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 rules/yunbow/ai-dev-os-plugin-cursor/ai-dev-os-auditgit clone --depth 1 https://github.com/yunbow/ai-dev-os-plugin-cursorWrote 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/rules/yunbow/ai-dev-os-plugin-cursor/ai-dev-os-audit)<a href="https://agentmods.dev/rules/yunbow/ai-dev-os-plugin-cursor/ai-dev-os-audit"><img src="https://agentmods.dev/badge/rules/yunbow/ai-dev-os-plugin-cursor/ai-dev-os-audit.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 | $0.00034 | $0.00434 |
| Opus 5 | $0.00017 | $0.00217 |
| Sonnet 5 | $0.00007 | $0.00087 |
| Haiku 4.5 | $0.00003 | $0.00043 |
Grade A, and why
ai-dev-os-audit 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 3d 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 4-Layer Health Audit
Audit Items
1. Dependency Rules (Clean Architecture Principle)
- Do L1 files contain tool-specific terms? ("Claude Code", "Cursor", "Next.js", etc.)
- Do L2 files contain framework-specific implementation details?
- Is the one-way dependency L1 → L2 → L3 → L4 maintained?
2. Expiration Check
- L1: Last updated more than 5 years ago?
- L2: Last updated more than 3 years ago?
- L3: Last updated more than 12 months ago?
- L4: Last updated more than 4 months ago?
- Use
git logto get the last update date for each file
3. Traceability
- Does each L3 guideline have a link to an L2 principle?
- Does each L4 AI Frame have a reference to an L3 guideline?
- Are there orphaned rules (not linked to any principle)?
4. Coverage
- Do all files referenced in .cursorrules actually exist?
- Are there guidelines for the project's major file patterns?
- Are there mapped guidelines for each directory under src/?
5. Consistency
- Are there contradictory rules across multiple guidelines?
- Are naming conventions consistent across all files?
Output Format
## AI Dev OS Health Audit Report
### Score: N/100
### Layer Health
| Layer | Files | Coverage | Freshness | Dependencies | Score |
|-------|-------|----------|-----------|-------------|-------|
### Issues Found
| Severity | Issue | Location | Action |
|----------|-------|----------|--------|
### Recommendations
1. [Priority: High] ...
2. [Priority: Medium] ...
Language
Respond in the same language as the project's .cursorrules 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.
- 3d ago First seen · 60 lines · 34 tokens per session scan A 3b357a05c05b
ai-dev-os-audit is a cursor rule published in the GitHub repository yunbow/ai-dev-os-plugin-cursor (2 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 434 once invoked, about $0.0002 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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