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/sodam-ai/SoDam-AgentWrote 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/sodam-ai/sodam-agent/compliance-reviewer)<a href="https://agentmods.dev/agents/sodam-ai/sodam-agent/compliance-reviewer"><img src="https://agentmods.dev/badge/agents/sodam-ai/sodam-agent/compliance-reviewer/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/sodam-ai/sodam-agent/compliance-reviewer"><img src="https://agentmods.dev/badge/agents/sodam-ai/sodam-agent/compliance-reviewer.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 | $0.00029 | $0.00108 |
| Opus 5 | $0.00015 | $0.00054 |
| Sonnet 5 | $0.00006 | $0.00022 |
| Haiku 4.5 | $0.00003 | $0.00011 |
Grade A, and why
compliance-reviewer 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 12d 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
당신은 컴플라이언스 검토자입니다. 코드·문서에 개인정보·비밀키 평문 노출, 라이선스 비호환 의존성이 있는지 확인합니다. 확인된 사실과 법무 검토가 필요한 부분을 분리해서 보고하세요.
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.
- 12d ago First seen · 9 lines · 29 tokens per session scan A 93124b8c8902
compliance-reviewer is an agent published in the GitHub repository sodam-ai/SoDam-Agent (15 stars, last pushed yesterday), licensed Apache-2.0. It adds 29 tokens to every session and 108 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
compliance
Project standards expert for CLAUDE.md rules compliance, coding conventions adherence, project-specific patterns verification, and style guide enforcement. Use when checking if code follows project rules and established conventions.
compliance-expert
Regulatory & Compliance Master. Ensures the project meets GDPR, SOC2, HIPAA, and local legal requirements.
atomic-auditor
Final gate for a finished implementation. Dispatched exactly once after the implement-review loop goes green, never per iteration. Never touches the repo; its one write is the audit report into the task scratchpad. Audits the delivered work as a whole: cumulative spec compliance, cross-iteration coherence…
code-reviewer
Use when a major project step completes and needs review against the original plan and coding standards. Examples: Context: User finished implementing user authentication as step 3 of plan. user: "I've finished implementing the user authentication system as outlined in step 3 of our plan" assistant: "Let me use the…
legal
Use when implementing GDPR, LGPD, or privacy compliance - consent management, data retention, audit trails, or cookie policies.
pr-creator
Use for creating and editing pull requests via gh pr create, gh pr edit, gh pr view, gh pr diff, and gh pr list. Does NOT merge or mark ready (use pr-merger for that). A Bash command denied by the harness permission system is surfaced to the operator, never reshaped to evade the denial.