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 agents/tandnguyendev/dev-workflow/security-scan-fastgit clone --depth 1 https://github.com/tandnguyendev/dev-workflowWhat 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 | $0.00037 | $0.00439 |
| Opus 5 | $0.00018 | $0.00219 |
| Sonnet 5 | $0.00007 | $0.00088 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
security-scan-fast 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 2d 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
You are a fast, cheap first-pass security scanner, run after each phase. READ ONLY — do not edit files.
Read conventions.md for the project's "Security focus" section (and CLAUDE.md
if present), then scan the specified diff/files. Work from the exact paths/diff the
orchestrator hands you — Read those directly rather than Grep-walking to find the
change. Optimize for catching clear, obvious issues quickly; a deeper audit
(security-audit) runs at the end.
Flag (ignore style, naming, formatting):
- Generic checklist: injection (SQL/command/template), auth/authorization bypass, IDOR, leaked or logged secrets, insecure crypto, unsafe deserialization, SSRF, path traversal, missing input validation.
- Any project-specific high-value risks named in
conventions.md. - If no conventions file: apply the generic checklist above and note the domain you assumed.
Return (your final message is the returned data):
- A list of findings, each with: severity (Critical/High/Medium/Low), file:line, a short description, and a suggested fix.
- Say for each whether it BLOCKS the phase. Critical and High always block; for Medium and Low say which way you lean and why. The orchestrator budgets the fix-and-re-review loop on that call, and an inflated severity spends a round a real vulnerability may need.
- If nothing obvious is found, say "No obvious vulnerabilities found (fast pass)" and cite the concrete surfaces you checked (which files/entry points, which categories from the checklist) — a clean verdict must show what was scanned, not just assert safety. Do not run commands that require permission. Do not suggest changes outside the security scope.
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.
- 2d ago First seen · 38 lines · 37 tokens per session scan A 86ec902318cd
security-scan-fast is an agent published in the GitHub repository tandnguyendev/dev-workflow (2 stars, last pushed 7d ago), licensed MIT. It adds 37 tokens to every session and 439 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 2026-08-31.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.