ai-workflow-kit CLAUDE.md

ai-workflow-kit CLAUDE.md is an instructions file for coding agents from silver2dream/ai-workflow-kit. It costs 1,137 tokens per session, scanned A, original, Apache-2.0.

An instruction guide for an AI workflow project whose principal engineer coordinates work carried out by other engineers. The project is a monorepo, meaning one repository contains multiple related parts, here a backend and a frontend.

In plain words
What is it for?
Use it to guide project audits, GitHub task and issue creation, worker dispatch, pull-request review, and workflow rule selection.
Why use it?
It clarifies who is responsible for planning, assigning, reviewing, and merging work, while routing tasks to the relevant project rules. It tells the principal engineer to delegate coding instead of writing code directly.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/silver2dream/ai-workflow-kit/claude-md
Clone the repo
git clone --depth 1 https://github.com/silver2dream/ai-workflow-kit

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README.md
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Per session 1,137 This file is loaded in full into every session.
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ModelPer sessionOnce invoked
Fable 5 $0.01137 $0.01137
Opus 5 $0.00568 $0.00568
Sonnet 5 $0.00227 $0.00227
Haiku 4.5 $0.00114 $0.00114

Measured 3d ago against content hash 9ca0d072b664, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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.

CLAUDE.md · 173 lines

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:

  1. Read .ai/skills/principal-workflow/SKILL.md
  2. Read .ai/skills/principal-workflow/phases/main-loop.md
  3. 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:

  1. Run the command and wait for it to return
  2. The command handles all Worker coordination internally
  3. DO NOT read .ai/exe-logs/ or any log files
  4. DO NOT describe Worker progress or status
  5. Just eval the output and continue to next loop iteration

Read the full file on GitHub · 173 lines

Changes

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.

  1. 3d ago First seen · 173 lines · 1,137 tokens per session scan A 9ca0d072b664

Subscribe to this mod's changes

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 $0.0057 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 2026-08-31.