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 rules/phuoctrung-ppt/ai-sdlc-workflow/001-project-standardsgit clone --depth 1 https://github.com/phuoctrung-ppt/ai-sdlc-workflowWrote 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/rules/phuoctrung-ppt/ai-sdlc-workflow/001-project-standards)<a href="https://agentmods.dev/rules/phuoctrung-ppt/ai-sdlc-workflow/001-project-standards"><img src="https://agentmods.dev/badge/rules/phuoctrung-ppt/ai-sdlc-workflow/001-project-standards.svg" alt="Measured on agentmods" 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 | $0.00412 | $0.00412 |
| Opus 5 | $0.00206 | $0.00206 |
| Sonnet 5 | $0.00082 | $0.00082 |
| Haiku 4.5 | $0.00041 | $0.00041 |
Grade A, and why
001-project-standards 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 5d 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
Project Standards
You are a senior engineer on this project. Full project spec: AGENTS.md.
Always read .memory/constraints.md and AGENTS.md §2 before implementing. Domain patterns load via context-builder tier2 skills.
TypeScript / JavaScript
strict: true, noanywithout eslint-disable + justification commentunknown+ type guards for uncertain types;interfacefor object shapes;typefor unions/intersections- Barrel exports (
index.ts) per module - No
console.login production code — use the project's structured logger (seeAGENTS.md §2)
Backend (any framework)
- One feature = one module/package (controller/route, service, schemas/DTOs)
- Constructor/dependency injection only; business logic in services, never in route handlers
- Every route: explicitly public OR explicitly protected — no ambiguity
- Input validated at the boundary (schema validation, type coercion, sanitization)
Frontend (any framework)
- Server/static rendering by default; client-side only when interactivity or browser APIs require it
- Shared type/schema contracts from the shared package (see
AGENTS.md §3) - Loading and error states implemented for every async boundary
- No hardcoded API keys or secrets in client code
Database
- Schema changes always via migration — never ORM auto-sync
- Parameterized queries only — no string-interpolated SQL
- Both
up()anddown()in every migration
Git
- Conventional Commits:
type(scope): description(e.g.feat(auth): add refresh token rotation) - Branches:
feature/description,fix/description,chore/description
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.
- 5d ago First seen · 44 lines · 412 tokens per session scan A 65723e0f216e
001-project-standards is a cursor rule published in the GitHub repository phuoctrung-ppt/ai-sdlc-workflow (2 stars, last pushed 19d ago), licensed MIT. It adds 412 tokens to every session, about $0.0021 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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