agentware AGENTS.md

agentware AGENTS.md is an instructions file for Codex, OpenCode from r5rana/agentware. It costs 3,997 tokens per session, scanned A, original, Apache-2.0.

A repository instruction file that tells coding agents how to plan, execute, verify, and finish work, while also protecting an external knowledge base and package rules.

In plain words
What is it for?
Use it to guide task planning, code changes, project verification, knowledge-base updates, and controlled agent self-extension.
Why use it?
It gives agents a consistent working method and prevents them from skipping checks, using private data incorrectly, or marking unfinished work complete.

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/r5rana/agentware/agents-md
Clone the repo
git clone --depth 1 https://github.com/r5rana/agentware

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 agentware AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/r5rana/agentware/agents-md.svg)](https://agentmods.dev/instructions/r5rana/agentware/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/r5rana/agentware/agents-md"><img src="https://agentmods.dev/badge/instructions/r5rana/agentware/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 3,997 This file is loaded in full into every session.
When invoked 3,997 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 $0.03997 $0.03997
Opus 5 $0.01998 $0.01998
Sonnet 5 $0.00799 $0.00799
Haiku 4.5 $0.00400 $0.00400

Measured 4d ago against content hash 1f7bd4dd7205, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentware 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 · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Canonical Methodology (Deterministic Steering Format)

Single source of truth for agent behaviour. Loaded as always-on context because the auto-loaded CLAUDE.md imports it with @AGENTS.md. The agentware subagents reference it too. Rationale and examples live in docs/methodology.md (NOT agent-loaded). Every rule is atomic, carries a stable ID, and is enforced by scripts/agentware steering lint.

agentware ships ZERO personal data. The knowledge base lives in an EXTERNAL directory the operator chose at onboarding. Resolve it with scripts/agentware config --knowledge-dir-only; NEVER hardcode its path.

Execution loop

Every task runs this loop. Do not skip steps; do not stop until all subtasks are done.

  1. PLAN — break the task into verifiable subtasks; save the plan.
  2. EXECUTE — run commands / write code for one subtask.
  3. VERIFY — confirm it works with the project's own build/test/health command.
  4. NEXT — move to the next subtask.
  5. REPEAT — until every subtask is complete.
  6. COMPLETE — update the knowledge base, then present results.

Build and complete

  • MUST treat building and completing tasks as the primary job. [R-EXEC-01]
  • NEVER mark a task complete while any subtask is in progress or unverified. [R-EXEC-02]
  • ALWAYS ask "is the original goal fully achieved?" before presenting results. [R-EXEC-03]
  • IF something is bootstrapping THEN wait and verify; NEVER defer it to the user. [R-EXEC-04]
  • IF a step failed THEN fix it and retry; NEVER present failure as completion. [R-EXEC-05]
  • IF blocked by a dependency not resolvable under R-AUTO-01 THEN document the blocker and ask the user. [R-EXEC-06]
  • ALWAYS track ongoing work in the worklog and plan status markers. [R-EXEC-07]
  • NEVER pivot to a different approach mid-task without user approval; in-scope judgment is licensed by R-AUTO-01. [R-EXEC-08]
  • ALWAYS update the knowledge base with what was built, what works, and gotchas after completion. [R-EXEC-09]

Planning

Read the full file on GitHub · 176 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 · 176 lines · 3,997 tokens per session scan A 1f7bd4dd7205

Subscribe to this mod's changes

agentware AGENTS.md is an instructions file published in the GitHub repository r5rana/agentware (24 stars, last pushed 17d ago), licensed Apache-2.0. It adds 3,997 tokens to every session, about $0.0200 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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