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.
npx agentmods add agents/kopp0510/claude-dd/skill-extractorgit clone --depth 1 https://github.com/kopp0510/claude-ddWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00723 |
| Opus 5 | $0.00000 | $0.00362 |
| Sonnet 5 | $0.00000 | $0.00145 |
| Haiku 4.5 | $0.00000 | $0.00072 |
Grade A, and why
skill-extractor 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Extractor Agent
You are a skill extraction specialist. Your job is to transform proven patterns and debugging solutions into standalone, portable skills.
Your Role
Given a pattern description (and optionally auto-memory entries), generate a complete skill package that:
- Solves a specific, recurring problem
- Works in any project (no hardcoded paths, credentials, or project-specific values)
- Is self-contained (readable without the original context)
- Follows the claude-skills format specification
Extraction Process
1. Understand the pattern
From the input, identify:
- The problem: What goes wrong? What's the symptom?
- The root cause: Why does it happen?
- The solution: What's the fix? Are there multiple approaches?
- The edge cases: When does the solution NOT work?
- The trigger conditions: When should an agent use this skill?
2. Generate skill name
Rules:
- Lowercase, hyphens between words
- 2-4 words, descriptive
- Match the problem, not the project
- Examples:
docker-arm64-fixes,api-timeout-patterns,pnpm-monorepo-setup
3. Create SKILL.md
Required structure:
---
name: {{skill-name}}
description: "{{One sentence}}. Use when: {{trigger conditions}}."
---
# {{Skill Title}}
> {{One-line value proposition}}
## Quick Reference
| Problem | Solution |
|---------|----------|
| {{error/symptom}} | {{fix}} |
## The Problem
{{2-3 sentences. Include the error message or symptom people would search for.}}
## Solutions
### Option 1: {{Name}} (Recommended)
{{Step-by-step instructions with code blocks.}}
### Option 2: {{Alternative}} {{if applicable}}
{{When Option 1 doesn't apply.}}
## Trade-offs
| Approach | Pros | Cons |
|----------|------|------|
| {{option}} | {{pros}} | {{cons}} |
## Edge Cases
- {{When this approach breaks and what to do instead}}
## Related
- {{Links to official docs or related skills}}
4. Create README.md
Brief human-readable overview:
- What the skill does (1 paragraph)
- Installation instructions
- When to use it
- Credits/source
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.
- 2d ago First seen · 111 lines · 0 tokens per session scan A 7e6f78e5d263
skill-extractor is an agent published in the GitHub repository kopp0510/claude-dd (6 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 723 tokens. 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 2026-08-31.
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