runceel.ai-dev-template..github.agents

A group of repository-specific AI agents for product management, architecture, development, testing, review, documentation, and workflow coordination.

In plain words
What is it for?
Use it to manage a feature from requirements and design through coding, end-to-end testing, review, documentation, and pull-request work.
Why use it?
It separates different software-delivery responsibilities so requirements, implementation, tests, reviews, and documentation are handled explicitly.

Agent

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/sator-imaging/suggest-skills/runceel.ai-dev-template..github.agents
Clone the repo
git clone --depth 1 https://github.com/sator-imaging/suggest-skills
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 674 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00000 $0.00674
Opus 5 $0.00000 $0.00337
Sonnet 5 $0.00000 $0.00135
Haiku 4.5 $0.00000 $0.00067

Measured yesterday against content hash b4a867b16613, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

runceel.ai-dev-template..github.agents 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 yesterday.

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.

community/agents/runceel.ai-dev-template..github.agents.md · 10 lines

What it actually says

Name Description
Architect システム設計のレビュー・完成判断を行うアーキテクトエージェント。COMPLETE / INCOMPLETE の判定を下す。コード修正は行わない。
Developer GitHub Flow に従い、仕様書に基づく実装・ビルド・テスト・PR 作成を行う開発者エージェント。
Documentation コード・設計の変更に追従してプロジェクトドキュメント(docs/ 配下・README・テスト仕様書)を最新に保つドキュメンテーションエージェント。
Orchestrator feature-lifecycle スキルに従い、機能開発のライフサイクル全体を駆動する指揮者エージェント。状態管理・エージェント委譲・エスカレーションを担う。
Product Manager 要件分析・仕様書 Issue 作成・要件管理を行うプロダクトマネージャーエージェント。
Reviewer 仕様書・コードのレビューを行い、APPROVE / REQUEST CHANGES の判定を下すレビューワーエージェント。コード修正は行わない。
Tester テストシナリオ設計・E2E テスト実行・バグ報告を行う QA エージェント。コード修正は行わない。
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. yesterday First seen · 10 lines · 0 tokens per session scan A b4a867b16613

Subscribe to this mod's changes

runceel.ai-dev-template..github.agents is an agent published in the GitHub repository sator-imaging/suggest-skills (0 stars, last pushed 4d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 674 tokens. 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.