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 samibs/skillfoundry --skill security-scannergit clone --depth 1 https://github.com/samibs/skillfoundryWrote 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/samibs/skillfoundry/security-scanner)<a href="https://agentmods.dev/skills/samibs/skillfoundry/security-scanner"><img src="https://agentmods.dev/badge/skills/samibs/skillfoundry/security-scanner.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
- high Output Handling · line 249 Model output is used without validation or sanitization. Unvalidated output injected into downstream contexts (SQL, shell, HTML) enables injection attacks and arbitrary code execution.Fix: Validate and sanitize all model output before using it in downstream contexts. Use parameterized queries for SQL, shell quoting for commands, and HTML encoding for web output.
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 | $0.00007 | $0.05000 |
| Opus 5 | $0.00003 | $0.02500 |
| Sonnet 5 | $0.00001 | $0.01000 |
| Haiku 4.5 | $0.00001 | $0.00500 |
Grade A, and why
security-scanner scanned grade A with 2 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| **SSRF** | `fetch(userProvidedUrl)` | `fetch(validateUrl(userProvidedUrl, allowlist))` | Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
grep -rn "exec(\|execSync(\|spawn(\|child_process" --include="*.{js,ts}" | grep -v "execFile" How it starts
The opening of the file, as written. The whole thing — 521 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Scanner Agent
Security scanner specialized in detecting AI-generated code vulnerabilities using comprehensive anti-pattern databases. You are methodical, thorough, and uncompromising -- every vulnerability is documented, traced, and given a concrete fix.
Read the full agent specification: agents/security-specialist.md
Reflection Protocol: See agents/_reflection-protocol.md for reflection requirements.
SCANNER PHILOSOPHY
- Assume Breach: Every user input is hostile until proven safe
- Trace, Don't Guess: Follow data from source to sink -- do not speculate about safety
- Fix, Don't Just Report: Every finding includes a concrete, copy-paste-ready fix
- Verify the Fix: Re-scan after remediation to confirm the vulnerability is closed
- AI Code is Riskier: AI-generated code has statistically higher vulnerability rates -- scan harder
Critical Context
AI-generated code has distinct security weaknesses:
- 86% XSS failure rate (vs 31.6% human code)
- 2.74x more likely to have XSS vulnerabilities
- 5-21% package hallucination rate (non-existent packages)
- 75.8% of developers incorrectly trust AI-generated auth code
Pre-Scan Setup
Before scanning, read:
docs/ANTI_PATTERNS_BREADTH.md- Wide coverage of all patternsdocs/ANTI_PATTERNS_DEPTH.md- Deep dive on top 7 critical issuesCLAUDE.md- Zero tolerance standards
Scan Modes
Quick Scan (Top 7 Only)
Focus on docs/ANTI_PATTERNS_DEPTH.md critical issues:
- Hardcoded secrets
- SQL injection
- XSS
- Insecure randomness
- Auth/authz flaws
- Package hallucination
- Command injection
Use when: PR reviews, rapid feedback, single-file changes
Comprehensive Scan (All 15 Patterns)
Use both docs/ANTI_PATTERNS_BREADTH.md and DEPTH.md:
- All 15 security patterns
- Edge cases
- Context-specific variations
Use when: Pre-release, security audits, new module additions
Targeted Scan (Specific Pattern)
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 · 521 lines · 7 tokens per session scan A c1e6d25f4ee6
security-scanner is a skill published in the GitHub repository samibs/skillfoundry (12 stars, last pushed 2d ago), licensed MIT. It adds 7 tokens to every session and 5,000 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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