depsguard AGENTS.md

depsguard AGENTS.md is an instructions file for Codex, OpenCode from arnica/depsguard. It costs 2,669 tokens per session, scanned A, original, MIT.

Repository instructions for AI coding agents working on DepsGuard, a zero-dependency Rust command-line tool that checks package-manager settings for supply-chain security practices.

In plain words
What is it for?
Following the project workflow, writing compliant pull requests and commits, and understanding what DepsGuard scans and supports.
Why use it?
They give agents a shared project overview and safe Git rules, including when to use feature branches and how to disclose AI involvement.

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/arnica/depsguard/agents-md
Clone the repo
git clone --depth 1 https://github.com/arnica/depsguard

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 depsguard AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/arnica/depsguard/agents-md.svg)](https://agentmods.dev/instructions/arnica/depsguard/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/arnica/depsguard/agents-md"><img src="https://agentmods.dev/badge/instructions/arnica/depsguard/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,669 This file is loaded in full into every session.
When invoked 2,669 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 $0.02669 $0.02669
Opus 5 $0.01334 $0.01334
Sonnet 5 $0.00534 $0.00534
Haiku 4.5 $0.00267 $0.00267

Measured 4d ago against content hash 44d49e7cdfaf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

depsguard 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 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.

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 · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agents

Guidelines for AI agents working on this codebase.

Project overview

DepsGuard is a zero-dependency Rust CLI that scans package manager configs (npm, pnpm, bun, uv) for supply chain security best practices and offers interactive fixes. It targets Linux, macOS, and Windows.

Git workflow

  • Never push directly to main without explicit permission from the user. Always use a feature branch and open a pull request.
  • Do not force-push or run destructive git operations unless explicitly asked.

AI disclosure

All agent involvement in this repository must be disclosed:

  • Pull requests: every PR must state whether an AI agent or assistant produced any part of it (code, tests, docs, commit messages), naming the tool and model (e.g. "Claude Code — Claude Fable 5"). The PR template has a section for this; write "None" when no agent was used.
  • Commits: agent-authored or agent-assisted commits must carry a Co-Authored-By trailer naming the agent and model, e.g. Co-Authored-By: Claude Fable 5 <[email protected]>.
  • Comments and reviews: when an agent posts on a person's behalf, it must identify itself as an agent and name the model, e.g. "Authored by Claude (Fable 5) via Claude Code, on behalf of @user".

Commit messages

Use Conventional Commits (https://www.conventionalcommits.org/).

Format: <type>(<optional scope>): <description>

Types: feat, fix, refactor, test, docs, chore, ci, perf, style, build.

Examples:

  • feat(manager): add yarn berry support
  • fix(fix): preserve comments when writing .npmrc
  • test: add integration tests for bun config
  • docs: update supported managers table
  • refactor(term): simplify Windows console FFI

Rules:

  • Use lowercase for the description; no trailing period.
  • Keep the subject line under 72 characters.
  • Use the body (separated by a blank line) to explain why, not what, when the change is non-trivial.
  • Reference issue numbers in the footer when applicable (Closes #42).

Read the full file on GitHub · 218 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. 4d ago First seen · 218 lines · 2,669 tokens per session scan A 44d49e7cdfaf

Subscribe to this mod's changes

depsguard AGENTS.md is an instructions file published in the GitHub repository arnica/depsguard (381 stars, last pushed 22d ago), licensed MIT. It adds 2,669 tokens to every session, about $0.0133 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.