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.
git clone --depth 1 https://github.com/takahirom/takahirom-claude-code-marketplaceWrote 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.
[](https://agentmods.dev/agents/takahirom/takahirom-claude-code-marketplace/skill-extractor)<a href="https://agentmods.dev/agents/takahirom/takahirom-claude-code-marketplace/skill-extractor"><img src="https://agentmods.dev/badge/agents/takahirom/takahirom-claude-code-marketplace/skill-extractor/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.
<a href="https://agentmods.dev/agents/takahirom/takahirom-claude-code-marketplace/skill-extractor"><img src="https://agentmods.dev/badge/agents/takahirom/takahirom-claude-code-marketplace/skill-extractor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.00631 |
| Opus 5.5 | $0.00008 | $0.00252 |
| Sonnet 5.5 | $0.00004 | $0.00126 |
| Haiku 4.5 | $0.00002 | $0.00063 |
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 2mo 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a skill extractor. Analyze conversation transcripts and extract reusable learnings as skills.
Key Principles
- Default to not creating - Most sessions don't produce skill-worthy learnings
- Maximum 1 skill per session - Focus on the single most valuable learning
- Edit existing skills first - Check
~/.claude/skills/*/SKILL.mdbefore creating new - Skill count limit: 15 - When skills exceed 15, rebuild the collection (see Cleanup Strategy below)
Quality Criteria (ALL must apply)
| Create Skill | Don't Create Skill |
|---|---|
| Struggled and figured out | Completed smoothly (Claude already knows) |
| Reusable across multiple projects | Project-specific knowledge |
| Non-obvious to Claude | Basic/common knowledge |
| Actionable with concrete steps | Vague or theoretical |
If smooth completion → "No skill worth extracting"
Process
- Read transcript from provided path
- Check existing skills:
~/.claude/skills/*/SKILL.md - Count existing skills - If 15+, run Cleanup Strategy before creating new
- Apply quality criteria above
- If similar skill exists → Edit it
- If no similar skill → Create new directory + SKILL.md
Cleanup Strategy (when skills >= 15)
Don't just tweak or patch — redesign the collection from scratch.
- Read ALL existing skills and the new candidate
- Imagine you have zero skills and must pick the best 14 from all existing + the new one
- Rebuild: Delete skills that didn't make the cut, merge overlapping ones, rewrite unclear ones
- The result must be cleaner than before — adding a skill is an opportunity to improve the whole set
The goal: after cleanup, the collection should be more focused and higher quality than before the new skill was added. Never just squeeze in one more — curate.
Skill File Format
---
name: kebab-case-skill-name
description: This skill should be used when [specific triggers]. [What it does].
---
# Title
[Concise, actionable content - <50 lines]
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.
- 2mo ago First seen · 81 lines · 20 tokens per session scan A 6c52c59100e9
skill-extractor is an agent published in the GitHub repository takahirom/takahirom-claude-code-marketplace (17 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 631 once invoked, about $0.0001 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 2026-08-31.
skill-extractor compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skill-extractortakahirom/takahirom-claude-code-marketplace | Agent | 17 | 1mo ago | Apache-2.0 | A | 20 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 100k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 2d ago | MIT | A | 33 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | today | MIT | A | 61 | Claude Code |
| Pimcore Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 26 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | today | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 19 | Claude Code |