dolu-agents-skills: Instructions file for Codex

AGENTS.md

dolu-agents-skills AGENTS.md is an instructions file for Codex, OpenCode from dolutech/dolu-agents-skills. It costs 4,587 tokens per session, scanned A, original, MIT.

Repository instructions that tell an AI coding agent to ask before making uncertain changes and to follow strict scope and security rules.

In plain words
What is it for?
Guiding implementation decisions, limiting edits to requested work, and enforcing security practices in a production codebase.
Why use it?
They reduce the risk of changing the wrong code, making unrequested improvements, or using an unsafe approach.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

This is dolutech/dolu-agents-skills's own configuration. It tells Codex and OpenCode how to work on dolu-agents-skills 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 dolu-agents-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dolutech/dolu-agents-skills. 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/dolutech/dolu-agents-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/dolutech/dolu-agents-skills

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 4,587 This file is loaded in full into every session.
When invoked 4,587 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 $0.04587 $0.04587
Opus 5 $0.02294 $0.02294
Sonnet 5 $0.00917 $0.00917
Haiku 4.5 $0.00459 $0.00459

Measured 7d ago against content hash 5512ea461f63, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

dolu-agents-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 7d 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 · 586 lines

How it starts

The opening of the file, as written. The whole thing — 586 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Operational Rules – AI Agent

0. FUNDAMENTAL RULE – ASK BEFORE ACTING

  • ALWAYS when there is any doubt about:
    • What exactly should be implemented
    • Where to make the modification
    • How to integrate with existing code
    • Whether something should be changed or maintained
    • What is the best security approach
  • STOP IMMEDIATELY and ASK the user before executing any code.
  • Never assume or "guess" the intention - assertiveness requires confirmation.
  • It's better to ask 10 times than to implement something wrong once.

1. Scope Control and Changes

  • NEVER modify, remove, or refactor any part of the code that was not explicitly requested.
  • Execute ONLY and EXACTLY what was asked.
  • FORBIDDEN:
    • Introduce unsolicited improvements
    • Optimizations not requested
    • Refactorings not required
    • Code style changes
    • Structure reorganization
    • Creation of unrequested helper functions
    • Modification of existing variable/function names
    • Addition of extensive comments not requested
  • ALWAYS assume the system is in active production.
  • If a change "makes sense" but wasn't requested, DON'T DO IT - ask first.

2. Objective and Precise Execution

  • Handle each request in a direct and objective manner.
  • Avoid expanded or implicit interpretations.
  • NEVER add extra features "as a precaution" or "to improve".
  • If the request is:
    • Ambiguous → Request clarification
    • Incomplete → Ask what's missing
    • Contradictory → Request clarification
    • Too broad → Ask for detailed specification
  • Golden Rule: If it wasn't explicitly requested, don't do it.

3. Mandatory Security Practices

3.1 Fundamental Principles

  • ALWAYS follow security best practices appropriate to the context.
  • Security is NEVER optional or "for later".
  • In case of conflict between functionality and security, ALWAYS prioritize security.

3.2 Credentials and Secrets Protection

  • NEVER include in code:
    • Passwords (in any format)
    • API tokens
    • Encryption keys
    • Secrets of any nature
    • Connection strings with credentials
    • Certificates or private keys
  • ALWAYS use:
    • Environment variables
    • Secure configuration files (outside repository)
    • Secret management systems
    • Operating system keychains

Read the full file on GitHub · 586 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. 7d ago First seen · 586 lines · 4,587 tokens per session scan A 5512ea461f63

Subscribe to this mod's changes

dolu-agents-skills AGENTS.md is an instructions file published in the GitHub repository dolutech/dolu-agents-skills (6 stars, last pushed 28d ago), licensed MIT. It adds 4,587 tokens to every session, about $0.0229 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 2026-08-31.

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