rhdh-skills AGENTS.md

rhdh-skills AGENTS.md is an instructions file for Codex, OpenCode from redhat-developer/rhdh-skills. It costs 2,162 tokens per session, scanned A, original, Apache-2.0.

A set of repository instructions for building and maintaining Agent Skills for Red Hat Developer Hub.

In plain words
What is it for?
It is for guiding code changes in the repository, including reading project context, following architecture decisions, making focused edits, and running the test suite.
Why use it?
It reduces avoidable mistakes by requiring agents to think through assumptions, keep changes small, and verify work with tests.

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/redhat-developer/rhdh-skills/agents-md
Clone the repo
git clone --depth 1 https://github.com/redhat-developer/rhdh-skills

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 rhdh-skills AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/redhat-developer/rhdh-skills/agents-md.svg)](https://agentmods.dev/instructions/redhat-developer/rhdh-skills/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/redhat-developer/rhdh-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/redhat-developer/rhdh-skills/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,162 This file is loaded in full into every session.
When invoked 2,162 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 $0.02162 $0.02162
Opus 5 $0.01081 $0.01081
Sonnet 5 $0.00432 $0.00432
Haiku 4.5 $0.00216 $0.00216

Measured 3d ago against content hash b6f1bb8ff559, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rhdh-skills 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 3d 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 · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Agent Skills for Red Hat Developer Hub engineering, operations, and repository maintenance. Skills follow the Agent Skills open standard. Read CONTEXT.md for domain language and docs/adr/ for architectural decisions.

1. Think Before Coding

Do not assume or hide confusion.

  • State assumptions explicitly.
  • Surface multiple interpretations and tradeoffs.
  • Prefer the simpler approach when it satisfies the request.
  • Stop and ask when ambiguity would materially change the result.

2. Simplicity First

Write the minimum code that solves the requested problem.

  • Add no speculative features or single-use abstractions.
  • Keep CLI implementation stdlib-only except for the documented PEP 723 YAML exception in ADR-0002.
  • If a change can be substantially smaller without losing behavior, simplify it.

3. Surgical Changes

Touch only what the request requires. Preserve unrelated work and match the existing style. Remove only the imports, variables, functions, or files made obsolete by your own change.

4. Goal-Driven Execution

Translate the request into observable success criteria and verify them. Run uv run pytest before reporting repository work complete.

When any .py file changed, ship Python that already matches CI. Run ruff after editing, and again before committing, opening a pull request, or reporting work complete. Tests passing is not enough — ruff check is not ruff format --check.

uv run ruff format <changed.py> ...
uv run ruff check <changed.py> ...

CI (lint job) runs the same tools across the tree:

uv run ruff check .
uv run ruff format --check .

Format and check. Fix findings, rerun until both pass, then include those files in the same commit. Prefer ruff's quote style (single quotes when the string contains "). Do not open a pull request until both pass.

5. No Irreversible Commands Without Confirmation

Never force-push, reset HEAD, merge branches, or run destructive commands without explicit confirmation.

Read the full file on GitHub · 216 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. 3d ago First seen · 216 lines · 2,162 tokens per session scan A b6f1bb8ff559

Subscribe to this mod's changes

rhdh-skills AGENTS.md is an instructions file published in the GitHub repository redhat-developer/rhdh-skills (16 stars, last pushed today), licensed Apache-2.0. It adds 2,162 tokens to every session, about $0.0108 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.

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