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 skills add ChianW/C31 --skill c31-adopt-projectgit clone --depth 1 https://github.com/ChianW/C31Wrote 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/skills/chianw/c31/c31-adopt-project)<a href="https://agentmods.dev/skills/chianw/c31/c31-adopt-project"><img src="https://agentmods.dev/badge/skills/chianw/c31/c31-adopt-project/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/skills/chianw/c31/c31-adopt-project"><img src="https://agentmods.dev/badge/skills/chianw/c31/c31-adopt-project.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 | $0.00121 | $0.03581 |
| Opus 5 | $0.00060 | $0.01791 |
| Sonnet 5 | $0.00024 | $0.00716 |
| Haiku 4.5 | $0.00012 | $0.00358 |
Grade A, and why
C31-adopt-project 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 8d 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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multilingual Triggers
| Language | Trigger phrases |
|---|---|
| EN | C31-adopt-project |
| ZH | 看看这个项目, 研究这个项目 |
| JA | プロジェクト調査, このプロジェクトを調べる |
Output language: Respond automatically in the user's conversation language.
C31-adopt-project — Five-Phase Research Integration Pipeline
Automatically analyze an external project and generate a structured report. Reports are generated automatically; execution requires user confirmation.
When to Use
- User sends a GitHub project link
- User says "adopt", "look at this", "research", "learn", "integrate this project"
- User says "what does this project do"
When NOT to Use
- Project is clearly unrelated (pure game, pure hardware)
- README < 200 words with no clear architecture or philosophy
- User says "no need to research, just do X"
Workflow
Phase 1: Discover (Fully Automatic)
Input: GitHub URL
Output: Repository summary
Steps:
kimi_fetchREADME.md → extract elevator pitch (one-sentence core concept)- Failure fallback — if fetch fails (404 / anti-scraping / private):
kimi_search"site:github.com {owner}/{repo}"- Extract description and key info from search results
- Mark
[FETCH_FALLBACK]in report
kimi_fetchdocs/architecture.md or .md files under docs/ (if present)- List directory structure (from README or search result directory tree)
- Statistics: count of skills / agents / references, stars, license
Stop-if: After extraction, still < 200 words of valid information → mark "insufficient info", emit brief summary, and stop.
Phase 2: Analyze (Fully Automatic)
Input: Phase 1 summary
Output: 6-dimension analysis
| Dimension | What to Extract | Output Format |
|---|---|---|
| Core Problem | What pain point does it solve? | One sentence |
| Design Philosophy | Core beliefs | 1–3 items |
| Key Mechanisms | Key mechanisms | List |
| Target User | Who is it for? | One sentence |
| Maturity | Maturity level | Experimental / Early / Production |
| Integration Surface | What can be borrowed? | skills? workflow? philosophy? |
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.
- 8d ago First seen · 321 lines · 121 tokens per session scan A cc78d25a8308
C31-adopt-project is a skill published in the GitHub repository ChianW/C31 (1 stars, last pushed 13d ago), licensed MIT. It adds 121 tokens to every session and 3,581 once invoked, about $0.0006 per session on Opus 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.
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