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 agentmods add skills/waynesutton/markdown-site/sec-checknpx skills add waynesutton/markdown-site --skill sec-checkgit clone --depth 1 https://github.com/waynesutton/markdown-siteWhat 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 | $0.00046 | $0.00608 |
| Opus 5 | $0.00023 | $0.00304 |
| Sonnet 5 | $0.00009 | $0.00122 |
| Haiku 4.5 | $0.00005 | $0.00061 |
Grade A, and why
sec-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 3d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Review Skill
Use this skill when reviewing Convex functions, auth logic, public query shapes, admin routes, webhooks, uploads, or any AI generated code that touches user data.
When to use it
Reach for this skill when:
- a mutation writes user or admin data
- a public query returns package or user data
- an internal function should be separated from a public wrapper
- a form collects names, emails, or other contact info
- a webhook, upload, or API key flow is added
- AI generated code needs a security pass before shipping
Auth and ownership checks
- Call
ctx.auth.getUserIdentity()before authenticated writes. - Never trust client supplied user ids for ownership.
- Prefer indexed ownership checks over fetch then compare patterns.
- Use
internalQuery,internalMutation, andinternalActionfor sensitive backend work. - Keep public wrappers thin. Do auth and access checks there, then call internal functions.
- Return generic
Not foundstyle errors when you should not reveal existence.
Data exposure rules
- Public queries should return public safe shapes only.
- Strip PII like email, name, Discord handle, internal notes, AI review details, or admin metadata unless the caller is allowed to see them.
- Add explicit return validators on public functions so the response shape stays tight.
- Mutations should return minimal data, usually ids or
null, not the submitted object. - Treat everything returned by a query as visible in browser DevTools and WebSocket traffic.
Sensitive integrations
- Keep secrets in server side environment variables only.
- Validate webhook signatures before processing.
- Restrict CORS for sensitive endpoints.
- Validate upload types and file sizes server side.
- Do not send user PII into AI prompts when it is not required for the task.
- Use simple actor labels like
AIorSystem, not fake email addresses, for automated actions.
AI generated code checks
- Watch for missing
returnsvalidators. - Watch for public
queryormutationusage whereinternal*should be used. - Watch for
ctx.db.get()plus client supplied ids in ownership checks. - Watch for full objects returned from public queries or mutations.
- Watch for vague or over detailed error messages that leak internal state.
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.
- 3d ago First seen · 63 lines · 46 tokens per session scan A 7bf12260512f
sec-check is a skill published in the GitHub repository waynesutton/markdown-site (631 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 608 once invoked, about $0.0002 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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