Borrowing it
Nothing to install: this file belongs to awaithumans/awaithumans-human-in-the-loop-ai-agents. 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/awaithumans/awaithumans-human-in-the-loop-ai-agents/main/CLAUDE.mdgit clone --depth 1 https://github.com/awaithumans/awaithumans-human-in-the-loop-ai-agentsWrote 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/awaithumans/awaithumans-human-in-the-loop-ai-agents/claude-md)<a href="https://agentmods.dev/instructions/awaithumans/awaithumans-human-in-the-loop-ai-agents/claude-md"><img src="https://agentmods.dev/badge/instructions/awaithumans/awaithumans-human-in-the-loop-ai-agents/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/awaithumans/awaithumans-human-in-the-loop-ai-agents/claude-md"><img src="https://agentmods.dev/badge/instructions/awaithumans/awaithumans-human-in-the-loop-ai-agents/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 | $0.04501 | $0.04501 |
| Opus 5 | $0.02250 | $0.02250 |
| Sonnet 5 | $0.00900 | $0.00900 |
| Haiku 4.5 | $0.00450 | $0.00450 |
Grade A, and why
awaithumans-human-in-the-loop-ai-agents 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 12d 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 — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.
awaithumans — Codebase Guide
This file is the source of truth for how code is written in this repo. It is read by human developers, AI coding agents (Claude Code, Copilot, Cursor), and CI. Follow it exactly.
What This Project Is
An open source infrastructure package that lets AI agent workflows delegate tasks to human beings — with task routing, notifications (Slack, email), a review dashboard, AI verification of completed work, and a callback system to resume the agent when the human is done.
One primitive: await_human() / awaitHuman() — the agent awaits a human
like it awaits a promise.
Architecture Overview
The project has three packages:
-
Python package (
packages/python/) — the API server, CLI, channels, verification, AND the Python SDK. Published asawaithumanson PyPI. This is the brain of the system. -
Dashboard (
packages/dashboard/) — Next.js 16 web UI. Pre-built to static files and bundled into the Python package for production. Separate dev server for development. -
TypeScript SDK (
packages/typescript-sdk/) — the npmawaithumanspackage. A thin HTTP client to the Python API server. Includes adapter subpath exports for Temporal and LangGraph.
Developer's agent code The awaithumans system
───────────────────── ──────────────────────
Python agent ┌─────────────────────────┐
┌──────────────┐ HTTP │ API Server (Python) │
│ from │ ──────────────────► │ FastAPI + SQLModel │
│ awaithumans │ │ │
│ import │ │ Owns: │
│ await_human │ │ - Task store (DB) │
└──────────────┘ │ - Slack channel │
│ - Email channel │
TypeScript agent │ - AI verification │
┌──────────────┐ HTTP │ - Webhook dispatch │
│ import { │ ──────────────────► │ - Long-poll endpoint │
│ awaitHuman │ │ - Audit trail │
│ } from │ └────────────┬────────────┘
│ "awaithumans"│ │
└──────────────┘ │ serves static files
┌────────────▼────────────┐
│ Dashboard (Next.js) │
│ Pre-built static files │
│ Task queue, audit log │
└─────────────────────────┘
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.
- 12d ago First seen · 401 lines · 4,501 tokens per session scan A 82ce88da94eb
awaithumans-human-in-the-loop-ai-agents CLAUDE.md is an instructions file published in the GitHub repository awaithumans/awaithumans-human-in-the-loop-ai-agents (22 stars, last pushed yesterday), licensed Apache-2.0. It adds 4,501 tokens to every session, about $0.0225 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
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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 oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).