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.
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).
