# Learn

> 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.

- **Type:** Skill
- **Install:** `agentstack add skill-ghostlygawd-recursive-harness-learn`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [GhostlyGawd](https://agentstack.voostack.com/s/ghostlygawd)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [GhostlyGawd](https://github.com/GhostlyGawd)
- **Source:** https://github.com/GhostlyGawd/recursive-harness/tree/main/skills/learn

## Install

```sh
agentstack add skill-ghostlygawd-recursive-harness-learn
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## 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.

```bash
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:

```bash
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:

```bash
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:

```bash
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:

```bash
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.

- **Author:** [GhostlyGawd](https://github.com/GhostlyGawd)
- **Source:** [GhostlyGawd/recursive-harness](https://github.com/GhostlyGawd/recursive-harness)
- **License:** MIT

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

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-ghostlygawd-recursive-harness-learn
- Seller: https://agentstack.voostack.com/s/ghostlygawd
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.