Borrowing it
Nothing to install: this file belongs to jfrog/agent-belt. 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/jfrog/agent-belt/main/AGENTS.mdgit clone --depth 1 https://github.com/jfrog/agent-beltWrote 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/jfrog/agent-belt/agents-md)<a href="https://agentmods.dev/instructions/jfrog/agent-belt/agents-md"><img src="https://agentmods.dev/badge/instructions/jfrog/agent-belt/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/jfrog/agent-belt/agents-md"><img src="https://agentmods.dev/badge/instructions/jfrog/agent-belt/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 | $0.02594 | $0.02594 |
| Opus 5.5 | $0.01038 | $0.01038 |
| Sonnet 5.5 | $0.00519 | $0.00519 |
| Haiku 4.5 | $0.00259 | $0.00259 |
Grade A, and why
agent-belt 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 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-belt - Guide for AI Coding Agents
This file is the single entrypoint. Read it top-to-bottom and you have everything you need to make a non-trivial change to this repo.
1. What this is
A universal evaluation harness for headless CLI agents. It runs multi-turn scenarios against any agent that has a CLI, scores the results with a combination of rule-based checks and LLM judges, and aggregates them into reports.
The only public surface is the belt console script. Everything
under src/belt/{commands,runner,scorer,aggregator}/ is internal -
callers that aren't the CLI must go through documented agent/scorer
extension points.
2. Setup & first verification
uv sync # creates .venv, installs locked dev deps
uv run belt doctor # checks Python, agents, providers, env
make check # lint + test - same as CI
belt doctor is the fastest way to sanity-check the install: it
verifies entry points resolve, agents are reachable, judge providers are
configured, and the active clone is the one your belt command
points at (a real foot-gun if you have multiple checkouts).
3. Where to start (by task)
| Task | Open this first |
|---|---|
| Add a new agent | docs/glossary/PLUGGABILITY.md (Authoring an agent), then src/belt/agent/base.py |
| Modify an existing agent's behaviour | src/belt/agent/<agent>.py (subclass BaseAgentAdapter) |
| Add a new scorer plugin | docs/glossary/PLUGGABILITY.md (Authoring a scorer), then src/belt/scorer/base.py |
| Add a new rule-based check | src/belt/scorer/rules/scorer.py (read neighbours first) |
| Change LLM judging or prompts | src/belt/scorer/llm/scorer.py |
| Add an LLM provider | src/belt/scorer/llm/backend.py (subclass BaseJudgeBackend) |
| Change scenario JSON shape | src/belt/entities.py + docs/glossary/SCENARIOS.md (reference appendix) |
| Add a CLI flag | src/belt/commands/<cmd>.py (argparse only) |
| Add a CLI subcommand | New commands/<name>.py (thin) + new module under the right phase library |
| Change run-phase pipeline | src/belt/runner/phases/ |
| Change threshold/aggregation logic | src/belt/aggregator/ |
| Add a new exporter (CSV / JUnit / vendor plugin) | docs/glossary/PLUGGABILITY.md (Authoring an exporter), then src/belt/exporter/base.py |
Tune the export phase or chain on eval / aggregate |
src/belt/commands/export.py (registry + dispatch) |
| Author a scenario | docs/glossary/SCENARIOS.md + examples/scenarios/ |
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 · 186 lines · 2,594 tokens per session scan A 18de22e8b291
agent-belt AGENTS.md is an instructions file published in the GitHub repository jfrog/agent-belt (19 stars, last pushed 22d ago), licensed Apache-2.0. It adds 2,594 tokens to every session, about $0.0104 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
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.