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.
git clone --depth 1 https://github.com/yaleh/meta-ccWrote 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/agents/yaleh/meta-cc/agent-audit-executor)<a href="https://agentmods.dev/agents/yaleh/meta-cc/agent-audit-executor"><img src="https://agentmods.dev/badge/agents/yaleh/meta-cc/agent-audit-executor/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/agents/yaleh/meta-cc/agent-audit-executor"><img src="https://agentmods.dev/badge/agents/yaleh/meta-cc/agent-audit-executor.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 | $0.00035 | $0.01903 |
| Opus 5.5 | $0.00014 | $0.00761 |
| Sonnet 5.5 | $0.00007 | $0.00381 |
| Haiku 4.5 | $0.00003 | $0.00190 |
Grade A, and why
agent-audit-executor 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 1mo 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
λ(targets, criteria) → audit_result | ∀target ∈ targets:
audit :: (Targets, Criteria) → Audit_Result audit(T, C) = enumerate(T) → assess(T, C) → categorize() → prioritize() → execute() → verify() → re_audit() → efficiency()
enumerate :: Targets → Target_List enumerate(T) = { items: match T.type with | "api_tools" → grep("Name:", tools_file) | parse(), | "files" → find("*.go", directory), | "functions" → grep("^func ", files) | parse(),
return {count: |items|, items: items} }
define_criteria :: Convention → Compliance_Criteria define_criteria(conv) = { convention: conv.name, rules: conv.rules, threshold: conv.threshold ∨ 1.0,
measurement: { method: "percentage_match", formula: "correct_count / total_count" } }
assess :: (Target, Criteria) → Assessment assess(target, criteria) = { parameters: extract_parameters(target), expected_order: sort_by_tier(parameters), actual_order: get_actual_order(target),
matches: count(i | expected_order[i] = actual_order[i]), compliance: matches / |expected_order|,
violations: [ {param: p, position: i, expected: j} | ∀i, p ∈ actual_order where expected_order[j] = p ∧ i ≠ j ],
return { target: target.name, compliance: compliance, violations: violations, details: {expected: expected_order, actual: actual_order} } }
categorize :: (Assessment, Threshold) → Category categorize(A, T) = { category: match A.compliance with | x where x ≥ T → "ALREADY_COMPLIANT", | x where x ≥ T × 0.75 → "MINOR_VIOLATIONS", | x where x ≥ T × 0.50 → "MODERATE_VIOLATIONS", | _ → "MAJOR_VIOLATIONS",
return { target: A.target, compliance: A.compliance, category: category, violations: A.violations } }
categorize_results :: Assessments → Categorized_Results categorize_results(A) = { already_compliant: [a | a ∈ A ∧ a.category = "ALREADY_COMPLIANT"], minor_violations: [a | a ∈ A ∧ a.category = "MINOR_VIOLATIONS"], moderate_violations: [a | a ∈ A ∧ a.category = "MODERATE_VIOLATIONS"], major_violations: [a | a ∈ A ∧ a.category = "MAJOR_VIOLATIONS"],
efficiency_gain: |already_compliant| / |A|,
return { total: |A|, already_compliant: already_compliant, needs_change: minor_violations + moderate_violations + major_violations, efficiency_gain: efficiency_gain } }
prioritize :: Categorized_Results → Priority_Queue prioritize(R) = { scored: [ { target: t.target, priority: if t.category = "ALREADY_COMPLIANT" then 0 else (1 - t.compliance) × impact(t) × ease(t), compliance: t.compliance, category: t.category } | ∀t ∈ R.needs_change ],
sorted: sort_by(scored, priority, desc),
skip: R.already_compliant,
return {prioritized: sorted, skip: skip} }
execute :: (Priority_Queue, Criteria) → Execution_Result execute(P, C) = { results: [],
∀target ∈ P.prioritized → if target.category = "ALREADY_COMPLIANT" then verify_compliant(target) else refactor_target(target), run_tests(target), results += { target: target.name, action: "REFACTOR", changes: count(target.violations), tests: test_status(target), committed: true },
∀target ∈ P.skip → results += { target: target.name, action: "VERIFY", compliance: target.compliance, tests: test_status(target), notes: "Already compliant, no changes" },
return results }
verify_compliant :: Target → Verification verify_compliant(T) = { parameter_order: check_parameter_order(T), tier_comments: check_tier_comments(T), tests: run_tests(T),
return { target: T.name, compliance_confirmed: parameter_order ∧ tier_comments ∧ tests, tier_order_correct: parameter_order, tier_comments_present: tier_comments, tests_passed: tests } }
re_audit :: (Targets, Criteria) → Re_Audit_Summary re_audit(T, C) = { after_results: audit_all_targets(T, C),
compliant: count(r | r.compliance ≥ C.threshold), non_compliant: count(r | r.compliance < C.threshold), average: sum(r.compliance | r ∈ after_results) / |after_results|,
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.
- 1mo ago First seen · 259 lines · 35 tokens per session scan A cc4989440558
agent-audit-executor is an agent published in the GitHub repository yaleh/meta-cc (22 stars, last pushed 18d ago), licensed MIT. It adds 35 tokens to every session and 1,903 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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