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 ivegamsft/basecoat --skill api-securitygit clone --depth 1 https://github.com/ivegamsft/basecoatWrote 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/ivegamsft/basecoat/api-security)<a href="https://agentmods.dev/skills/ivegamsft/basecoat/api-security"><img src="https://agentmods.dev/badge/skills/ivegamsft/basecoat/api-security/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/ivegamsft/basecoat/api-security"><img src="https://agentmods.dev/badge/skills/ivegamsft/basecoat/api-security.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 | $0.00077 | $0.00453 |
| Opus 5.5 | $0.00031 | $0.00181 |
| Sonnet 5.5 | $0.00015 | $0.00091 |
| Haiku 4.5 | $0.00008 | $0.00045 |
Grade A, and why
api-security 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 1mo 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.
What it actually says
API Security Skill
Production patterns for securing REST and GraphQL APIs against OWASP API Security Top 10.
Reference Files
| File | Contents |
|---|---|
references/threat-model.md |
OWASP Top 10 table, JWT auth, RBAC, input validation/XSS, SQL injection prevention, GraphQL security, security logging |
references/controls.md |
Rate limiting, API key verification, CORS configuration, security headers, controls checklist |
Core Controls (Quick Reference)
| Control | Pattern |
|---|---|
| Authentication | JWT with short expiry (≤1 hr); rotate refresh tokens |
| Authorization | RBAC via require_role() on every endpoint |
| Input validation | Pydantic/Zod schema + HTML escape on user content |
| Injection prevention | Parameterized queries only — no string concatenation |
| Rate limiting | slowapi — 5/min on auth, 100/hr on search |
| CORS | Explicit allow_origins list — never ["*"] in production |
| Transport | HTTPS + security headers (HSTS, CSP, X-Frame-Options) |
Security Logging
Log all auth events (success + failure) with username, IP, and timestamp. Never log passwords or tokens.
References
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.
- 1mo ago First seen · 46 lines · 77 tokens per session scan A b71d234e4800
api-security is a skill published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 10d ago), licensed MIT. It adds 77 tokens to every session and 453 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.
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