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Hoo Import Audit

skill-shalintripathi-organic-os-hoo-import-audit · by shalintripathi

Use to import an external claude-seo audit report or action plan as gated proposals - "import this audit", "turn this audit report into proposals", /organic-os:import-audit. They audit, we operate.

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Install

$ agentstack add skill-shalintripathi-organic-os-hoo-import-audit

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Import an external audit (claude-seo shape)

Turns a point-in-time audit report into organic-os proposals without re-deriving the audit. The import trusts but attributes: findings keep their original evidence labels ([Measured]/[Inference]/[Unverified]), the original finding text rides in each proposal verbatim, and anything our own audit dimensions would dispute is flagged for the human, never silently rewritten.

  1. Input: a file path from the user (a FULL-AUDIT-REPORT.md, an

ACTION-PLAN.md, or similar markdown) or report text pasted in chat. Pasted text: write it to a temp file first. Read site-profile.yaml for the approval channel and the site URL.

  1. Parse and rank with the import module - stdlib only, defensive by

design (the format is theirs and may vary between versions; whatever matches no item pattern is preserved in parsed["unparsed"], never dropped): PYTHONPATH="$CLAUDE_PLUGIN_ROOT/lib" python3 -c snippet importing hoo.audit_import - parsed = parse_report(text), then props = to_proposals(parsed, max_items=5).

  1. Create each proposal via `create_item(kind=p["kind"], slug=p["slug"],

title=p["title"], body=p["body"], target=, source="import-audit"). createitem is the ONLY birth path - items are born proposed with an empty approvals list and are NEVER auto-approved; approval is the human's act, on the normal gate. Each body already carries the verbatim finding (quoted), its evidence label, the attribution line, and the dimension-mapping note: overlap names the onsite-audit dimension (skills/onsite-audit steps 3-4) via the DIMENSIONHINTS map in plugin/lib/hoo/audit_import.py`; an llms.txt finding gets the deliberate-skip note (our position in plugin/docs/evidence.md); no overlap is marked external-only and imported as-is on the source audit's evidence.

  1. Present a summary table in-session:
  • imported items: title, source severity, dimension mapping

(dimension name | deliberate-skip | external-only)

  • skipped items: title + reason (ranked below the max_items cut;

re-run with a higher max_items to import them)

  • unparsed excerpt count, with a pointer that the excerpts were

preserved, not dropped

  1. Rebuild the queue and route the approval notification through the

configured channel exactly like any propose run (skills/onsite-propose step 4, including the isnotified/marknotified discipline so re-runs never re-notify).

  1. Append ONE signal recording the import: source audit date

(parsed["source_meta"]["audit_date"]), items parsed, proposals created, skipped count, unparsed excerpt count.

Pattern credit: claude-seo (https://github.com/AgriciDaniel/claude-seo), credited in README.md since v0.1.0. They audit, we operate.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.