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 timwukp/agent-skills-best-practice --skill fsi-compliance-checkergit clone --depth 1 https://github.com/timwukp/agent-skills-best-practiceWrote 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/timwukp/agent-skills-best-practice/fsi-compliance-checker)<a href="https://agentmods.dev/skills/timwukp/agent-skills-best-practice/fsi-compliance-checker"><img src="https://agentmods.dev/badge/skills/timwukp/agent-skills-best-practice/fsi-compliance-checker/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/timwukp/agent-skills-best-practice/fsi-compliance-checker"><img src="https://agentmods.dev/badge/skills/timwukp/agent-skills-best-practice/fsi-compliance-checker.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 | $0.00156 | $0.01193 |
| Opus 5 | $0.00078 | $0.00596 |
| Sonnet 5 | $0.00031 | $0.00239 |
| Haiku 4.5 | $0.00016 | $0.00119 |
Grade A, and why
fsi-compliance-checker 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FSI Compliance Checker
Map a concrete change (code diff, architecture design, IaC, pipeline config) to the specific controls it touches in financial services compliance frameworks, and report gaps with actionable remediation. This is engineering-level compliance triage — it helps teams catch violations before audit, but it does not replace a qualified assessor (QSA) or the institution's compliance function. Say so in every report.
Framework Selection
Load only the reference file(s) the engagement needs:
| Situation | Load |
|---|---|
| Payment card data is stored, processed, or transmitted (PAN, CVV, track data) | references/pci-dss.md |
| Singapore-regulated financial institution (bank, insurer, capital markets, major payment institution) | references/mas-trm.md |
| Both apply (e.g. Singapore bank handling cards) | Both files |
| Other jurisdictions/frameworks (SOX, GDPR, HKMA, APRA) | State that they are out of scope of this skill's bundled references; offer general secure-engineering review instead |
If the user hasn't said which applies, ask one question: what data does the change touch, and is the institution Singapore-regulated?
Review Process
- Scope the change. Identify what the diff/design actually touches: data elements (card data? customer PII? credentials?), trust boundaries, environments (production? DR?), and third parties.
- Select applicable controls from the loaded reference file(s) — typically 5-15 controls, not the whole framework. List what you ruled out and why (one line each) so the scoping is auditable.
- Assess each applicable control against the change:
Compliant/Gap/Needs evidence(can't tell from the artifact — name the evidence required). - Write findings using the report format below. Every Gap gets: the control ID, what's wrong in this specific change, concrete remediation, and severity (Critical = violation involving live regulated data; High = control absent; Medium = control partial/undocumented).
- Recommend story conversion: offer to turn findings into backlog items (via the security-story-writing skill if available) with the control ID in each story for traceability.
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.
- 12d ago First seen · 85 lines · 156 tokens per session scan A ad59aeca77e5
fsi-compliance-checker is a skill published in the GitHub repository timwukp/agent-skills-best-practice (10 stars, last pushed 2d ago), licensed MIT. It adds 156 tokens to every session and 1,193 once invoked, about $0.0008 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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