aeon-skill-evals
Skill17 starsChanged 5 months agoMITView on GitHub
Validate the output of any installed skill against an assertion manifest — word counts, required patterns, forbidden phrases, required sections, source citation. Detects regressions by diffing vs prior runs (NEW_FAIL / NEW_PASS / CHRONIC / STABLE_FAIL). Bootstrap mode generates a starter manifest from a skill's recent successful runs so manifests aren't written speculatively. Triggers: "evaluate this skill's output", "check skill X for regressions", "bootstrap evals for Y", "did this skill output pass quality gates".
2 other projects use a version of this.
Adopted by
Most recently taken up by
- BankrBot/openclaw-skillsword for word, first seen Oct 8, 2026
- BankrBot/skillsword for word, first seen Apr 28, 2026
Other versions2 projects use a version of this.
Word for word · 2
- BankrBot/openclaw-skills★ 1.2k100% same
- BankrBot/skills★ 1.2k100% same
Edited · 0
None found.
Wrote their own version · 0
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How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository84 other files it gives its agents.
- AGENTS.mdAGENTS.md
- skills/AGENTS.mdAGENTS.md
- .cursor/rules/codegraph.mdcCursor rule
- 0xworkSkill
- aeon-autoresearchSkill
- aeon-deal-flowSkill
- aeon-deep-researchSkill
- aeon-defi-monitorSkill
- aeon-defi-overviewSkill
- aeon-distribute-tokensSkill
- aeon-hacker-news-digestSkill
- aeon-huggingface-trendingSkill
- aeon-last30Skill
- aeon-monitor-kalshiSkill
- aeon-monitor-polymarketSkill
- aeon-monitor-runnersSkill
- aeon-narrative-trackerSkill
- aeon-on-chain-monitorSkill
- aeon-paper-pickSkill
- aeon-reg-monitorSkill
- aeon-rss-digestSkill
- aeon-skill-repairSkill
- aeon-skill-security-scanSkill
- aeon-token-moversSkill
- aeon-token-pickSkill
- aeon-unlock-monitorSkill
- aeon-vuln-scannerSkill
- agenticbetsSkill
- agent-wormholeSkill
- alchemySkill
- bankr-shopifySkill
- bankrSkill
- token-scam-analysisSkill
- twitter-agentSkill
- baseSkill
- blueagent-x402Skill
- botchanSkill
- botcoin-minerSkill
- capacitrSkill
- cattownSkill
- checkrSkill
- clankerSkill
- codegridSkill
- darksol-random-oracleSkill
- endaomentSkill
- ens-primary-nameSkill
- erc-8004Skill
- gem-minerSkill
- get-api-docsSkill
- gitlawbSkill
- helixaSkill
- hydrexSkill
- litcoin-minerSkill
- megapotSkill
- moltycashSkill
- nexusSkill
- neynarSkill
- nookplotSkill
- onchainkitSkill
- opensea-apiSkill
- The first 60 shown.
The file
Files
aeon-skill-evals
Quality net for installed skills. Each skill can declare an assertion manifest; outputs are checked against it; failing assertions surface regressions and route concrete fixes.
Manifest format
token-movers:
min_words: 200
required_patterns: ["Top movers", "24h"]
forbidden_patterns: ["I cannot", "as an AI"]
must_cite_source: true
min_distinct_items: 5
narrative-tracker:
min_words: 400
required_sections: ["TRANSITIONS", "POSITIONS", "MAP"]
forbidden_patterns: ["exciting", "consider"]
must_have_position_call: trueSupported assertions: min_words / max_words, required_patterns / forbidden_patterns, required_sections, must_cite_source, min_distinct_items, output_pattern (regex), and per-skill-family custom binary checks.
Operations
eval— run every manifest-defined skill against its latest output.eval --skill=NAME— one skill.bootstrap --skill=NAME— generate a starter manifest from recent successful runs.
Regression states
| State | Action |
NEW_FAIL | Passing last run, failing now. Severity scales with pass streak. |
NEW_PASS | Failing last run, passing now. Log the win. |
CHRONIC | Failing > 3 consecutive runs. Recommend operator review. |
STABLE_FAIL | Always failing. Manifest assertion mismatch — flag for review. |
State in local evals-state.json.
Bootstrap mode
Samples last 5 successful runs of a skill. Computes:
min_wordsat p25 of historical runs.- Required patterns from common section headers.
- Forbidden patterns from default list (refusals, hedging filler).
Emits the proposed manifest for review. Never auto-commits — assertions need a human signoff.
Rules
- Assertions are observations, not specifications. Bootstrap before writing speculatively.
- Forbidden patterns catch hallucination markers and refusals. Keep the list tight; don't lint stylistic choices.
- Chronic failures get a recommendation, not a re-file.
- Manifest changes are reviewed; never auto-edited by this skill.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

