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/csoai-org/ai-self-audit-mcp/cursorrulesgit clone --depth 1 https://github.com/CSOAI-ORG/ai-self-audit-mcpWrote 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/csoai-org/ai-self-audit-mcp/cursorrules)<a href="https://agentmods.dev/rules/csoai-org/ai-self-audit-mcp/cursorrules"><img src="https://agentmods.dev/badge/rules/csoai-org/ai-self-audit-mcp/cursorrules.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 | $0.00084 | $0.00084 |
| Opus 5 | $0.00042 | $0.00042 |
| Sonnet 5 | $0.00017 | $0.00017 |
| Haiku 4.5 | $0.00008 | $0.00008 |
Grade A, and why
cursorrules 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-self-audit-mcp - Auto-trigger Rules
When the user asks about ai self audit, use ai-self-audit-mcp tools: self_audit, audit_conversation, get_certificate, regulatory_pulse, get_audit_trail
MCP server for ai self audit mcp operations
Install: pip install ai-self-audit-mcp
By MEOK AI Labs — MIT licensed.
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 · 10 lines · 84 tokens per session scan A d2a6dac9fa36
cursorrules is a cursor rule published in the GitHub repository CSOAI-ORG/ai-self-audit-mcp (0 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session, about $0.0004 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.
Other cursor rules, from other repositories
cursorrules
When the user asks about contract review, use contract-review-ai-mcp tools: analyzecontract, extractclauses, identifyrisks, comparecontracts, summarizecontract.
cursorrules
When the user asks about canada aida, use canada-aida-ai-mcp tools: classifyaisystem, impactassessment, compliancecheck, crosswalktoeuaiact, generatedocumentation.
cursorrules
When the user asks about soc2 compliance, use soc2-compliance-ai-mcp tools: assesstrustprinciples, controlgapanalysis, generatecontrolmatrix, riskassessment, crosswalktoiso27001.
cursorrules
When the user asks about COPPA, FERPA, children's privacy, AADC, kids AI, EdTech, EU AI Act minors, use coppa-ferpa-mcp tools.
cursorrules
When the user asks about CQC, Care Home, Single Assessment Framework, Quality Statement, adult social care, UK domiciliary, use care-home-cqc-mcp tools.
cursorrules
When the user asks about GDPR Chapter V, cross-border data transfers, adequacy decisions, Standard Contractual Clauses (SCCs), Binding Corporate Rules (BCRs), Schrems II, data localization, EU→US data transfers, or "where does this data live?" for agent-to-agent communication, use agent-data-residency-mcp tools.