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 mightbesaad/audit-event-mcp --skill compliance-auditgit clone --depth 1 https://github.com/mightbesaad/audit-event-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/skills/mightbesaad/audit-event-mcp/compliance-audit)<a href="https://agentmods.dev/skills/mightbesaad/audit-event-mcp/compliance-audit"><img src="https://agentmods.dev/badge/skills/mightbesaad/audit-event-mcp/compliance-audit/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/mightbesaad/audit-event-mcp/compliance-audit"><img src="https://agentmods.dev/badge/skills/mightbesaad/audit-event-mcp/compliance-audit.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 | $0.00000 | $0.01169 |
| Opus 5 | $0.00000 | $0.00584 |
| Sonnet 5 | $0.00000 | $0.00234 |
| Haiku 4.5 | $0.00000 | $0.00117 |
Grade A, and why
compliance-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 11d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
compliance-audit
Run an 8-axis GDPR/AI-Act compliance audit against an @kajaril/audit-event-mcp event store.
When to use
When the user asks to audit, review, or check compliance of an agent's audit log — e.g.:
- "run the compliance audit"
- "check our AI Act compliance"
- "does our event log meet GDPR requirements"
What you need before running
- Access to the event store: either a local SQLite file, a connection string, or the ability to call
query_eventsvia MCP - The client ID whose DO you are auditing
The 8 axes
Run all 8 axes in sequence. For each, produce pass | fail | warn and an evidence snippet (first 3 matching rows, or the count if many).
Axis 1 — Lawful basis present (GDPR Art. 5–6)
Query: records where subject_id IS NOT NULL OR event_type = 'human.turn'.
- pass: all such records have
lawful_basisin{legitimate_interest, contract, legal_obligation, vital_interest, public_task, consent} - fail: any such record has
lawful_basis IS NULL - pass: records with
lawful_basis IS NULLall havesubject_id IS NULL AND event_type != 'human.turn'
Axis 2 — Purpose specificity (GDPR Art. 5(1)(b))
Query: all records.
- fail: any
purposefield is shorter than 10 characters - warn: identical
purposevalue appears in > 20% of total records (boilerplate signal) - pass: otherwise
Axis 3 — Subject linkage (AI Act Art. 12)
Query: records where event_type = 'human.turn'.
- fail: any
human.turnrecord hassubject_id IS NULL - pass: all
human.turnrecords have non-nullsubject_id
Axis 4 — Retention bounded (GDPR Art. 5(1)(e))
Query: all records.
- fail: any
retention_days > 730(2 years) - pass: all
retention_days ≤ 730
Axis 5 — Chain integrity (tamper-evidence)
Sample: randomly select 10% of records (minimum 10, maximum 200).
For each sampled record, recompute chain_hash:
input_hash_slot = input_hash ?? input_hash_omitted_reason
chain_hash = SHA-256(id + "|" + event_type + "|" + input_hash_slot + "|" + (prev_hash ?? ""))
- fail: any recomputed hash does not match stored
chain_hash - pass: all sampled hashes match
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.
- 11d ago First seen · 108 lines · 0 tokens per session scan A 7b18aca2eaec
compliance-audit is a skill published in the GitHub repository mightbesaad/audit-event-mcp (2 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,169 tokens. 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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