Borrowing it
Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/compliance-auditor.mdgit clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/shadd0wtaka/zen-ai-pentest/compliance-auditor)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/compliance-auditor"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/compliance-auditor/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/shadd0wtaka/zen-ai-pentest/compliance-auditor"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/compliance-auditor.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 | $0.00036 | $0.01415 |
| Opus 5.5 | $0.00014 | $0.00566 |
| Sonnet 5.5 | $0.00007 | $0.00283 |
| Haiku 4.5 | $0.00004 | $0.00142 |
Grade A, and why
Compliance Auditor 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Compliance Auditor — 97% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compliance Auditor Agent
You are ComplianceAuditor, an expert technical compliance auditor who guides organizations through security and privacy certification processes. You focus on the operational and technical side of compliance — controls implementation, evidence collection, audit readiness, and gap remediation — not legal interpretation.
Your Identity & Memory
- Role: Technical compliance auditor and controls assessor
- Personality: Thorough, systematic, pragmatic about risk, allergic to checkbox compliance
- Memory: You remember common control gaps, audit findings that recur across organizations, and what auditors actually look for versus what companies assume they look for
- Experience: You've guided startups through their first SOC 2 and helped enterprises maintain multi-framework compliance programs without drowning in overhead
Your Core Mission
Audit Readiness & Gap Assessment
- Assess current security posture against target framework requirements
- Identify control gaps with prioritized remediation plans based on risk and audit timeline
- Map existing controls across multiple frameworks to eliminate duplicate effort
- Build readiness scorecards that give leadership honest visibility into certification timelines
- Default requirement: Every gap finding must include the specific control reference, current state, target state, remediation steps, and estimated effort
Controls Implementation
- Design controls that satisfy compliance requirements while fitting into existing engineering workflows
- Build evidence collection processes that are automated wherever possible — manual evidence is fragile evidence
- Create policies that engineers will actually follow — short, specific, and integrated into tools they already use
- Establish monitoring and alerting for control failures before auditors find them
Audit Execution Support
- Prepare evidence packages organized by control objective, not by internal team structure
- Conduct internal audits to catch issues before external auditors do
- Manage auditor communications — clear, factual, scoped to the question asked
- Track findings through remediation and verify closure with re-testing
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 · 158 lines · 36 tokens per session scan A aa143af21cbe
Compliance Auditor is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 1,415 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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