awesome-opencode-agents AGENTS.md

A set of AGENTS.md instructions for the awesome-opencode-agents repository, which contains specialized AI agents for OpenCode.

In plain words
What is it for?
It documents installation, development, build and test commands, where generated files belong, and contribution conventions.
Why use it?
It gives coding assistants project-specific guidance, reducing uncertainty about the repository structure, development commands, tests, and pull requests.

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/microrepar/awesome-opencode-agents/agents-md
Clone the repo
git clone --depth 1 https://github.com/microrepar/awesome-opencode-agents

Made for: Codex, OpenCode.

Per session 3,164 This file is loaded in full into every session.
When invoked 3,164 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 $0.03164 $0.03164
Opus 5 $0.01582 $0.01582
Sonnet 5 $0.00633 $0.00633
Haiku 4.5 $0.00316 $0.00316

Measured 2d ago against content hash ccbe6a546acf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

awesome-opencode-agents 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.

AGENTS.md · 375 lines

How it starts

The opening of the file, as written. The whole thing — 375 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides guidance to OpenCode when working with code in this repository.

Project Overview

This is the Awesome OpenCode Agents repository - a collection of 24 specialized AI agents that extend OpenCode's capabilities through intelligent orchestration and domain expertise. The agents work together as a development team, with each agent having specific expertise and delegation patterns.

Dev Environment Tips

  • Install dependencies with npm install before running scaffolds.
  • Use npm run dev for the interactive TypeScript session that powers local experimentation.
  • Run npm run build to refresh the CommonJS bundle in dist/ before shipping changes.
  • Store generated artefacts in .context/ so reruns stay deterministic.

Testing Instructions

  • Execute npm run test to run the Jest suite.
  • Append -- --watch while iterating on a failing spec.
  • Trigger npm run build && npm run test before opening a PR to mimic CI.
  • Add or update tests alongside any generator or CLI changes.

PR Instructions

  • Follow Conventional Commits (for example, feat(scaffolding): add doc links).
  • Cross-link new scaffolds in docs/README.md and agents/README.md so future agents can find them.
  • Attach sample CLI output or generated markdown when behaviour shifts.
  • Confirm the built artefacts in dist/ match the new source changes.

Working with Agents

When creating or modifying agents:

  1. Agents are Markdown files with YAML frontmatter (for agent definitions)
  2. Most agents should omit the tools field to inherit all available tools
  3. Use XML-style examples in descriptions for intelligent invocation
  4. Agents return structured findings for main agent coordination

Orchestration Pattern for OpenCode

Since sub-agents in OpenCode cannot directly invoke other sub-agents, orchestration follows this strict pattern:

CRITICAL: Agent Routing Protocol

When handling complex tasks, you MUST:

  1. ALWAYS start with tech-lead-orchestrator for any multi-step task
  2. FOLLOW the agent routing map returned by tech-lead EXACTLY
  3. USE ONLY the agents explicitly recommended by tech-lead
  4. NEVER select agents independently - tech-lead knows which agents exist

Read the full file on GitHub · 375 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 · 375 lines · 3,164 tokens per session scan A ccbe6a546acf

Subscribe to this mod's changes

awesome-opencode-agents AGENTS.md is an instructions file published in the GitHub repository microrepar/awesome-opencode-agents (1 stars, last pushed 6mo ago), licensed MIT. It adds 3,164 tokens to every session, about $0.0158 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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