cli: Instructions file for Codex

AGENTS.md

cli AGENTS.md is an instructions file for Codex, OpenCode from belt-sh/cli. It costs 476 tokens per session, scanned A, original, MIT.

Project instructions for using belt, a command-line tool that connects coding agents to apps, persistent notes, reusable workflows, and external services. They describe what belt is, when to use it, and how to format commands and output.

In plain words
What is it for?
Use them when working in a project with belt to generate media, save knowledge, find workflows, connect services, search the web, or follow the expected output conventions.
Why use it?
They give agents the project-specific rules needed to use belt consistently. This avoids guessing which command or service interface applies.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is belt-sh/cli's own configuration. It tells Codex and OpenCode how to work on cli itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything cli configures →

View source ↗ belt-sh/cli
Reuse

Borrowing it

Nothing to install: this file belongs to belt-sh/cli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/belt-sh/cli/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/belt-sh/cli

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 476 This file is loaded in full into every session.
When invoked 476 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00476 $0.00476
Opus 5.5 $0.00190 $0.00190
Sonnet 5.5 $0.00095 $0.00095
Haiku 4.5 $0.00048 $0.00048

Measured 1mo ago against content hash 438adc39fb5f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cli 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 1mo 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 · 41 lines

What it actually says

agents working with belt

this file provides context for any ai agent (claude, cursor, copilot, etc.) working in a project where belt is available.

what belt is

belt is a cli that gives agents access to:

  1. hundreds of ai apps — image generation (gpt-image, reve, pruna), video (veo, seedance), audio (tts, music), llms (claude, gemini), search (tavily, exa), 3d, and more
  2. knowledge system — persistent memory that survives across sessions. save observations, concepts, skills, references
  3. skill registry — reusable agent workflows. search, install, publish
  4. mcp connectors — connect to any mcp-compatible service through the platform

when to use belt

  • generating media: belt app search "image" → belt app run openai/gpt-image-2 --input '{"prompt": "..."}'
  • remembering something: belt know create - --name finding --type observation <<< "learned X"
  • looking for a workflow: belt skill search "deploy" or belt suggest "how to do X"
  • connecting to services: belt mcp connect slack → belt mcp run slack send_message
  • web search / research: belt app run tavily/search --input '{"query": "..."}'

output format

  • tty mode: human-readable, colored output
  • piped/--json: structured json, safe for parsing
  • always use --json when you need to process output programmatically

conventions

  • app inputs are always json (--input flag or file path)
  • knowledge types: skill, concept, observation, reference, preference
  • skill names follow namespace/name format
  • apps follow owner/app-name or owner/app-name@version format

error handling

belt exits non-zero on failure with a descriptive error message. common issues:

  • not authenticated → belt login
  • app not found → check spelling, try belt app search
  • invalid input → use belt app sample to generate valid input schema
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. 1mo ago Changed · +1 tokens per session 438adc39fb5f
  2. 2mo ago First seen · 41 lines · 475 tokens per session scan A 4760ea04b1a6

Subscribe to this mod's changes

cli AGENTS.md is an instructions file published in the GitHub repository belt-sh/cli (7 stars, last pushed 1mo ago), licensed MIT. It adds 476 tokens to every session, about $0.0019 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 2026-08-31.

Related

cli AGENTS.md compared with instructions from other repositories

cli AGENTS.md next to 6 instructions from other repositories
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deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file275k2d agoMITA4,313Codex, OpenCode