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.
npx skills add miyatti777/ai-plc --skill spec-story-startergit clone --depth 1 https://github.com/miyatti777/ai-plcWrote 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.
[](https://agentmods.dev/skills/miyatti777/ai-plc/spec-story-starter)<a href="https://agentmods.dev/skills/miyatti777/ai-plc/spec-story-starter"><img src="https://agentmods.dev/badge/skills/miyatti777/ai-plc/spec-story-starter/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/miyatti777/ai-plc/spec-story-starter"><img src="https://agentmods.dev/badge/skills/miyatti777/ai-plc/spec-story-starter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00127 | $0.02772 |
| Opus 5 | $0.00063 | $0.01386 |
| Sonnet 5 | $0.00025 | $0.00554 |
| Haiku 4.5 | $0.00013 | $0.00277 |
Grade A, and why
spec-story-starter 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
spec-story-starter — Feature Story & Spec Starter(汎用・Subagent収束型)
議論/議事録/選定済み施策を起点に、対象リポジトリの実構造にgroundした Story + Spec を生成し、指定バックログに起票(またはローカル出力)する。特定ツール連携の専用版スキル(v1.1)を、任意リポジトリ・任意バックログに向けられる汎用スキルへ翻案したもの。
収束の中核: 抽象的な施策(「補充リマインドをやる」)を、複数Subagentで「既存コードのどこに何を実装するか」まで絞り込む。発散(広げる)の対に位置する収束(実装可能な1形に落とす)フェーズを担う。
When to Use
- 発散・選定フェーズで決まった施策を、エンジニアに渡せる仕様に落としたいとき
- Chat/議事録の機能議論を、Story(受け入れ基準付き)とSpec(技術仕様)に一気に構造化したいとき
- 既存の簡素なStoryを、対象リポジトリの実装文脈で詳細化したいとき
入力インターフェース
| 入力 | 必須 | 説明 |
|---|---|---|
source |
✅ | 起点。選定ドキュメント/議事録ページ/Chat議論/既存Story。パス・URL・直近会話のいずれか |
feature_label |
✅ | 機能名(例: 補充リマインド配信) |
target_repo |
⭕ | 仕様をgroundする対象リポジトリのパス。指定するとそのコード構造を読んで実装箇所を特定。未指定=カレントリポ or repo探索スキップ(構造非依存の一般Specになる) |
backlog_db_url |
⭕ | 起票先バックログDB(Notion DB URL / ローカルbacklogパス)。指定時はそこにStory行を起票。未指定=ローカル <出力先>/Story.md に出力 |
spec_output |
⭕ | Spec出力先(ローカルファイルパス / Specs DB URL)。未指定=<出力先>/Spec.md |
detail_level |
⭕ | lean / standard(既定) / deep。Story/Spec同一粒度 |
出力先が未指定の場合は Flow/[YYYYMM]/[YYYY-MM-DD]/[feature_label]/ を既定とする。
処理フロー(Subagent収束)
source ──▶ P1 要旨抽出
│
▼
P2 repo探索(Subagent①) ── target_repoの構造・接続点・既存パターンを地図化
│ (target_repo未指定ならスキップ)
▼
P3 Story骨子 + Spec章立て 提案 ──▶ P4 Mob CP(停止・承認)
│ OK
▼
P5 並列収束: Story起草(Subagent②) ∥ Spec起草(Subagent③) ← ともにP2の地図をground情報として受領
│
▼
P6 整合レビュー(Subagent④ / maker≠checker) ── Story⇔Spec整合・repo実現可能性
│
▼
P7 出力/起票(backlog_db_url or ローカル) ─▶ P8 Verification ─▶ P9 完了報告
Phase 1: 要旨抽出
source から抽出: 課題(Why) / 背景 / 成功条件(Acceptance想定) を3〜5行に要約。selectされた施策なら「なぜこの施策か」の根拠も拾う。
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.
- 12d ago First seen · 155 lines · 127 tokens per session scan A a25c483da78b
spec-story-starter is a skill published in the GitHub repository miyatti777/ai-plc (45 stars, last pushed 1mo ago), licensed MIT. It adds 127 tokens to every session and 2,772 once invoked, about $0.0006 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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