Agent Skill
Fix Failed Paperclip Run skill
fix-failed-paperclip-runpaperclipai/paperclip.agents/skills/fix-failed-paperclip-run/SKILL.md
Diagnose and fix failed, stuck, slow, or incorrectly blocked Paperclip tasks and runs. Use with a task/run URL or failure report to trace the root cause, prove a regression red then green, check second-order effects, verify the real workflow, and deliver a PR with passing checks.
always on
65 tokname + description
once used
2,447 tokSKILL.md body
bundled files
18 KB
repo stars
106kGitHub
Install the Fix Failed Paperclip Run skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/paperclipai/paperclip --skill fix-failed-paperclip-run
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/paperclipai/paperclip.git /tmp/paperclip mkdir -p ~/.claude/skills cp -R /tmp/paperclip/.agents/skills/fix-failed-paperclip-run ~/.claude/skills/fix-failed-paperclip-run
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 65 tok |
| When the agent uses it | The SKILL.md instructions | 2,447 tok |
| Only if opened | 1 bundled files (8 KB) | varies |
Until it is used, fix-failed-paperclip-run costs about 21× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 82 skills from paperclipai/paperclip would load 3,485 tokens of descriptions. Skills vs MCP study
Checks
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Fix Failed Paperclip Run
- 1. Establish the incident and the finish line
- 2. Find the first causal failure
- 3. Prove the bug before changing production code
- 4. Repair the cause and prove the safety assumptions
- 5. Verify the real workflow at the fixed revision
- 6. Deliver the PR and close the incident to the authorized endpoint
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