repository-harness is a repository protocol that makes a software codebase easier for coding agents to understand and work on safely. It is for teams using Claude Code, Codex, Cursor, and similar agents who need authoritative documents, durable plans, explicit decision boundaries, and evidence for completed work. Its catalogue entries install the protocol's skills and instructions.
Borrowing it
Nothing to install: this file belongs to hoangnb24/repository-harness. 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/hoangnb24/repository-harness/main/AGENTS.mdgit clone --depth 1 https://github.com/hoangnb24/repository-harnessWrote 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/hoangnb24/repository-harness/agents-md)<a href="https://agentmods.dev/instructions/hoangnb24/repository-harness/agents-md"><img src="https://agentmods.dev/badge/instructions/hoangnb24/repository-harness/agents-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/hoangnb24/repository-harness/agents-md"><img src="https://agentmods.dev/badge/instructions/hoangnb24/repository-harness/agents-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 | $0.00237 | $0.00237 |
| Opus 5.5 | $0.00095 | $0.00095 |
| Sonnet 5.5 | $0.00047 | $0.00047 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
repository-harness 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 23d 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.
What it actually says
Agent Instructions
Harness
Start with the requested outcome and use the repository as the system of record.
Find the relevant code, interfaces, commands, tests, and evidence through the
repository map in docs/README.md. docs/WORKFLOW.md describes repository
understanding, missing capabilities, authority, and trust.
- Respect the requested scope. Inspection does not authorize edits or operation.
- Prefer source references over duplicate summaries. Preserve product intent and rationale that code and tests do not express.
- Identify missing capabilities needed to act, observe, or verify. Report what is unavailable or unproven instead of inventing commands or claiming success.
- Before changing externally observable policy, establish repository authority. Stop at material unresolved choices; configurable defaults are not authority.
- Preserve user-owned state and use the repository's native safety and validation checks. Explain observed results and their limits.
- Only invoke a Harness skill when the user explicitly requests it.
Consumer repositories own their task workflow and planning. Harness provides context and optional tools, without a task database or orchestration lifecycle.
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.
- 23d ago Changed · -7 lines · -95 tokens per session d034c93fcce8
- 1mo ago First seen · 32 lines · 332 tokens per session scan A 745a9e87a0f3
repository-harness AGENTS.md is an instructions file published in the GitHub repository hoangnb24/repository-harness (1,256 stars, last pushed 23d ago), licensed MIT. It adds 237 tokens to every session, about $0.0009 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 2026-08-30.
Other instructions, from other repositories
agent-rulescope tests.instructions.md
Instructions for 13624725933/agent-rulescope, a project described as: See exactly which instructions your coding agent inherits. Scan AGENTS.md, CLAUDE.md, Cursor and Copilot rules.
agent-rulescope copilot-instructions.md
Copilot instructions for 13624725933/agent-rulescope, a project described as: See exactly which instructions your coding agent inherits. Scan AGENTS.md, CLAUDE.md, Cursor and Copilot rules.
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.