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 Masriyan/Claude-Code-CyberSecurity-Skill --skill 19-grc-compliancegit clone --depth 1 https://github.com/Masriyan/Claude-Code-CyberSecurity-SkillWrote 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/masriyan/claude-code-cybersecurity-skill/19-grc-compliance)<a href="https://agentmods.dev/skills/masriyan/claude-code-cybersecurity-skill/19-grc-compliance"><img src="https://agentmods.dev/badge/skills/masriyan/claude-code-cybersecurity-skill/19-grc-compliance/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/masriyan/claude-code-cybersecurity-skill/19-grc-compliance"><img src="https://agentmods.dev/badge/skills/masriyan/claude-code-cybersecurity-skill/19-grc-compliance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00058 | $0.02007 |
| Opus 5 | $0.00029 | $0.01004 |
| Sonnet 5 | $0.00012 | $0.00401 |
| Haiku 4.5 | $0.00006 | $0.00201 |
Grade A, and why
GRC & Compliance 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 yesterday.
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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GRC & Compliance
Purpose
Enable Claude to operate as a governance, risk, and compliance partner: quantify and prioritize risk, map controls across the major frameworks, run gap analyses, prepare audit evidence, and draft clear, tailored security policies. Claude turns scattered control requirements into a single cross-framework view so one piece of evidence can satisfy many obligations.
Advisory scope: This skill produces risk analysis, control mappings, and policy drafts to support a security/compliance program. It is decision-support, not legal advice or a certification. A qualified auditor or counsel should validate before formal attestation.
Activation Triggers
This skill activates when the user asks about:
- Risk assessment, risk register, risk scoring, or treatment plans
- NIST CSF 2.0, NIST SP 800-53, ISO/IEC 27001:2022, SOC 2, PCI DSS 4.0, HIPAA, GDPR, CIS Controls v8
- Control mapping or crosswalk between frameworks
- Gap analysis against a standard or readiness for an audit/certification
- Audit evidence collection, control narratives, or an SoA (Statement of Applicability)
- Security policy, standard, or procedure drafting
- Third-party / vendor risk assessment
- Compliance posture reporting to leadership or a board
Prerequisites
pip install pyyaml
No external tools required — this skill is primarily analytical and document-generation focused. Claude reads existing policies, configs, and evidence directly.
Core Capabilities
1. Risk Assessment & Scoring
When asked to assess risk, run a structured, repeatable method:
- Asset & context — identify assets, owners, data classification, and business impact (CIA).
- Threats & vulnerabilities — enumerate relevant threat sources (map to MITRE ATT&CK where useful) and existing weaknesses.
- Likelihood × Impact — score on a defined scale (e.g., 1–5 each) → inherent risk. Apply control effectiveness → residual risk. Support qualitative (heat map) and, where data exists, quantitative (single-loss/annualized-loss, or FAIR-style ranges) views.
- Risk treatment — choose Mitigate / Transfer / Avoid / Accept; assign owner, due date, and the controls that move residual risk to within appetite.
- Produce a risk register (see Output Standards) and a treatment plan ranked by residual risk.
What ships with it
3 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.
- yesterday Changed a13fc07567b2
- 10d ago First seen · 169 lines · 58 tokens per session scan A 0b2e6d21da88
GRC & Compliance is a skill published in the GitHub repository Masriyan/Claude-Code-CyberSecurity-Skill (408 stars, last pushed 2d ago), licensed MIT. It adds 58 tokens to every session and 2,007 once invoked, about $0.0003 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.
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