Borrowing it
Nothing to install: this file belongs to phuoctrung-ppt/ai-sdlc-workflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/phuoctrung-ppt/ai-sdlc-workflow/master/AGENTS.mdgit 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/instructions/phuoctrung-ppt/ai-sdlc-workflow/agents-md)<a href="https://agentmods.dev/instructions/phuoctrung-ppt/ai-sdlc-workflow/agents-md"><img src="https://agentmods.dev/badge/instructions/phuoctrung-ppt/ai-sdlc-workflow/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/phuoctrung-ppt/ai-sdlc-workflow/agents-md"><img src="https://agentmods.dev/badge/instructions/phuoctrung-ppt/ai-sdlc-workflow/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.03346 | $0.03346 |
| Opus 5.5 | $0.01338 | $0.01338 |
| Sonnet 5.5 | $0.00669 | $0.00669 |
| Haiku 4.5 | $0.00335 | $0.00335 |
Grade A, and why
ai-sdlc-workflow AGENTS.md 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 1mo 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 — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — <PROJECT_NAME>
TEMPLATE — DOMAIN-NEUTRAL. This repo ships the portable Planner-Worker-Judge workflow with no target domain. Replace every
<PLACEHOLDER>and every block tagged> _EXAMPLE_with your project's real values when you port this setup. Agents: if a section below is still a<PLACEHOLDER>, treat that fact as unknown — gather it from the codebase or ask the orchestrator. Never invent stack, structure, or compliance facts from an example block.
How to use this file: This is the canonical domain-config hub for the agentic workflow. Every agent reads this file at task start. Generic workflow rules and skills live under
.cursor/(Cursor) and are mirrored for Codex under.agents/skills/+.codex/.Porting (required):
- Fill §0 Project Profile (profile + layers on/off).
- Fill §1–§3 for layers that are on.
- Cursor:
python3 .cursor/context/profile-sync.py --from-agentsthen memory-loader--sync.- Codex: no profile-sync required; honor §0 directly. Optional JSON artifacts still generated only if you run the scripts.
- Optional sections (§4, §9, §14, …): write
N/A — layer offwhen the layer is off — do not invent multi-tenant/DB/queue content.
Codex runtime (force design)
Read this section when running under OpenAI Codex CLI / IDE / app.
Surfaces
| Need | Path |
|---|---|
| Domain config (this file) | AGENTS.md |
| Skills (Codex discovery) | .agents/skills/*/SKILL.md → bodies in .cursor/skills/ |
| Multi-agent roles | .codex/config.toml + .codex/agents/*.toml |
| Setup notes | docs/codex/SETUP.md |
| Cursor-only hooks/matrix/loader | .cursor/** — optional; do not assume they run inside Codex |
Operating rules on Codex
- Layers first — §0 is law. Off layer → no plan section, no code, no skill for that layer.
- Day path — prefer skills
$wf-fixand$wf-shape-lite; full$wf-plan-featureonly for structural change. - Single source of truth for craft — when a skill activates, read the linked
.cursor/skills/.../SKILL.md(adapters are thin). - Lazy references — never bulk-read
**/references/**ordocs/reviews/**. - Subagents — do not spawn unless the user asks for parallel agents or the task is clearly multi-track; use roles from
.codex/config.toml. - Protected changes — recommend judge role +
docs/reviews/for protected paths (see.cursor/config/protected-paths.jsonwhen present). - Forbidden patterns — §12 always applies.
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.
- 1mo ago Changed · +23 lines · +217 tokens per session c5766ed061ed
- 1mo ago Changed · -15 lines · -656 tokens per session 2f5b360013d8
- 1mo ago First seen · 333 lines · 3,785 tokens per session scan A 45e6f8e32eae
ai-sdlc-workflow AGENTS.md is an instructions file published in the GitHub repository phuoctrung-ppt/ai-sdlc-workflow (2 stars, last pushed 1mo ago), licensed MIT. It adds 3,346 tokens to every session, about $0.0134 per session on Opus 5.5. 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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