Borrowing it
Nothing to install: this file belongs to AlanHuang168/AI-Project-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/AlanHuang168/AI-Project-Workflow/main/AGENTS.mdgit clone --depth 1 https://github.com/AlanHuang168/AI-Project-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/alanhuang168/ai-project-workflow/agents-md)<a href="https://agentmods.dev/instructions/alanhuang168/ai-project-workflow/agents-md"><img src="https://agentmods.dev/badge/instructions/alanhuang168/ai-project-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/alanhuang168/ai-project-workflow/agents-md"><img src="https://agentmods.dev/badge/instructions/alanhuang168/ai-project-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 | $0.00227 | $0.00227 |
| Opus 5.5 | $0.00091 | $0.00091 |
| Sonnet 5.5 | $0.00045 | $0.00045 |
| Haiku 4.5 | $0.00023 | $0.00023 |
Grade A, and why
AI-Project-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.
What it actually says
AI Project Workflow
Workflow Stages
init -> prd -> hld -> sdd -> impl -> review -> deploy -> retro
Document Priority
PRD -> Architecture -> SDD -> Test Plan -> Code
Mandatory Rules
- Read the relevant Skill before starting a stage.
- Verify that required upstream artifacts exist and are not empty.
- Write every deliverable to the actual project files.
- Do not implement business behavior that is not defined in the approved SDD.
- Stop and ask the user when requirements are ambiguous.
- Never report unexecuted tests as passed.
- Report failed commands and incomplete work honestly.
- Do not run commit, push, merge, rebase, or force push without explicit user approval.
- Do not modify files outside the current task scope.
- Update
.ai-workflow/state.jsonafter a stage is completed.
Skill Location
core/skills/<stage>/SKILL.md
Completion Report
- Current stage
- Modified files
- Generated documents
- Commands executed
- Verification results
- Incomplete work
- Risks
- Next stage
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 First seen · 38 lines · 227 tokens per session scan A 88ac252106e3
AI-Project-Workflow AGENTS.md is an instructions file published in the GitHub repository AlanHuang168/AI-Project-Workflow (29 stars, last pushed 3mo ago), licensed MIT. It adds 227 tokens to every session, about $0.0009 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 2026-08-30.
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