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Agent skill

Understand Scrap Issues

by dyoshikawa in dyoshikawa/rulesync

Fetch the most recent maintainer-scrap issues (up to 3) and understand their content

MITAuto-check passedDevelopment

Install Understand Scrap Issues

skills CLI
$ npx skills add dyoshikawa/rulesync --skill understand-scrap-issues -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dyoshikawa/rulesync understand-scrap-issues --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/dyoshikawa/rulesync.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.rulesync/skills/understand-scrap-issues .claude/skills/understand-scrap-issues && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
understand-scrap-issues
GitHub stars
1.5k
Token cost
~470 tokens
SKILL.md length
244 words
Files
1
Skills in repo
40
Repo updated
First seen
Licence
MIT

At a glance

Fetch the most recent maintainer-scrap issues (up to 3) and understand their content

  • Works in 3 steps: Fetch the Latest Scrap Issues → Gather Each Issue's Content → Understand and Summarize
  • Development work in your project
  • SKILL.md covers Step 1: Fetch the Latest Scrap…, Step 2: Gather Each Issue's… and Step 3: Understand and Summarize
  • Calls gh

What it does

Understand Scrap Issues is an agent skill from dyoshikawa/rulesync. Fetch the most recent maintainer-scrap issues (up to 3) and understand their content

Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. The repository describes itself as: A Utility CLI for AI Coding Agents. The licence is MIT.

When your agent uses it

  • Development work in your project

Example prompts

  • “/understand-scrap-issues”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Fetch the Latest Scrap Issues
  2. Gather Each Issue's Content
  3. Understand and Summarize

What it can do on your machine

Read from SKILL.md and the folder at commit 2c577d0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • gh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Understand Scrap Issues loads about 470 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 244 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~470

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from dyoshikawa/rulesync at commit 2c577d0, republished under its MIT licence (© dyoshikawa). 244 words, ~470 tokens.

Download SKILL.mdSave it as .claude/skills/understand-scrap-issues/SKILL.md (or your agent's skills folder).
name
understand-scrap-issues
description
Fetch the most recent maintainer-scrap issues (up to 3) and understand their content
targets
*

Fetch the newest scrap issues (GitHub issues labeled maintainer-scrap) and understand what each one is about, so you can catch up on recently jotted-down notes before acting on them.

Step 1: Fetch the Latest Scrap Issues

List the most recent open issues that carry the maintainer-scrap label. gh issue list returns issues in creation order (newest first), so limiting to 3 yields the 3 newest:

bash
gh issue list --label maintainer-scrap --state open --limit 3 --json number,title,url,createdAt

If the result is empty, report that there are no open scrap issues and stop.

Step 2: Gather Each Issue's Content

For each scrap issue returned, read both the body and the discussion. Run these in parallel across the issues where practical:

bash
gh issue view <issue_number>
gh issue view <issue_number> --comments

If an issue references related pull requests, commits, or files that are needed to understand it, gather that context as well.

Step 3: Understand and Summarize

For each scrap issue, explain the following based on its content:

  1. Topic: A one-line summary of what the scrap note is about.
  2. Background: The context, motivation, or problem the note captures and why it matters.
  3. Details / Findings: The specific observations, problems, or content recorded in the note.
  4. Proposed Solution / Next Steps: Any solution or actionable next step mentioned. If none is recorded, state explicitly that it is still undecided.

Keep each summary concise and focused. Present the issues in the order returned (newest first), with the issue number, title, and URL as a heading for each.

Use the language of the current conversation (follow the user's language).

© dyoshikawa, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .rulesync/skills/understand-scrap-issues of dyoshikawa/rulesync.

Open the folder on GitHubat commit 2c577d0

Compare with similar skills

Understand Scrap Issues next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Understand Scrap Issues compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Understand Scrap Issues this skilldyoshikawa/rulesync1.5k—~470Automated safety check: PassMIT
Vercel Composition Patternssupabase/supabase111k58 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Understand Scrap Issues

What does Understand Scrap Issues do?

Fetch the most recent maintainer-scrap issues (up to 3) and understand their content. Understand Scrap Issues is an agent skill from dyoshikawa/rulesync.

When should I use Understand Scrap Issues?

Understand Scrap Issues fits situations like: development work in your project.

How do I install Understand Scrap Issues in Claude Code?

Run `npx skills add dyoshikawa/rulesync --skill understand-scrap-issues -a claude-code`. Or copy the skill folder (.rulesync/skills/understand-scrap-issues in dyoshikawa/rulesync) into .claude/skills/understand-scrap-issues in your project. Claude Code loads it when a task matches its description.

How do I install Understand Scrap Issues in Codex?

Run `npx skills add dyoshikawa/rulesync --skill understand-scrap-issues -a codex`. Or copy the skill folder (.rulesync/skills/understand-scrap-issues in dyoshikawa/rulesync) into .agents/skills/understand-scrap-issues in your project. Codex loads it when a task matches its description.

Can I use Understand Scrap Issues in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dyoshikawa/rulesync --skill understand-scrap-issues -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/understand-scrap-issues, .gemini/skills/understand-scrap-issues, .github/skills/understand-scrap-issues and .opencode/skills/understand-scrap-issues in your project.

What does Understand Scrap Issues need to run?

Going by SKILL.md and its folder, Understand Scrap Issues needs the command-line tools its instructions call (gh).

Does Understand Scrap Issues access the network?

SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Understand Scrap Issues safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Understand Scrap Issues use?

Understand Scrap Issues is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Understand Scrap Issues use?

About 470 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Understand Scrap Issues?

Skills that share tags, products or a category with Understand Scrap Issues: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Understand Scrap Issues?

dyoshikawa (a GitHub user) maintains it in dyoshikawa/rulesync, which has 1,508 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 9, 2026.

Source: dyoshikawa/rulesync on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.