agentleFS
ultimatileultimatile/development-skills/skills/read-issue/SKILL.md

read-issue

Skill0 starsChanged 32 days agoMITView on GitHub

Read a GitHub issue's title, body and every comment as one CommonMark document, each in a fenced code block under its own heading.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    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
  1. Very specific:

    When the script cannot read its filter file or gh cannot read the issue, the script exits nonzero, prints the failing command's message on …

    line 27

≈ “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

Read Issue

Invocation

"${CLAUDE_SKILL_DIR}/scripts/read-issue.sh" <number> [--repo OWNER/REPO]

Output

A CommonMark document whose headings hold only fixed text, logins and timestamps. Everything written in the issue sits in a fenced code block:

  • # issue.
  • ## title, then the title in a fenced code block with the info string text.
  • ## body, then the body in a fenced code block with the info string markdown.
  • For each comment, ## comment by <login> at <timestamp>, then the comment in a fenced code block with the info string markdown.

Each fence is a run of backticks whose length is the larger of three and one more than the longest run of backticks in its content, so no line of the content closes it. The content inside a fence is printed unchanged.

Failure

When the script cannot read its filter file or gh cannot read the issue, the script exits nonzero, prints the failing command's message on stderr, and prints nothing on stdout.

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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.