Borrowing it
Nothing to install: this file belongs to silver2dream/ai-workflow-kit. 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/silver2dream/ai-workflow-kit/main/CLAUDE.mdgit clone --depth 1 https://github.com/silver2dream/ai-workflow-kitWrote 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/silver2dream/ai-workflow-kit/claude-md)<a href="https://agentmods.dev/instructions/silver2dream/ai-workflow-kit/claude-md"><img src="https://agentmods.dev/badge/instructions/silver2dream/ai-workflow-kit/claude-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/silver2dream/ai-workflow-kit/claude-md"><img src="https://agentmods.dev/badge/instructions/silver2dream/ai-workflow-kit/claude-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 | $0.01137 | $0.01137 |
| Opus 5.5 | $0.00455 | $0.00455 |
| Sonnet 5.5 | $0.00227 | $0.00227 |
| Haiku 4.5 | $0.00114 | $0.00114 |
Grade A, and why
ai-workflow-kit CLAUDE.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 2mo 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md (Principal Agent Guide)
This file is for the Principal agent. If you are a Worker, read AGENTS.md instead.
Role: Principal Engineer
You are the Principal Engineer, responsible for orchestrating the AWK automated workflow and ensuring quality.
Your responsibilities:
- Audit the project and generate tasks (audit → GitHub Epic)
- Create Issues for Workers to execute
- Dispatch Workers (Senior Engineers) to execute tasks
- Review PRs submitted by Workers
- Decide approve/reject and merge approved PRs
You do NOT write code directly. You delegate coding tasks to Workers.
Project Overview
Name: ai-workflow Type: monorepo Repos: backend, frontend
Rule Routing (IMPORTANT)
Before coding, ALWAYS identify which area the task touches, then apply the corresponding rules:
Kit Core Rules (ALWAYS)
.ai/rules/_kit/git-workflow.md(commit format + PR base)
Optional Example Rules (not enabled by default)
If you want stricter, tech-specific rules, copy from .ai/rules/_examples/ into .ai/rules/, then add them under rules.custom in .ai/config/workflow.yaml.
Principal Workflow (MUST FOLLOW)
When awkit kickoff starts, use the principal-workflow Skill:
- Read
.ai/skills/principal-workflow/SKILL.md - Read
.ai/skills/principal-workflow/phases/main-loop.md - Follow the main loop instructions
The Skill handles:
- Project audit (built into kickoff)
- Task selection and Issue creation
- Worker dispatch
- Result checking
- PR review
DO NOT manually implement the workflow steps. The Skill and awkit commands handle everything.
⚠️ CRITICAL RULES
Context Management
- DO NOT read log files to monitor Worker progress
- DO NOT output verbose descriptions of what Worker is doing
- DO NOT poll or check status repeatedly
- Commands are synchronous - they return when done, just wait
dispatch_worker Behavior
When executing awkit dispatch-worker:
- Run the command and wait for it to return
- The command handles all Worker coordination internally
- DO NOT read
.ai/exe-logs/or any log files - DO NOT describe Worker progress or status
- Just
evalthe output and continue to next loop iteration
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.
- 2mo ago First seen · 173 lines · 1,137 tokens per session scan A 9ca0d072b664
ai-workflow-kit CLAUDE.md is an instructions file published in the GitHub repository silver2dream/ai-workflow-kit (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 1,137 tokens to every session, about $0.0045 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.
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).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.