Borrowing it
Nothing to install: this file belongs to nicepkg/ai-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/nicepkg/ai-workflow/main/AGENTS.mdgit clone --depth 1 https://github.com/nicepkg/ai-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/nicepkg/ai-workflow/agents-md)<a href="https://agentmods.dev/instructions/nicepkg/ai-workflow/agents-md"><img src="https://agentmods.dev/badge/instructions/nicepkg/ai-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/nicepkg/ai-workflow/agents-md"><img src="https://agentmods.dev/badge/instructions/nicepkg/ai-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 | $0.01013 | $0.01013 |
| Opus 5.5 | $0.00405 | $0.00405 |
| Sonnet 5.5 | $0.00203 | $0.00203 |
| Haiku 4.5 | $0.00101 | $0.00101 |
Grade A, and why
ai-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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Workflow Collection - AI Instructions
This is the master repository for curated Claude Code workflow collections.
Language Guidelines
IMPORTANT: All AGENTS.md files in this project MUST be written in English only. This ensures consistent AI behavior across different language contexts.
AGENTS.md- English only (AI instructions)README.md- English (primary)README_cn.md- Chinese translation (optional)
Project Structure
ai-workflow/
├── AGENTS.md # This file (AI context)
├── README.md # User documentation (update after creating workflows)
├── .claude/skills/ # Shared skills for this project
│ ├── workflow-creator/ # Create new workflows
│ └── skill-creator/ # Create new skills
├── workflows/
│ ├── content-creator-workflow/ # Example workflow
│ ├── marketing-pro-workflow/ # Example workflow
│ └── <new-workflow>/ # New workflows created here
Available Skills
workflow-creator
Trigger: "create workflow", "new workflow", "set up workflow", "build a xxx-workflow"
Creates complete workflow directories with:
- Multi-AI tool support (.claude, .codex, .cursor, .opencode, .agents, .kilocode, .roo, .goose, .gemini, .agent, .github, skills, .factory, .windsurf)
- Curated skills downloaded from GitHub
- README.md (user documentation)
- AGENTS.md (AI instructions)
skill-creator
Trigger: "create skill", "new skill", "build a skill"
Creates new skills following Anthropic's specification.
Workflow Creation Process
When user requests a new workflow:
- Create directory using
workflow-creator/scripts/create_workflow.py(default target:workflows/) - Select skills from
workflow-creator/references/skill-sources.md - Download skills using
workflow-creator/scripts/download_skill.py - Generate README.md for users
- Generate AGENTS.md for AI
- Update project README.md - Add new workflow to the list
Post-Creation Tasks
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 · 126 lines · 1,013 tokens per session scan A b2ffd3a7d48d
ai-workflow AGENTS.md is an instructions file published in the GitHub repository nicepkg/ai-workflow (288 stars, last pushed 9mo ago), licensed MIT. It adds 1,013 tokens to every session, about $0.0041 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.