* 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.
* 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
Mirrors the EN deep-audit fixes (PR #40952) into the zh-Hans translation so the
two locales agree. zh-Hans is the only non-English locale; 26 translated pages
carried the same stale claims.
Corrections ported (code tokens identical across locales; prose re-translated
where the surrounding text was already Chinese):
- reference: /version slash command + dual-surface list; cli --provider adds
openai-api + novita aliases; tool count 70->71 (+ removed phantom "10 RL tools"
and fixed kanban 7->9); model_catalog ttl 24->1.
- user-guide: hermes -w -q -> -w -z; language list 8->16; aux slots 8->11;
docker separate-dashboard claim; gateway-streaming per-platform note;
computer-use frontmatter.
- features: curator prune_builtins truth; codex-runtime aux keys
(context_compression->compression, vision_detect->vision); voice-mode STT/TTS
enums; removed phantom rl toolset.
- integrations: StepFun step-3-mini->step-3.5-flash; web-search backends 4->8;
nous-portal status subcommand.
- messaging: WeCom typing/streaming columns; telegram transport default
edit->auto; sms host 0.0.0.0->127.0.0.1; simplex/ntfy gateway-setup + pairing
approve; line smart-chunking; matrix MATRIX_DM_AUTO_THREAD; msgraph host note.
- developer-guide: entry-point group hermes.plugins->hermes_agent.plugins;
PLUGIN.yaml->plugin.yaml.
Net-new EN sections (mcp mTLS, api-server run-approval, kanban CLI verbs) are
untranslated in zh-Hans and fall back to English source, consistent with the
mirror's existing partial-coverage state. Verified: docusaurus build --locale
zh-Hans succeeds; no new broken anchors from these edits.
The dashboard's embedded Chat surface (/chat, /api/ws, /api/pty) was gated
behind `hermes dashboard --tui` / HERMES_DASHBOARD_TUI=1. The desktop app and
the dashboard's own Chat tab both drive the agent over the /api/ws + /api/pty
WebSockets, so a dashboard started without the flag would pass the /api/status
health check but slam the chat WebSocket shut with WS code 4403 — the app
connects, reports "ready", and chat stays dead. This was the root cause behind
multiple user reports of the desktop app failing to connect to a self-hosted
gateway/dashboard, and it bit Docker and host installs alike.
Make the embedded chat unconditional:
- web_server.py: _DASHBOARD_EMBEDDED_CHAT_ENABLED defaults to True; drop the
embedded_chat parameter and the runtime reassignment from start_server().
The WS gates still read the constant (now always true) so the seam — and its
"rejects when disabled" contract test — stays meaningful.
- main.py: remove the `--tui` argument from the dashboard subparser and the
`embedded_chat = args.tui or HERMES_DASHBOARD_TUI==1` derivation.
- web/: isDashboardEmbeddedChatEnabled() returns true unconditionally; drop the
deprecated __HERMES_DASHBOARD_TUI__ alias and the dead LEGACY_TUI_RE scrape in
the vite dev-token plugin.
- apps/desktop/electron/main.cjs: drop `--tui` from the spawned dashboardArgs
(it would now error with "unrecognized arguments: --tui") and the redundant
HERMES_DASHBOARD_TUI env injection.
- Docker: no s6 run-script change needed — the script never passed --tui; the
HERMES_DASHBOARD_TUI env var is now simply a no-op, so the image works out of
the box with no extra var.
- Docs: remove every dashboard --tui / HERMES_DASHBOARD_TUI reference across the
CLI reference, env-var reference, docker/desktop/web-dashboard guides, in-app
tips, and the zh-Hans translations. The terminal `hermes --tui` / HERMES_TUI
references are intentionally left untouched.
Tests: 270 passing across web_server, dashboard lifecycle, host-header,
auth-gate, and docker-override-scripts suites.
* remove Vercel AI Gateway provider and Vercel Sandbox terminal backend
Both Vercel-hosted integrations are removed end-to-end. Users on the AI
Gateway should switch to OpenRouter or one of the other aggregators
(Nous Portal, Kilo Code). Users on the Vercel Sandbox backend should
switch to Docker, Modal, Daytona, or SSH.
What's removed:
- `plugins/model-providers/ai-gateway/` provider plugin
- `hermes_cli/vercel_auth.py` Vercel-Sandbox auth helper
- `tools/environments/vercel_sandbox.py` terminal backend
- `ai-gateway` provider wiring across auth, doctor, setup, models,
config, status, providers, main, web_server, model_normalize, dump
- `vercel_sandbox` backend wiring across terminal_tool, file_tools,
code_execution_tool, file_operations, approval, skills_tool,
environments/local, credential_files, lazy_deps, prompt_builder,
cli, gateway/run
- `AI_GATEWAY_BASE_URL` constant, `_AI_GATEWAY_HEADERS` auxiliary-client
header set, run_agent base-URL header/reasoning special-cases
- `[vercel]` pyproject extra and `vercel`/`vercel-workers` from uv.lock
- env vars: `AI_GATEWAY_API_KEY`, `AI_GATEWAY_BASE_URL`, `VERCEL_TOKEN`,
`VERCEL_PROJECT_ID`, `VERCEL_TEAM_ID`, `VERCEL_OIDC_TOKEN`,
`TERMINAL_VERCEL_RUNTIME`
- Tests: deletes test_ai_gateway_models.py and
test_vercel_sandbox_environment.py; scrubs references across 23
surviving test files (no entire tests deleted unless they were
dedicated to AI Gateway / Sandbox)
- Docs: provider tables, env-var reference, setup guides, security
notes, tool config, terminal-backend tables — English plus zh-Hans
i18n parity
- `hermes-agent` skill: provider table entry and remote-backend list
What stays (intentional):
- `popular-web-designs/templates/vercel.md` — CSS design reference,
unrelated to Vercel-the-AI-product
- `x-vercel-id` in `stream_diag.py` headers — generic Vercel CDN
response header, useful diag signal on any Vercel-hosted endpoint
- `vercel-labs/agent-browser` URL in browser config — lightpanda
browser project, different OSS effort
- `userStories.json` historical contributor entry mentioning Vercel
Sandbox — archive, not active docs
Validation:
- 1153 tests in the 22 targeted files pass (`scripts/run_tests.sh`)
- Full repo `py_compile` clean
- Live import of every touched module + invariant check (no
`ai-gateway` in `PROVIDER_REGISTRY`, no `_AI_GATEWAY_HEADERS`, no
`vercel_sandbox` in `_REMOTE_TERMINAL_BACKENDS`)
* test: convert profile-count check from change-detector to invariant
The hardcoded "== 34" assertion broke when ai-gateway was removed.
Per AGENTS.md change-detector-test guidance, assert the relationship
(registry count >= number of plugin dirs) instead of a literal count.
Counts shift when providers are added/removed; that's expected.
'hermes login' was removed (the command now just prints a deprecation
message and exits). The bundled hermes-agent SKILL.md, in-code error
messages, the tip rotation, the proxy adapters, and the docs site
still pointed agents and users at the dead command — so models loading
the skill kept running 'hermes login --provider openai-codex' and
getting a dead-end print.
Replacements use the canonical 'hermes auth add <provider>' surface
(or bare 'hermes auth' for the interactive manager).
Files:
- skills/autonomous-ai-agents/hermes-agent/SKILL.md (+ regenerated docs page)
- hermes_cli/tips.py (tip rotation)
- agent/google_oauth.py (gemini-cli error message)
- agent/conversation_loop.py (nous re-auth troubleshooting line)
- agent/credential_sources.py (docstring)
- hermes_cli/proxy/cli.py + hermes_cli/proxy/adapters/nous_portal.py (proxy auth hints)
- tests/hermes_cli/test_proxy.py (updated assertions)
- website/docs/reference/faq.md, website/docs/user-guide/features/subscription-proxy.md
- zh-Hans i18n mirrors for the above
'hermes logout' is still a live command and is left untouched.
The 'hermes login' stub in hermes_cli/auth.py:login_command() and
the cli-commands.md 'Deprecated' rows are intentionally kept as
the discoverable deprecation surface.
Translates the full English docs corpus (335 files) into Simplified
Chinese under website/i18n/zh-Hans/. Combined with PR #31895 (cross-
locale link fix), the 简体中文 locale toggle now serves a complete
Chinese site with working cross-page navigation.
Pipeline:
- Claude Sonnet 4.6 via OpenRouter, 8-way concurrent
- Preserves frontmatter keys, code blocks, MDX/JSX, link URLs, brand
names, and technical jargon (prompt/token/hook/MCP/ACP/etc.)
- Translates only frontmatter title/description and prose
- Two largest files (configuration.md 93KB, research-paper-writing.md
107KB) retried with 64K max_tokens after initial fence-drift
- 3 manual post-fixes for MDX edge cases the model didn't escape:
< in optional-skills-catalog table, double-quotes in an alt= tag,
and a bare URL adjacent to a full-width period
Cost: ~$30 total (Sonnet 4.6 input $3/M + output $15/M).
Verified `npm run build` succeeds for both en and zh-Hans locales,
no double-prefixed /docs/zh-Hans/docs/ URLs in rendered output,
all in-page navigation resolves correctly.
Translations are machine-generated and may need human review on
specific pages — but they're an enormous improvement over the
previous state (3 zh-Hans pages out of 335).
