN_TOKENS[chain]
with 'for contract, (symbol, _name) in known.items()' — but the dict
shape is {symbol: contract_str}, not {addr: (sym, name)}. This raised
'too many values to unpack (expected 2)' on every non-zero balance.
Now iterates as 'for symbol, contract in known.items()'.
- Input validation: added is_valid_address / is_valid_txhash /
require_address / require_txhash helpers and wired them into
cmd_wallet, cmd_tx, cmd_token, cmd_activity, cmd_allowance,
cmd_decode, cmd_contract, cmd_multichain. Fails fast with exit 2
on malformed input instead of burning an RPC round-trip on garbage.
Documentation:
- SKILL.md now flags that this skill supersedes optional-skills/blockchain/base.
- Pitfalls expanded for ENS (single-endpoint dependency on
ensideas.com), tx decoding (single-endpoint dependency on
4byte.directory), and rollup L1 fees.
- Regenerated website/docs/user-guide/skills/optional/blockchain/
blockchain-evm.md and removed the old blockchain-base.md page;
catalog updated.
Removed:
- optional-skills/blockchain/base/SKILL.md
- optional-skills/blockchain/base/scripts/base_client.py
- website/docs/user-guide/skills/optional/blockchain/blockchain-base.md
Smoke-tested live against Base mainnet: stats, price, token, wallet
(vitalik.eth — 3.12 ETH + 13.88 USDC + 4.23 DAI + 0.06 WETH on Base)
and allowance (ethereum, 7 unlimited approvals to Uniswap/Permit2).
Original PR #2010 author: Mibayy.
Original base/ skill author: youssefea.
More specific name. The skill is REST + GraphQL debugging end-to-end,
not generic 'api testing' (a smoke-test pytest scaffold is one short
section out of ~500 lines). Renames directory + frontmatter name +
self-reference in the delegate_task example body.
- Implement tests for normalizing perpetual markets and DEXs.
- Validate JSON output for main commands including markets, candles, and review.
- Ensure environment variable resolution and dotenv file reading are covered.
- Test export functionality for market data with expected output structure.
These skills require heavy GPU/CUDA stacks or are niche enough that they shouldn't
be active by default. Moved to optional-skills/ where users opt-in via
`hermes skills install official/...`.
Moved:
- mlops/training/axolotl
- mlops/training/trl-fine-tuning
- mlops/training/unsloth
- mlops/inference/outlines
Counts: 91 -> 87 built-in, 72 -> 76 optional.
Auto-regenerated docs (per-skill pages + catalogs) reflect the move.
The platforms-frontmatter sweep inserted 'platforms: [linux, macos, windows]'
immediately after 'description: >' on 5 optional-skills, landing inside the
folded scalar and breaking YAML parsing. docs-site-checks tripped on
one-three-one-rule/SKILL.md and would have failed on the other 4 in turn.
Fixed files:
- optional-skills/communication/one-three-one-rule/SKILL.md
- optional-skills/health/fitness-nutrition/SKILL.md
- optional-skills/health/neuroskill-bci/SKILL.md
- optional-skills/research/drug-discovery/SKILL.md
- optional-skills/security/oss-forensics/SKILL.md
Moved each platforms line below the closing of the description block.
All 161 SKILL.md files across the repo now parse as valid YAML.
Extends the Windows-gating work to the optional-skills/ tree. Every
SKILL.md that previously omitted the platforms: field now carries an
explicit declaration, which Hermes's loader (agent.skill_utils.
skill_matches_platform) honors to skip-load on incompatible OSes.
58 skills declared cross-platform (platforms: [linux, macos, windows]):
autonomous-ai-agents/blackbox, autonomous-ai-agents/honcho
blockchain/base, blockchain/solana
communication/one-three-one-rule
creative/blender-mcp, creative/concept-diagrams, creative/hyperframes,
creative/kanban-video-orchestrator, creative/meme-generation
devops/cli (inference-sh-cli), devops/docker-management
dogfood/adversarial-ux-test
email/agentmail
finance/3-statement-model, finance/comps-analysis, finance/dcf-model,
finance/excel-author, finance/lbo-model, finance/merger-model,
finance/pptx-author
health/fitness-nutrition, health/neuroskill-bci
mcp/fastmcp, mcp/mcporter
migration/openclaw-migration
mlops/accelerate, mlops/chroma, mlops/clip, mlops/guidance,
mlops/hermes-atropos-environments, mlops/huggingface-tokenizers,
mlops/instructor, mlops/lambda-labs, mlops/llava, mlops/modal,
mlops/peft, mlops/pinecone, mlops/pytorch-lightning, mlops/qdrant,
mlops/saelens, mlops/simpo, mlops/stable-diffusion
productivity/canvas, productivity/shop-app, productivity/shopify,
productivity/siyuan, productivity/telephony
research/domain-intel, research/drug-discovery, research/duckduckgo-search,
research/gitnexus-explorer, research/parallel-cli, research/scrapling
security/1password, security/oss-forensics, security/sherlock
web-development/page-agent
5 skills gated from Windows (platforms: [linux, macos]):
mlops/flash-attention - Flash Attention wheels are Linux-first; Windows
install requires building from source with CUDA
mlops/faiss - faiss-gpu has no Windows wheel; gate rather than
leak partial (faiss-cpu) support
mlops/nemo-curator - NVIDIA NeMo ecosystem has no first-class Windows path
mlops/slime - Megatron+SGLang RL stack is Linux-only in practice
mlops/whisper - openai-whisper + ffmpeg setup on Windows is
non-trivial; gate until Windows install stanza lands
Methodology: scanned every SKILL.md for Windows-hostile signals
(apt-get, brew, systemd, osascript, ptrace, X11 binaries, POSIX-only
Python APIs, Docker POSIX $(pwd) bind-mounts, explicit 'linux-only' /
'macos-only' text). 3 skills flagged as having hard signals on review:
docker-management and qdrant only had POSIX $(pwd) docker examples and
the tools themselves (Docker Desktop, Qdrant) run fine on Windows —
declared ALL. whisper had an apt/brew ffmpeg install path and nothing
else but the openai-whisper Windows install story is rough enough to
warrant gating.
Strict-over-lenient policy: when in doubt, gate. Easier to un-gate after
verified Windows support lands than to leak partial support that
manifests as mid-task failures for Windows users.
Hermes's skill loader (agent/skill_utils.skill_matches_platform) already honors
the 'platforms:' frontmatter field and skip-loads skills whose declared
platform list doesn't include sys.platform. Seven bundled skills are in fact
Linux/macOS-only but never declared it, so they leak into Windows skill
listings and sometimes load with broken instructions.
Audited all 160 SKILL.md files (skills/ + optional-skills/) for Windows-
hostile signals: apt-get/brew/systemd/chmod+x install flows, ptrace/proc
runtime dependencies, bash-only launcher scripts, and package dependencies
with no Windows build. The 7 below fail one or more of those tests in a way
that fundamentally can't be papered over by docs edits:
minecraft-modpack-server bash start.sh + chmod +x + apt openjdk
evaluating-llms-harness lm-eval-harness bash launcher scripts
distributed-llm-pretraining-
torchtitan bash multi-node torchrun launcher
python-debugpy remote attach relies on /proc ptrace_scope
pytorch-fsdp NCCL backend; Windows path is WSL only
tensorrt-llm NVIDIA TensorRT-LLM has no Windows build
searxng-search Docker volume flow assumes POSIX $(pwd)
All seven get 'platforms: [linux, macos]'. On Windows the loader now skips
them silently — no more phantom skill listings, no more mid-task failures
because an Apple-only path was surfaced as a suggestion.
Cross-platform skills that merely CONTAIN signals in examples or
install-instructions (brew install as one of several paths, /tmp/ in a code
snippet, etc.) are NOT touched by this commit. A broader audit that
declares the ~140 cross-platform skills as 'platforms: [linux, macos,
windows]' can follow as a separate change once each has been verified
working on Windows.
The installed user copies under ~/AppData/Local/hermes/skills/ (when they
exist) are also patched so the running session reflects the gating
immediately, but only the in-repo files are committed here.
* feat(skills): watchers skill — poll RSS / HTTP JSON / GitHub via cron no-agent
Ships three reusable polling scripts plus a shared watermark helper as an
optional skill. Users wire them into the existing cron (no_agent=True)
mode rather than learning a new subsystem.
Supersedes the closed PR #21497 (parallel watcher subsystem). Same value,
zero new core surface.
## What ships
- optional-skills/devops/watchers/SKILL.md: pattern + three example cron commands
- optional-skills/devops/watchers/scripts/_watermark.py: shared helper
(atomic state writes, bounded ID set, first-run baseline)
- optional-skills/devops/watchers/scripts/watch_rss.py: RSS 2.0 + Atom
- optional-skills/devops/watchers/scripts/watch_http_json.py: any JSON endpoint
with configurable id_field / items_path / headers
- optional-skills/devops/watchers/scripts/watch_github.py: issues / pulls /
releases / commits (uses GITHUB_TOKEN if present)
## Invariants enforced by the shared helper
- First run records baseline, emits nothing (never replays existing feed)
- Watermark file is <state_dir>/<name>.json, atomic replace on write
- Bounded to 500 IDs (configurable)
- Empty stdout when no new items — cron treats that as silent delivery
## Validation
- watch_rss.py against news.ycombinator.com/rss first run → empty stdout, watermark populated
- Removed one seen-id, second run → emitted exactly that item
- No DeprecationWarnings (ET element truth-value footgun dodged explicitly)
End-user pattern: 'hermes cron create my-feed --schedule "*/15 * * * *" --no-agent --script $HERMES_HOME/skills/devops/watchers/scripts/watch_rss.py --script-args "--name hn --url https://news.ycombinator.com/rss" --deliver telegram'
* docs(skills/watchers): tighten description to match peer optional skills
* docs(skills/watchers): align frontmatter + structure with peer optional skills
* docs(skills/watchers): gate to linux/macos (shell syntax in examples)
Adds 7 optional skills under optional-skills/finance/ adapted from
anthropics/financial-services (Apache-2.0):
excel-author — openpyxl conventions: blue/black/green cells,
formulas over hardcodes, named ranges, balance
checks, sensitivity tables. Ships recalc.py.
pptx-author — python-pptx for model-backed decks (pitch,
IC memo, earnings note) that bind every number
to a source workbook cell.
dcf-model — institutional DCF (49KB skill): projections,
WACC, terminal value, Bear/Base/Bull scenarios,
5x5 sensitivity tables. Ships validate_dcf.py.
comps-analysis — comparable company analysis: operating metrics,
multiples, statistical benchmarking.
lbo-model — leveraged buyout: S&U, debt schedule, cash
sweep, exit multiple, IRR/MOIC sensitivity.
3-statement-model — fully-integrated IS/BS/CF with balance-check
plugs. Ships references/ for formatting,
formulas, SEC filings.
merger-model — accretion/dilution analysis for M&A.
All seven are optional (not active by default). Users install via
'hermes skills install official/finance/<skill>'.
Hermesification:
- Stripped every Office JS / Office Add-in / mcp__office__*
branch — skills assume headless openpyxl only.
- Replaced Cowork MCP data-source instructions with 'MCP first (via
native-mcp), fall back to web_search/web_extract against SEC EDGAR
and user-provided data'.
- Swapped Claude tool references (Bash, Read, Write, Edit, mcp__*)
for Hermes-native equivalents and Python library calls.
- Canonical Hermes frontmatter (name/description/version/author/
license/metadata.hermes.{tags,related_skills}).
- Descriptions tightened to 187-238 chars, trigger-first.
- Attribution preserved: author field credits 'Anthropic (adapted by
Nous Research)', license: Apache-2.0, each SKILL.md links back to
the upstream source directory.
Verification:
- All 7 discovered by OptionalSkillSource with source_id='official'
- Bundle fetch includes support files (scripts, references, troubleshooting)
- related_skills cross-refs all resolve within the bundle
- No Claude product / Cowork / Office JS / /mnt/skills leakage
remains in body text (bounded mentions only in attribution blocks)
Source: https://github.com/anthropics/financial-services (Apache-2.0)
