audit-next
Skill1 starsChanged 35 days agoMITView on GitHub
Find the next eligible ticket for resolution or independent verification in an existing audit workspace. Use for queue selection without changing state.
In this repository27 other files it gives its agents.
- architectSkill
- audit-discoverySkill
- audit-initSkill
- audit-resolutionSkill
- audit-statusSkill
- audit-triageSkill
- audit-verificationSkill
- code-to-prdSkill
- codex-ubuntu-serverSkill
- copilot-review-customizerSkill
- create-pluginSkill
- debugSkill
- deep-reviewSkill
- design-promptsSkill
- diagnose-sessionSkill
- feature-scatteringSkill
- human-execution-runbookSkill
- humanizerSkill
- init-repo-instructionsSkill
- inspect-pluginSkill
- install-agent-pluginsSkill
- local-wikiSkill
- recoverSkill
- review-feedbackSkill
- review-repo-instructionsSkill
- uncompromising-handoverSkill
- update-pluginSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Read the audit invocation contract.
- Very specific: line 15
Use the requested queue (resolution or verification).
≈ “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.
Files
Select the Next Audit Ticket
Read the audit invocation contract.
Resolve the installed plugin and target project separately. Use the bundled
Python CLI after setting AUDIT_PLUGIN_ROOT and AUDIT_PROJECT_DIR to the
observed paths. A separately configured audit_* MCP server is optional and
requires an explicit absolute project root. Never create project state in
the installed plugin directory.
Use the requested queue (resolution or verification); without a choice, show
both. If no audit workspace exists, report it without initialization. Run the
next CLI command; this selects work but does not execute it.
python3 "${AUDIT_PLUGIN_ROOT}/scripts/audit.py" --root "${AUDIT_PROJECT_DIR}" next --for resolution --json
python3 "${AUDIT_PLUGIN_ROOT}/scripts/audit.py" --root "${AUDIT_PROJECT_DIR}" next --for verification --jsonShow the returned ticket ID, status, severity, title and selection reason. For
resolution, surface related_tickets as optional same-file/fix-group suggestions,
not as automatic work. They have already passed FIX/dependency eligibility. State
an empty queue accurately. Do not claim a blocked ticket ready or automatically
start resolution/verification from a queue-inspection request.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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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.

