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 rpraharaj/forward-deployed-engineer --skill security-compliance-checkgit clone --depth 1 https://github.com/rpraharaj/forward-deployed-engineerWrote 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/rpraharaj/forward-deployed-engineer/security-compliance-check)<a href="https://agentmods.dev/skills/rpraharaj/forward-deployed-engineer/security-compliance-check"><img src="https://agentmods.dev/badge/skills/rpraharaj/forward-deployed-engineer/security-compliance-check/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/rpraharaj/forward-deployed-engineer/security-compliance-check"><img src="https://agentmods.dev/badge/skills/rpraharaj/forward-deployed-engineer/security-compliance-check.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 | $0.00117 | $0.02057 |
| Opus 5 | $0.00059 | $0.01028 |
| Sonnet 5 | $0.00023 | $0.00411 |
| Haiku 4.5 | $0.00012 | $0.00206 |
Grade A, and why
security-compliance-check 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 9d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security and compliance check
The pre-release pass on data handling.
Why this exists
Security review in a large organization has a lead time — often weeks — and it happens at the end. That produces two bad outcomes: a change blocked days before release by something that could have been designed differently, or a change that passes because the reviewer had twenty minutes and no context.
This skill is the pass you do, early and with full context, so the formal review finds nothing surprising. It doesn't replace the organization's review. It makes it fast.
There's a narrower reason too. The most common data-handling defects are not sophisticated attacks — they're a field added to a log line, a payload cached somewhere new, a token in an error message. They're introduced casually, they pass code review because they look harmless, and they're found in an audit a year later.
When this applies
- Pre-release, on anything touching personal, payment, or health data
- Anything touching money, authentication, authorization, or an audit trail
- A change adds a new data field, a new external call, or a new storage location
- Anything already inside a regulatory scope — SOX, PCI, HIPAA, GDPR
When it doesn't
- Changes that touch no data and no external surface
- Internal tooling with no sensitive data
- This is not a penetration test or a threat model, and shouldn't be presented as one
Prerequisites
.fde/03b-nfrs.md— the data classification and audit obligations.fde/06-blast-radius-*.md— where data flows.fde/06b-change-log.md— what actually changed
Know the organization's own review process and its lead time before starting. See change-control-navigation.
First action, not last: file the formal review (or /security-review plus this pack) as soon as you know the data classification. The rest of this skill is so that review finds nothing surprising. Starting it at go-live is the failure the why-section describes.
Procedure
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.
- 9d ago First seen · 168 lines · 117 tokens per session scan A 33c0593a7dd6
security-compliance-check is a skill published in the GitHub repository rpraharaj/forward-deployed-engineer (6 stars, last pushed 22d ago), licensed MIT. It adds 117 tokens to every session and 2,057 once invoked, about $0.0006 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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