create-scrap-issue

create-scrap-issue is a skill for Claude Code, Codex from dyoshikawa/rulesync. It costs 63 tokens per session (420 once invoked), scanned A, original, MIT.

A workflow for saving a collection of notes, observations, or findings as one organized GitHub issue with a required maintenance label.

In plain words
What is it for?
Use it to record bugs, improvements, documentation ideas, refactoring notes, or other repository findings in an English-language issue.
Why use it?
It keeps background information and possible next steps in a searchable place for later work instead of leaving them scattered.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to record bugs, improvements, documentation ideas, refactoring notes, or other repository findings in an English-language issue.

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Install with agentmods
npx agentmods add skills/dyoshikawa/rulesync/create-scrap-issue
About the project

Rulesync is a command-line tool that generates configuration for different AI development tools from a shared set of rules. Developers use it to keep instructions, commands, MCP settings, ignore files, subagents, and skills consistent across coding agents. Catalogue skills support workflows built around Rulesync.

dyoshikawa/rulesync · 1,530 stars · on GitHub · rulesync.dyoshikawa.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add dyoshikawa/rulesync --skill create-scrap-issue
Clone the repo
git clone --depth 1 https://github.com/dyoshikawa/rulesync

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for create-scrap-issue

README.md
[![agentmods](https://agentmods.dev/badge/skills/dyoshikawa/rulesync/create-scrap-issue/github.svg)](https://agentmods.dev/skills/dyoshikawa/rulesync/create-scrap-issue)
Your own site
<a href="https://agentmods.dev/skills/dyoshikawa/rulesync/create-scrap-issue"><img src="https://agentmods.dev/badge/skills/dyoshikawa/rulesync/create-scrap-issue/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for create-scrap-issue

Your own site · 80×15
<a href="https://agentmods.dev/skills/dyoshikawa/rulesync/create-scrap-issue"><img src="https://agentmods.dev/badge/skills/dyoshikawa/rulesync/create-scrap-issue.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 420 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.00420
Opus 5.5 $0.00025 $0.00168
Sonnet 5.5 $0.00013 $0.00084
Haiku 4.5 $0.00006 $0.00042

Measured 1mo ago against content hash 579f860121a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

create-scrap-issue scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.rulesync/skills/create-scrap-issue/SKILL.md · 38 lines

What it actually says

Create a single GitHub issue that consolidates all the content provided by the user.

Requirements

  • Write the issue entirely in English.
  • Always attach the maintainer-scrap label to the issue.
  • Additionally, judge whether other labels are appropriate based on the content and attach them as needed. For example:
    • bug — if the content describes a defect or unexpected behavior
    • enhancement — if the content proposes a new feature or improvement
    • documentation — if the content relates to docs updates
    • refactor — if the content discusses code restructuring
    • Use gh label list to check available labels in the repository before attaching.
  • Structure the issue so it is easy to understand even when revisited later:
    • Background: Describe the context, motivation, and why this matters.
    • Details: Include the specific content, observations, or problems passed by the user.
    • Solution / Next Steps: Propose a solution or outline actionable next steps.
  • Use a clear, descriptive title that summarizes the scrap topic.
  • Use gh issue create to create the issue.

Workflow

  1. Review the content provided by the user.
  2. Organize and enrich it with background information and proposed solutions.
  3. Check available labels with gh label list and determine which labels to attach in addition to maintainer-scrap.
  4. Draft the issue body in the structure above.
  5. Create the issue with the appropriate labels using gh issue create --label maintainer-scrap --label <other-labels>.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 38 lines · 63 tokens per session scan A 579f860121a9

Subscribe to this mod's changes

create-scrap-issue is a skill published in the GitHub repository dyoshikawa/rulesync (1,530 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 420 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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