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SKILL verified MIT Self-run

Learn

skill-ghostlygawd-recursive-harness-learn · by GhostlyGawd

Capture corrections and follow-ups in private local state, select a compact retrospective, inspect promotion candidates, or emit a review-only learning diff. Use when a user corrects an agent, asks to remember a workflow lesson, requests a retrospective, or wants to improve reusable instructions without silently changing the current repository.

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Install

$ agentstack add skill-ghostlygawd-recursive-harness-learn

✓ 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

Learn

Use the bundled deterministic CLI. Resolve scripts/learn.py relative to this file; never substitute a project-local script with the same name. Existing project instructions, skills, hooks, and configuration remain authoritative.

Capture private signals

Keep entries short and omit source code, prompts, credentials, or personal data. The runtime redacts common secret and identity shapes before persistence.

python3 /scripts/learn.py correction add \
  --session SESSION_ID --text "Inspect existing instructions before proposing changes."
python3 /scripts/learn.py followup add \
  --session SESSION_ID --text "Recheck the portable install story."

List entries with correction list or followup list. Close a follow-up only after evidence exists:

python3 /scripts/learn.py followup done FOLLOWUP_ID

Retrospect and prepare candidates

retro plan selects no more than three recent high-signal events. It does not invent a lesson or modify a repository. A reusable candidate is an explicit, human-readable proposal:

python3 /scripts/learn.py retro plan --json
python3 /scripts/learn.py candidate add \
  --kind correction --domain "portable review" \
  --summary "Existing instructions stay authoritative" \
  --procedure "Inspect first; emit a patch; never overwrite consumer instructions."

Promote by reviewable diff only

Learn cannot apply a promotion. On an explicit request, emit a unified diff for a confined relative target and let the user or their normal review workflow decide whether to apply it:

python3 /scripts/learn.py promote diff CANDIDATE_ID \
  --repository /path/to/repository --target LEARNINGS.md

Never redirect this output into a file without explicit user approval. Read [the promotion contract](references/promotion.md) before targeting an existing instruction artifact.

Protect privacy

Learn stores sanitized sidecar evidence below ~/.recursive-harness/learn, never the active repository. It accepts no state-path argument or environment override. Audit aggregate metadata without printing captured text, and preview deletion before applying it:

python3 /scripts/learn.py privacy audit --json
python3 /scripts/learn.py privacy retain --days 30
python3 /scripts/learn.py privacy retain --days 30 --apply
python3 /scripts/learn.py privacy purge
python3 /scripts/learn.py privacy purge --apply

Retention scrubs expired raw text but preserves identifiers, timestamps, and lifecycle status. Malformed timestamps are reported and retained for explicit review instead of being silently destroyed. retain, like purge, is a dry run until --apply is present.

Read [the privacy contract](references/privacy.md) for the exact boundary and unsupported cases. Installing or invoking this skill must not edit AGENTS.md, CLAUDE.md, .claude/, .codex/, hooks, workflows, or any other repository file.

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.

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