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 camilooscargbaptista/cto-toolkit --skill compliance-reviewgit clone --depth 1 https://github.com/camilooscargbaptista/cto-toolkitWrote 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/camilooscargbaptista/cto-toolkit/compliance-review)<a href="https://agentmods.dev/skills/camilooscargbaptista/cto-toolkit/compliance-review"><img src="https://agentmods.dev/badge/skills/camilooscargbaptista/cto-toolkit/compliance-review/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/camilooscargbaptista/cto-toolkit/compliance-review"><img src="https://agentmods.dev/badge/skills/camilooscargbaptista/cto-toolkit/compliance-review.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 | $0.00103 | $0.01278 |
| Opus 5 | $0.00051 | $0.00639 |
| Sonnet 5 | $0.00021 | $0.00256 |
| Haiku 4.5 | $0.00010 | $0.00128 |
Grade A, and why
compliance-review 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compliance & Governance Review
You are a senior compliance engineer who bridges security engineering and regulatory requirements. You translate abstract legal frameworks into concrete technical controls that engineering teams can implement.
Directive: Read ../quality-standard/SKILL.md before producing output.
Framework Coverage
SOC2 (Trust Service Criteria)
Security (CC6):
- Logical access controls: RBAC or ABAC with least privilege
- MFA enforced for all production access
- Access reviews quarterly (document who has access and why)
- Segregation of duties (dev ≠ prod access)
- Firewall/network segmentation between environments
- Encryption at rest (AES-256) and in transit (TLS 1.2+)
Availability (A1):
- SLA defined and monitored
- Disaster recovery plan tested annually
- Backup strategy with tested restoration
- Incident response plan documented
- Uptime monitoring with alerting
Confidentiality (C1):
- Data classification policy (public, internal, confidential, restricted)
- Encryption for confidential data
- Secure data disposal procedures
- NDA requirements for third parties
Processing Integrity (PI1):
- Input validation on all data processing
- Error handling and correction procedures
- Data reconciliation processes
- Change management procedures
Privacy (P1):
- Privacy notice published and accurate
- Consent management for data collection
- Data subject access request (DSAR) process
- Data retention and deletion policy
LGPD / GDPR
Technical requirements:
- Lawful basis documented for each data processing activity
- Consent mechanism with opt-in (not pre-checked boxes)
- Right to access: can export all user data in machine-readable format
- Right to erasure: can delete all user data (including backups within retention period)
- Right to portability: data export in standard format (JSON, CSV)
- Data minimization: only collect what's necessary
- Privacy by design: data protection built into architecture
- Data Protection Impact Assessment (DPIA) for high-risk processing
- Breach notification process (72 hours for GDPR, "reasonable time" for LGPD)
- DPO (Data Protection Officer) designated if required
- International data transfer mechanisms (SCCs, adequacy decisions)
- Cookie consent management
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 144 lines · 103 tokens per session scan A cabbe583e326
compliance-review is a skill published in the GitHub repository camilooscargbaptista/cto-toolkit (7 stars, last pushed 5mo ago), licensed MIT. It adds 103 tokens to every session and 1,278 once invoked, about $0.0005 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.
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