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/codewithmukesh/dotnet-claude-kit/security-scannpx skills add codewithmukesh/dotnet-claude-kit --skill security-scangit clone --depth 1 https://github.com/codewithmukesh/dotnet-claude-kitWhat 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 | $0.00116 | $0.01319 |
| Opus 5 | $0.00058 | $0.00660 |
| Sonnet 5 | $0.00023 | $0.00264 |
| Haiku 4.5 | $0.00012 | $0.00132 |
Grade A, and why
security-scan 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/security-scan — 6-Layer Security Pipeline
What
Runs a defense-in-depth static scan across 6 layers. A project with zero CVEs can still have hardcoded secrets, SQL injection, and missing auth — each layer catches a different vulnerability class. Findings map to the OWASP Top 10:2025 taxonomy and are rated Critical/High/Medium/Low by exploitability, impact, and exposure — a Critical SQL injection on a public endpoint outranks a Low info-disclosure on an admin page.
Detection patterns, OWASP mappings, remediation code, and the report template
live in references/scan-layers.md — read it before executing.
Honesty rule: this is static analysis, not a penetration test. It catches known patterns but misses business-logic flaws, complex authorization bypasses, and runtime-only vulnerabilities. Every report states this.
When
- Pre-release security gate — full scan, non-negotiable before production
- "Security scan", "security audit", "find secrets", "CVE check", "OWASP"
- After a dependency update (Layer 1), auth changes (Layer 4), config changes (Layer 2), or logging changes (Layer 6)
- Pre-pentest preparation — fix static issues before paying for a pentest
- Incident response and quarterly reviews
How
Step 1: Choose Layers
| Scenario | Layers |
|---|---|
| Pre-release gate / pentest prep / incident / quarterly | All 6 |
| After dependency update | 1 |
| New endpoint added | 3, 4, 5 |
| Auth system changes | 4 |
| Config file changes | 2 |
| Logging changes | 6 |
| Public API exposure | 3, 4, 5 |
| Internal-only service | 1, 2, 3 |
Step 2: Execute the Layers
Read references/scan-layers.md for the detection patterns per layer.
Delegate deep auth and secrets review to the security-auditor agent, pairing
the authentication and configuration skills.
| # | Layer | OWASP 2025 | Method |
|---|---|---|---|
| 1 | Package vulnerabilities | A03 Supply Chain | dotnet list package --vulnerable --include-transitive |
| 2 | Secrets detection | — | Pattern scan over .cs/.json/.yml/.xml/.config |
| 3 | OWASP code patterns | A05 Injection, A08 Integrity, A04 Crypto, A01 Access Control | Source scan: raw SQL, Html.Raw, BinaryFormatter, MD5/SHA1, IDOR |
| 4 | Auth configuration | A07 Authentication, A01 Access Control | get_endpoint_map — every route's auth posture in one call; flag unmarked endpoints; then JWT validation settings |
| 5 | CORS policy | A02 Misconfiguration | Wildcard origins, credentials combos, method/header breadth |
| 6 | Data protection | A04 Crypto, A09 Logging & Alerting | PII in logs, over-broad responses, plaintext sensitive storage |
What ships with it
1 file 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.
- 3d ago First seen · 122 lines · 116 tokens per session scan A 868519246707
security-scan is a skill published in the GitHub repository codewithmukesh/dotnet-claude-kit (689 stars, last pushed 26d ago), licensed MIT. It adds 116 tokens to every session and 1,319 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 2026-08-30.
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