user-audit
Skill0 starsChanged 34 days agoNo licenceView on GitHub
Investigate why a Crush user's account is in risk_state review/banned (or why their receipts were rejected). Resolves the escalation source from users.risk_reason + risk_decisions/risk_signals (automated policy, referral hub / device farm tells, manual admin batch holds), pulls Plaid peer overlap / session geo / CRUSH earned-held-sold evidence, and judges whether it's a false positive. Use for support investigations like "why was <email> blocked / put in review / receipts rejected" or "show the overlapping bank details and peers".
- Reads credentials
In this repository6 other files it gives its agents.
- architecture-diagramSkill
- data-engineeringSkill
- interface-reviewSkill
- ontology-generationSkill
- shipyardSkill
- user-audit-shareableSkill
The file
We split this skill into the rules it gives an agent
10 rules. About 0 are common, 2 are distinctive, and 8 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
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Your trail
Files you open will collect here, so you can find them again.
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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.