README

A directory guide for AI agent definitions used by Claude Code and Codex CLI. It lists the agents, their files, and their roles in a shared development workflow.

In plain words
What is it for?
Use it to inspect agent roles, workflow responsibilities, and the locations of detailed Markdown or shorter TOML definitions.
Why use it?
It helps developers find the right agent definition and understand which files apply to each coding tool.

Agent for Claude Code

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 agents/s977043/plangate/readme
Clone the repo
git clone --depth 1 https://github.com/s977043/PlanGate

Made for: Claude Code.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,732 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00000 $0.01732
Opus 5 $0.00000 $0.00866
Sonnet 5 $0.00000 $0.00346
Haiku 4.5 $0.00000 $0.00173

Measured 2d ago against content hash f85a6485188d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

README scanned grade B with 1 finding 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

- **[.codex/config.toml](../../.codex/config.toml)** — Codex CLI 設定(エージェント登録)
.claude/agents/README.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Definitions (Claude Code)

プロジェクト共通制約は CLAUDE.mddocs/ai/project-rules.md(正本)を参照。

このディレクトリには、Claude Code 向けのエージェント詳細定義(.md)が含まれています。 Codex CLI 向けの要約版は .codex/agents/*.toml にあります。


エージェント定義一覧

2 層構成(2026-06-10 スリム化): ゲート列(WF-01〜06 / C / V / L-0)を担う コア(orchestrator / workflow-conductor / requirements-analyst / solution-architect / spec-writer / implementation-agent / implementer / qa-reviewer / acceptance-tester / code-optimizer / linter-fixer / retrospective-analyst / setup-coordinator)と、必要時に description マッチで 起動する 支援(explorer-agent / project-planner / documentation-writer / skill-designer)の 2 層。実使用の証跡がない 6 体(agile-coach / scrum-master / migration-agent / prompt-engineer / research-analyst / claude-code-reviewer)は 2026-06-10 監査で削除(git 履歴から復元可能)。

計画・調整

エージェント ファイル Codex toml 説明
orchestrator orchestrator.md orchestrator.toml マルチエージェント調整、タスクオーケストレーション
project-planner project-planner.md project_planner.toml タスク分解、計画策定、依存関係グラフ
workflow-conductor workflow-conductor.md workflow_conductor.toml ai-dev-workflow のフェーズ遷移管理(司令塔)

コンテンツ作成

エージェント ファイル Codex toml 説明
documentation-writer documentation-writer.md documentation_writer.toml ドキュメント・ナレッジ整備
skill-designer skill-designer.md skill_designer.toml Codex/Cloud用スキル設計・作成

実装・品質

エージェント ファイル Codex toml 説明
implementer implementer.md implementer.toml exec フェーズのタスク実装(TDD)
acceptance-tester acceptance-tester.md acceptance_tester.toml V-1 受け入れ検査
code-optimizer code-optimizer.md code_optimizer.toml V-2 コード最適化(high-risk/criticalモード)
linter-fixer linter-fixer.md linter_fixer.toml L-0 リンター自動修正

Read the full file on GitHub · 95 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 · 95 lines · 0 tokens per session scan B f85a6485188d

Subscribe to this mod's changes

README is an agent published in the GitHub repository s977043/PlanGate (2 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,732 tokens. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other agents, from other repositories

kg-assistant

General-purpose KG-aware assistant for any Semantica task. Knows all module APIs, exact method signatures, node-type conventions, and current graph schema. Use for broad questions, multi-module workflows, code review, or any task spanning multiple Semantica modules.

semantica-agi/semantica · 57 tokens

unit-test-writer

Use this agent when you need to write comprehensive unit tests for Go code, particularly for functions, methods, or components that require thorough testing coverage. Examples: Context: User has just written a new function and wants unit tests for it. user: 'I just wrote this function to validate email addresses, can…

stacklok/toolhive-registry-server · 228 tokens

gemini-expression

DISCLAIMER: This document is managed exclusively by Gemini. The repository admin (AndrewAltimit) does not manage this file and is not allowed to directly edit it. Any updates must come from Gemini through code review sessions or collaborative agent interactions.

AndrewAltimit/template-repo · 0 tokens

claude-auth

The AI agents (issue monitor and PR review monitor) run directly on the host machine instead of in Docker containers. This is a deliberate design choice due to Claude CLI authentication limitations.

AndrewAltimit/template-repo · 0 tokens

auto-review

The Auto Review pipeline allows AI agents to analyze and comment on GitHub issues and pull requests without making any code changes.

AndrewAltimit/template-repo · 0 tokens

arckit-datascout

Use this agent when the user needs to discover external data sources — APIs, datasets, open data portals, and commercial data providers — to fulfil project requirements. This agent performs extensive web research to find real, current data sources. Examples: Context: User has a project with requirements and wants to…

tractorjuice/arc-kit · 398 tokens