prompt-miner
prompt-miner is a Session review & learning skill for AI agents, published by mifunedev in the openharness repository on GitHub. Skillspace rates prompt-miner D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Rank past prompts by session outcome and mine the markers that produce the best sessions. Runs the deterministic mine-traces.mjs engine over Claude + Pi JSONL traces, scores each session by a friction + ground-truth outcome proxy, ranks the initiating prompts, then synthesizes falsifiable prompt markers STRATIFIED by session type and proposes harness memory/identity improvements behind a /retro-style propose-then-confirm gate. A cross-session, data-driven cousin of /retro. TRIGGER when: /prompt-miner invoked, or asked to "mine prompts", "rank prompts by outcome", "what prompt patterns work best", "mine session traces", "find good prompt markers", "analyze prompt quality".
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 24
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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