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 instructions/nicepkg/ai-workflow/agents-mdgit clone --depth 1 https://github.com/nicepkg/ai-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 | $0.01013 | $0.01013 |
| Opus 5 | $0.00507 | $0.00507 |
| Sonnet 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 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.
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.
- 2d 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 (282 stars, last pushed 7mo ago), licensed MIT. It adds 1,013 tokens to every session, about $0.0051 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 2026-08-30.
Other instructions, from other repositories
intelligent-terminal agent-skills.instructions.md
Guidelines for creating high-quality Agent Skills for GitHub Copilot.
minion CLAUDE.md
Instructions for femto/minion, covering 🧠 记忆存储, 系统架构记忆 and 开发流程记忆.
agent-skills AGENTS.md
AGENTS.md instructions for tech-leads-club/agent-skills, covering agents.md, workflow orchestration, 1. plan mode default, 2. subagent strategy and 3. verification before done.
minion AGENTS.md
Instructions for femto/minion, covering agent development guidelines, create codeagent with budget-related tools and note.
intelligent-terminal hooks.instructions.md
Portable guidance for authoring safe, fast, and clear hooks and reusable hook examples.
agents CLAUDE.md
Claude Code instructions for inkeep/agents, a project described as: Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.