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issue-cleanup

Reconcile the PyAuto GitHub issue trackers — audit open issues against Mind completion records and merged PRs, bucket them, close only what a human confirms.

Skill by PyAutoLabs

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/pyautolabs-issue-cleanup

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Reconcile the PyAuto GitHub issue trackers — audit open issues against Mind completion records and merged PRs, bucket them, close only what a human confirms. Use for tracker drift, stale issue backlogs, or "are any of these already done?".

Use cases: security

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/issue-cleanup

What's inside

Skill name
issue-cleanup
Description
Reconcile the PyAuto GitHub issue trackers — audit open issues against Mind completion records and merged PRs, bucket them, close only what a human confirms. Use for tracker drift, stale issue backlogs, or "are any of these already done?".
License
MIT
Instructions
25 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: "issue-cleanup" does not match folder "issue_cleanup"

Files (3)

  • SKILL.md
  • issue_cleanup.md
  • reference.md

SKILL.md (first lines)

# Issue Cleanup

Thin discovery wrapper. The canonical command body is
[`issue_cleanup.md`](issue_cleanup.md) in this directory — follow it exactly;
the long-form detail (header taxonomy, evidence rules, dashboard layout,
per-bucket execution, regression bar) is in [`reference.md`](reference.md).

The issue-tracker counterpart to `$repo-cleanup`'s git-debris sweep: audit →
bucketed dashboard → per-bucket human confirmation → execute → recap.

**Two things to know before running it:**

- **The record header *key* decides everything.** `issue:` means a PyAutoMind
  record completed that issue; `followup-issue:`, `library-followup-issue:`,
  `parent-issue:`, `upstream-issues-filed:` and `plan:` mean the record
  *spawned* it and it is legitimately open. Treat the completing keys as an
  allowlist — a loose `*issue*:` match closes live follow-ups.
- **Closing requires two independent evidence legs** (record header + merged
  PR) and always a human confirmation. The audit half is read-only and safe to
  run unattended; `$wake-up` does exactly that and reports counts only.

Do not duplicate or reinterpret the workflow here — if it changes, edit
`issue_cleanup.md`.

From PyAutoLabs/PyAutoBrain, MIT.

More from PyAutoLabs/PyAutoBrain

Signals

Stars
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Forks
0
Open issues
1
Last commit (this folder)
Oct 7, 2026 (23 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/PyAutoLabs/PyAutoBrain
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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Cite this page

issue-cleanup skill. Agent Mart. https://agentmart.dev/skills/pyautolabs-issue-cleanup (last updated 2026-10-24)