mcp-docs-ask AGENTS.md

A set of repository instructions stored in AGENTS.md for writing commits and release tags.

In plain words
What is it for?
Use it when creating commits, release tags, or code changes in the mcp-docs-ask repository.
Why use it?
It keeps agent-made changes consistent with the repository’s rules, including Conventional Commits, which use a standard format for commit messages.

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/alyiox/mcp-docs-ask/agents-md
Clone the repo
git clone --depth 1 https://github.com/alyiox/mcp-docs-ask

Made for: Codex, OpenCode.

Per session 1,007 This file is loaded in full into every session.
When invoked 1,007 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 84% copy Near-identical to another mod 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 $0.01007 $0.01007
Opus 5 $0.00504 $0.00504
Sonnet 5 $0.00201 $0.00201
Haiku 4.5 $0.00101 $0.00101

Measured 2d ago against content hash 9383e666dc64, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-docs-ask 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 2d 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.

Origin

This is a copy

84% identical to mcp-walmart-ads AGENTS.md — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AGENTS.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Instructions

Rules AI agents must follow when working in this repository.


Commit messages

Use Conventional Commits.

Header

  • Format: <type>(optional scope): summary
  • Use lowercase types (feat, fix, ci, chore, docs)
  • Use scopes when relevant
  • Write summaries in lowercase, imperative mood

Body

  • Leave a blank line after the header
  • Explain why, not what
  • Use imperative, present tense
  • Wrap lines at ~72 characters

The body is optional for trivial changes.


Release tags

  • Use the bare version as the tag name — no v prefix (e.g. 0.1.0a4, not `v0.1.0a4``)
  • Tags must be annotated (git tag -a) with a structured release-notes message

Commits

When generating commits via a shell:

  • Do not pass generated messages directly to git commit -m
  • Write the commit message to a file or standard input
  • Use git commit -F <file> or git commit -F -
  • Disable shell expansion when writing commit messages

This avoids issues with backticks, quotes, and other shell-expanded characters in generated commit messages.


Code style

Follow existing project conventions.

  • Match formatting, naming, and file structure already in use
  • Do not reformat unrelated code
  • Prefer small, focused changes
  • Avoid introducing new patterns without clear benefit

Language-specific rules

  • Respect .editorconfig when present
  • Do not disable lint rules without justification
  • Prefer explicit, readable code over clever abstractions
  • Ensure all changes pass ruff check ., ruff format --check ., pyright, and pytest

uv Workflow Rules

  • Use uv exclusively for dependency management instead of pip
  • Always prefix tool and script invocations with uv run so they execute inside the managed environment
  • Do not manually create, activate, or delete .venv directories
  • Use uv version <new-version> to bump the project version — do not edit pyproject.toml directly
  • After bumping, update server.json so top-level version and packages[].version match
  • Always commit pyproject.toml, uv.lock, and server.json together after a version bump

Read the full file on GitHub · 115 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. 2d ago First seen · 115 lines · 1,007 tokens per session scan A 9383e666dc64

Subscribe to this mod's changes

mcp-docs-ask AGENTS.md is an instructions file published in the GitHub repository alyiox/mcp-docs-ask (0 stars, last pushed 14d ago), licensed MIT. It adds 1,007 tokens to every session, about $0.0050 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to mcp-walmart-ads AGENTS.md, differing in 9 lines, and is treated as a copy.