harness-init AGENTS.md

A repository-orientation guide for a Claude Code plugin that prepares software projects for AI-assisted development using documented rules, tests, checks, and automation scripts.

In plain words
What is it for?
Use it to understand the repository layout, required files, technology choices, development rules, testing boundaries, continuous-integration setup, and maintenance scripts.
Why use it?
It gives an agent a clear map of the project and the constraints it must follow, reducing confusion when working in an unfamiliar codebase.

Instructions file for CodexOpenCode

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/gizele1/harness-init/agents-md
Clone the repo
git clone --depth 1 https://github.com/Gizele1/harness-init

Made for: Codex, OpenCode.

Per session 1,100 This file is loaded in full into every session.
When invoked 1,100 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.01100 $0.01100
Opus 5 $0.00550 $0.00550
Sonnet 5 $0.00220 $0.00220
Haiku 4.5 $0.00110 $0.00110

Measured 3d ago against content hash 44012a997138, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

harness-init 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 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.

AGENTS.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

harness-init

Agent orientation map. Read this first when entering this repo.

What this is

A Claude Code plugin that scaffolds agent-ready repos using OpenAI's harness engineering methodology. It produces AGENTS.md, docs/, boundary tests, linter rules, CI pipelines, and GC scripts for target repos through 8 phases (Phase 0-7).

Stack

Layer Tech
Language Markdown + JSON
Platform Claude Code Plugin
License MIT

Directory structure

.
├── AGENTS.md                          # You are here
├── ARCHITECTURE.md                    # Layer definitions and file relationships
├── CLAUDE.md                          # Agent development instructions
├── INSTALL.md                         # Machine-readable install instructions
├── README.md                          # User-facing docs (English)
├── README_CN.md                       # User-facing docs (Chinese) — must mirror README.md
├── .claude-plugin/
│   ├── marketplace.json               # Marketplace registration (required for plugin install)
│   └── plugin.json                    # Plugin metadata (name, version, skills path)
├── docs/
│   ├── architecture/
│   │   └── LAYERS.md                  # Layer rules, dependency constraints
│   ├── golden-principles/
│   │   ├── SKILL_AUTHORING.md         # Skill file DO/DON'T patterns
│   │   ├── DOCUMENTATION.md           # Doc consistency patterns
│   │   └── REFERENCES.md              # Reference template patterns
│   └── SECURITY.md                    # Secrets, exclusion rules
├── skills/
│   └── harness-init/
│       ├── SKILL.md                   # The skill itself — 8-phase execution logic
│       └── references/                # Templates loaded on-demand by SKILL.md
│           ├── agents-md-template.md
│           ├── boundary-test-template.md
│           ├── ci-templates.md
│           ├── context-strategy.md
│           ├── exec-plan-template.md
│           ├── gc-patterns.md
│           ├── golden-principles-guide.md
│           ├── layer-templates.md
│           ├── security-template.md
│           ├── stack-routing.md
│           └── tool-routing.md
├── scripts/
│   ├── check-docs.sh                 # Doc consistency checker (CI + local)
│   └── gc/
│       └── check-consistency.sh       # GC consistency checker (CI + local)
└── .github/workflows/
    ├── ci.yml                         # Plugin validation + doc consistency
    └── gc.yml                         # Weekly entropy scan

Read the full file on GitHub · 103 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 · 103 lines · 1,100 tokens per session scan A 44012a997138

Subscribe to this mod's changes

harness-init AGENTS.md is an instructions file published in the GitHub repository Gizele1/harness-init (53 stars, last pushed 5mo ago), licensed MIT. It adds 1,100 tokens to every session, about $0.0055 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.

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