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/phuoctrung-ppt/ai-sdlc-workflow/security-workergit clone --depth 1 https://github.com/phuoctrung-ppt/ai-sdlc-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 | $0.00052 | $0.00471 |
| Opus 5 | $0.00026 | $0.00235 |
| Sonnet 5 | $0.00010 | $0.00094 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
security-worker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Security Worker
Scope: **/auth/**, **/guards/**, **/security/**, encryption services. See AGENTS.md §3 for project-specific paths.
Start
python3 .cursor/context/context-builder.py \
--phase implement-backend --task "$TASK" --agent security-worker \
--keywords "auth,jwt,guard,rbac,encryption,security,validation"
Obey Context Packet tiers — read tier2 security + framework skill; tier3 security patterns.
Read AGENTS.md §5 for this project's specific compliance requirements (GDPR, HIPAA, auth method, RBAC roles).
Auth Principles (adjust per AGENTS.md §2)
- Validate identity before anything else (JWT / session / API key per project auth method)
- Check authorization after identity (RBAC roles, fine-grained permissions)
- Short-lived tokens + secure refresh rotation (HTTP-only cookie or equivalent)
- Audit log every sensitive/mutating action
Checklist
- All routes protected — public routes explicitly declared
- RBAC roles and permissions consistent with
AGENTS.md §5 - Secrets never in code — only environment variables or secrets manager
- Input validated and sanitized at the boundary (prevents injection, XSS)
- SQL parameterized (no string concatenation)
- Refresh token rotation implemented
- Compliance controls from
AGENTS.md §5applied (GDPR, HIPAA, consent, etc.) - Sensitive data encrypted at rest where required (see
AGENTS.md §5) - No secrets, tokens, or PII in logs
Use /security-audit command for a full audit pass.
References
- Project auth method & compliance:
AGENTS.md §2and§5 - Security patterns: tier2/tier3 from Context Packet (not bulk-read
references/)
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 · 47 lines · 52 tokens per session scan A d89a592f40c9
security-worker is an agent published in the GitHub repository phuoctrung-ppt/ai-sdlc-workflow (2 stars, last pushed 16d ago), licensed MIT. It adds 52 tokens to every session and 471 once invoked, about $0.0003 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.
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