clampdown AGENTS.md

clampdown AGENTS.md is an instructions file for Codex, OpenCode from 89luca89/clampdown. It costs 2,072 tokens per session, scanned A, original, no licence file.

A project instruction file for clampdown that defines required rules, workflow, and code practices.

In plain words
What is it for?
Guiding agent behaviour, project navigation, development steps, and code changes in clampdown.
Why use it?
It gives coding agents a consistent way to work in the repository, including rules that must always be followed.

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/89luca89/clampdown/agents-md
Clone the repo
git clone --depth 1 https://github.com/89luca89/clampdown

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for clampdown AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/89luca89/clampdown/agents-md.svg)](https://agentmods.dev/instructions/89luca89/clampdown/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/89luca89/clampdown/agents-md"><img src="https://agentmods.dev/badge/instructions/89luca89/clampdown/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,072 This file is loaded in full into every session.
When invoked 2,072 The same file — it is already loaded in full.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.02072 $0.02072
Opus 5 $0.01036 $0.01036
Sonnet 5 $0.00414 $0.00414
Haiku 4.5 $0.00207 $0.00207

Measured 4d ago against content hash 0966a57c00a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

clampdown AGENTS.md scanned grade A with 1 finding 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 4d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Available: bash, git, go, node/npm, python3/pip, curl, wget, cmake, build-base, ripgrep, jq, shellcheck, podman, docker-cli.
AGENTS.md · 195 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 195 lines · 2,072 tokens per session scan A 0966a57c00a3

Subscribe to this mod's changes

clampdown AGENTS.md is an instructions file published in the GitHub repository 89luca89/clampdown (95 stars, last pushed 14d ago), with no licence file. It adds 2,072 tokens to every session, about $0.0104 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other instructions, from other repositories

fastapi-langgraph-agent-production-ready-template AGENTS.md

Instructions for wassim249/fastapi-langgraph-agent-production-ready-template, covering ai agent development guide, quick commands, project structure, project overview and quick reference: critical rules.

wassim249/fastapi-langgraph-agent-production-ready-template · 1,955 tokens

gpu-server-setup AGENTS.md

Instructions for EvilFreelancer/gpu-server-setup, covering authoring & maintaining the gpu-server-setup skill, repository layout, editing rules, keeping metadata in sync and what this skill does not do.

EvilFreelancer/gpu-server-setup · 1,393 tokens

beeperbox CLAUDE.md

Instructions for hamr0/beeperbox, covering claude.md, what this is, commands, unit tests (node:test — no framework) and lite mode (no docker) — same file the container runs.

hamr0/beeperbox · 1,903 tokens

deployplan AGENTS.md

AGENTS.md instructions for jsuncar/deployplan: You are operating a citizen developer’s app. They own the git repo. They do not understand vendors. They said deploy, or keep it up.

jsuncar/deployplan · 240 tokens

agent-lab-opencode AGENTS.md

AGENTS.md instructions for SkS-Other/agent-lab-opencode, covering grace framework - project engineering protocol, keywords, annotation, core principles and 1. never write code without a contract.

SkS-Other/agent-lab-opencode · 2,355 tokens

fastapi-langgraph-agent-production-ready-template CLAUDE.md

Instructions for wassim249/fastapi-langgraph-agent-production-ready-template, a project described as: A production-ready FastAPI template for building AI agent applications with LangGraph integration. This template provides a robust foundation for building scalable, secure, and maintainable AI agent services.

wassim249/fastapi-langgraph-agent-production-ready-template · 5 tokens