agentleFS
markmhendricksonmarkmhendrickson/neotoma/.claude/skills/process_issues/SKILL.md

process_issues

Skill38 starsChanged 2 months agoMITView on GitHub

Process Issues

The file

Show its rules and text

We split this skill into the rules it gives an agent

18 rules. About 0 are common, 15 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈15

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  • could be automatic: a setting could enforce it
  1. Very specific:

    Use this skill to work the Neotoma issue queue end-to-end.

    line 11
  2. Distinctive:

    Create a local worktree for a local commit or branch reproduction.

    line 16
  3. Distinctive:

    Honor reporting mode: before any execution:

    line 24
  4. Very specific:

    If the environment is missing, conflicting, or still unreproducible, call add_issue_message with a structured request for the missing …

    line 41
  5. Distinctive:

    If the issue is a security issue, create a related GitHub security advisory before publishing other public artifacts:

    line 43
  6. Distinctive:

    If the plan touches schema, security, foundation docs, or an ambiguous architectural boundary, stop and ask instead of executing.

    line 47
  7. Distinctive:

    If execution is safe and allowed by reporting mode:

    line 48
  8. Very specific:

    Summarize comprehensively for the user: after each /process-issues run:

    line 52
  9. Distinctive:

    Call out any blocker, missing context, or user decision needed to make more forward progress.

    line 56
  10. Distinctive:

    If no user input is needed, state that clearly.

    line 69
  11. Distinctive:

    When a security advisory is created or reused, store the advisory reference on the plan or a linked entity so the workflow can resume from …

    line 76
  12. Distinctive:

    When the skill replies in chat, reference every materially cited or produced plan in the closing assistant store.

    line 77
  13. Distinctive:

    Never push to main.

    line 81
  14. Distinctive:

    Never amend a pushed commit.

    line 83
  15. Distinctive:

    Always run the redaction leak guard before creating any public artifact derived from a private issue.

    line 84
  16. Distinctive:

    Never include private issue identifiers, reporter details, or issue-body excerpts in a public PR or comment derived from a private issue.

    line 85
  17. Distinctive:

    Never disclose sensitive exploit detail, private reporter context, or advisory-only content in public issue comments or PR text before the …

    line 86
  18. Distinctive:

    Never close a substantive bug or feature issue as "test" unless queue metadata makes it clearly test-only.

    line 87

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md
<!-- Source: .cursor/skills/process-issues/SKILL.md -->

Process Issues

Use this skill to work the Neotoma issue queue end-to-end.

For each open issue, the skill should create or update one or more plan entities, then do one of three things:

  • Open a PR for a public-release reproduction.
  • Create a local worktree for a local commit or branch reproduction.
  • Post an add_issue_message asking for missing context when the reproduction environment is unclear.
  • Close any clearly test-only issues that the queue surfaces.
  • Open a related GitHub security advisory when the issue is a security issue.

Workflow

  1. Discover open issues with neotoma issues list --state open (or the current CLI equivalent when the flag shape differs).
  2. Honor reporting mode before any execution:
    • off -> generate and store plans only
    • consent -> ask before executing a per-issue plan
    • proactive -> execute safe plans autonomously
  3. Filter queue artifacts before reproduction work:
    • Exclude open PRs or PR URLs accidentally surfaced by the queue command; do not route them through the issue workflow.
    • Identify clearly test-only issues using queue context such as labels like test, test-flow, test-cleanup, or live-issues-tooling, and titles/descriptions that indicate sample/live/public test issues rather than product bugs.
    • For each test-only issue, create or update a cleanup plan entity, then honor reporting mode:
      • off -> store the cleanup plan only
      • consent -> ask before closing
      • proactive -> close the issue immediately with a brief cleanup comment
    • Report closed test issues in the final aggregate output.
  4. Spawn parallel subagents with a default concurrency cap of 4, one non-test issue per subagent.
  5. Per issue:
    • Load the issue snapshot, conversation thread, and any reporter environment fields.
    • Classify the reproduction environment as public_release, local_commit, local_branch, or unknown.
    • Classify whether the issue is a security issue based on labels, title/body, affected surface, or prior issue/advisory context.
    • If the environment is missing, conflicting, or still unreproducible, call add_issue_message with a structured request for the missing detail and mark the plan awaiting_input.
    • Otherwise, synthesize and store a plan entity linked to the source issue and relevant conversation_message rows.
    • If the issue is a security issue, create a related GitHub security advisory before publishing other public artifacts:
      • Reuse an existing related advisory when one already exists.
      • Otherwise open a new draft advisory with a minimal, redacted summary, affected versions/surfaces, reproduction notes, and mitigation status.
      • Record the advisory URL or identifier in the plan and include it in the final aggregate report.
    • If the plan touches schema, security, foundation docs, or an ambiguous architectural boundary, stop and ask instead of executing.
    • If execution is safe and allowed by reporting mode:
      • public_release -> branch from main, implement and test the change, then open a PR. Public issues may include Fixes #<github_number>; private issues must use neutral wording with no private identifiers.
      • local_commit or local_branch -> create a detached git worktree, initialize it, implement and test the change there, then report the worktree_path.
  6. Aggregate subagent outcomes and report created plans, closed test issues, advisories, worktrees, PRs, and outstanding information requests.
  7. Summarize comprehensively for the user after each /process-issues run:
    • Include the set of issues reviewed in the run.
    • For each issue, state the current status, classification, and the concrete action taken so far.
    • For security issues, state whether a related advisory was created, reused, or is still blocked.
    • Call out any blocker, missing context, or user decision needed to make more forward progress.
    • Separate "completed / no further action needed now" issues from "still active / blocked" issues.
    • End with a concise "What I need from you" section when any issue requires user input, branch guidance, reproduction detail, environment confirmation, or prioritization.

Output Requirements

  • /process-issues replies must include a comprehensive human-readable summary, not just a launch/update note.
  • The summary should cover:
    • issues processed in the current run
    • action taken for each issue
    • tests run or verification performed when applicable
    • PR URLs, advisory URLs, worktree paths, or issue-thread updates when applicable
    • blockers and the specific help or decisions needed from the user to move further
  • If no user input is needed, state that clearly.

Storage Requirements

  • Store each issue-resolution plan as a plan entity via the existing store surface.
  • Link the plan to the source issue with REFERS_TO.
  • Link the prompting or relevant conversation_message rows to the plan with REFERS_TO.
  • When a security advisory is created or reused, store the advisory reference on the plan or a linked entity so the workflow can resume from it later.
  • When the skill replies in chat, reference every materially cited or produced plan in the closing assistant store.

Constraints

  • Never push to main.
  • Never use --no-verify.
  • Never amend a pushed commit.
  • Always run the redaction leak guard before creating any public artifact derived from a private issue.
  • Never include private issue identifiers, reporter details, or issue-body excerpts in a public PR or comment derived from a private issue.
  • Never disclose sensitive exploit detail, private reporter context, or advisory-only content in public issue comments or PR text before the advisory workflow is ready.
  • Never close a substantive bug or feature issue as "test" unless queue metadata makes it clearly test-only.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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.