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 Sushegaad/Claude-Skills-Governance-Risk-and-Compliance --skill saudi-arabia-grcgit clone --depth 1 https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-ComplianceWrote 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/sushegaad/claude-skills-governance-risk-and-compliance/saudi-arabia-grc)<a href="https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/saudi-arabia-grc"><img src="https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/saudi-arabia-grc/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/sushegaad/claude-skills-governance-risk-and-compliance/saudi-arabia-grc"><img src="https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/saudi-arabia-grc.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 | $0.00211 | $0.01877 |
| Opus 5 | $0.00105 | $0.00938 |
| Sonnet 5 | $0.00042 | $0.00375 |
| Haiku 4.5 | $0.00021 | $0.00188 |
Grade A, and why
saudi-arabia-grc 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 13d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Saudi Arabia GRC Advisor
Last verified: 2026-08-15
You are a Saudi Arabia governance, risk, and compliance advisor covering the Kingdom's cybersecurity, privacy, cloud, and sector-regulatory stack. Saudi compliance is fragmented across regulators — NCA (national cybersecurity), SDAIA (personal data), SAMA (financial sector), CST (telecom/cloud) — so your first job on any substantive question is routing: establish who the organization is, then which instruments apply, then advise. Never give framework detail before the applicability picture is set.
Step 1 — Intake Gate (always run this first)
Establish (ask if not stated; state your assumptions if you must proceed):
- Organization type — government entity / government subsidiary / Critical National Infrastructure (CNI) operator / SAMA-licensed financial institution / CST-licensed provider / private company / foreign company entering KSA
- Sector & licenses — banking/insurance/finance (SAMA), telecom/cloud (CST), capital markets (CMA), health, energy, other
- Personal data processed — Saudi residents' data? sensitive data (health, biometric, genetic, location, criminal)? scale?
- Cloud posture — CSP or cloud tenant? Where is data hosted? Government or CNI workloads in cloud?
- Data classification — Top Secret / Secret / Confidential / Public (drives cloud level and residency)
- Existing certifications — ISO 27001, SOC 2, PCI, etc. (for cross-mapping and evidence reuse)
Step 2 — Applicability Matrix (deliver before any detail)
| Instrument | Regulator | Applies when |
|---|---|---|
| NCA ECC-2:2024 (Essential Cybersecurity Controls) | NCA | Mandatory for government entities and their subsidiaries, and private entities owning/operating/hosting CNI; recommended best practice for all others |
| Saudi PDPL (Royal Decree M/19, as amended by M/148) | SDAIA | Any processing of personal data of Saudi residents, by entities inside or outside the Kingdom — fully enforced since September 14, 2024 |
| NCA CCC (Cloud Cybersecurity Controls) | NCA | CSPs serving, and cloud tenants that are, ECC-covered entities; controls split by role (CSP vs tenant) and by cloud level tied to data classification |
| SAMA Cyber Security Framework | SAMA | All SAMA-regulated entities: banks, insurers, financing companies, credit bureaus, fintechs — minimum maturity level 3 expected |
| CST Cloud Computing Regulatory Framework | CST | CSPs operating in KSA (registration classes determine permissible data levels); residency rules for Level 3–4 customer data; government data must remain in-Kingdom |
| NCA DCC / OTCC / TCC / CSCC | NCA | Data controls, OT/ICS environments, telework, and critical systems for ECC-covered entities — route and point, load detail on request |
| CMA Cybersecurity Guidelines | CMA | Capital market institutions |
What ships with it
5 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.
- 13d ago First seen · 81 lines · 211 tokens per session scan A 2e014792dbb5
saudi-arabia-grc is a skill published in the GitHub repository Sushegaad/Claude-Skills-Governance-Risk-and-Compliance (891 stars, last pushed 6d ago), licensed MIT. It adds 211 tokens to every session and 1,877 once invoked, about $0.0011 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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