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 skills/yunbow/ai-dev-os-plugin-claude-code/ai-dev-os-evolvenpx skills add yunbow/ai-dev-os-plugin-claude-code --skill ai-dev-os-evolvegit clone --depth 1 https://github.com/yunbow/ai-dev-os-plugin-claude-codeWrote 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/yunbow/ai-dev-os-plugin-claude-code/ai-dev-os-evolve)<a href="https://agentmods.dev/skills/yunbow/ai-dev-os-plugin-claude-code/ai-dev-os-evolve"><img src="https://agentmods.dev/badge/skills/yunbow/ai-dev-os-plugin-claude-code/ai-dev-os-evolve.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00268 |
| Opus 5 | $0.00025 | $0.00134 |
| Sonnet 5 | $0.00010 | $0.00054 |
| Haiku 4.5 | $0.00005 | $0.00027 |
Grade A, and why
ai-dev-os-evolve 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 4d 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.
What it actually says
AI Dev OS Spiral Feedback (SECI Spiral)
Execution Flow
1. Analyze Recent N Commits/PRs
- Aggregate past results from guideline-checker
- Identify frequently occurring violation patterns
- Also detect patterns where "AI performed surprisingly well"
2. Abstract Patterns
Derive principles from individual cases:
- "auth() forgotten 3 times" → Strengthen principle "Authentication should be explicit, not implicit"
- "AI writes zod schemas accurately" → Confirm L3 rule is effective
3. Propose L1-L2 Updates
- Candidates for new principles
- Candidates for rewording existing principles
- Values discovered at the philosophy level
4. Report + Present Diff
Ask "Would you like to apply the following updates?" and apply after approval.
Language
Respond in the same language as the project's CLAUDE.md file.
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.
- 4d ago First seen · 43 lines · 50 tokens per session scan A d3c76fcdd274
ai-dev-os-evolve is a skill published in the GitHub repository yunbow/ai-dev-os-plugin-claude-code (2 stars, last pushed 5mo ago), licensed MIT. It adds 50 tokens to every session and 268 once invoked, about $0.0003 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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