spec-story-starter

spec-story-starter is a skill for Claude Code, Codex from miyatti777/ai-plc. It costs 127 tokens per session (2,772 once invoked), scanned A, original, MIT.

Uma habilidade que transforma decisões de produto, atas ou conversas em uma história de usuário com critérios de aceitação e uma especificação técnica. Ela pode analisar o repositório existente para indicar onde a mudança deve ser feita.

In plain words
What is it for?
Serve para preparar especificações de funcionalidades, detalhar histórias já existentes com base no código e registrar o resultado em um arquivo local ou banco de tarefas, como o Notion.
Why use it?
Evita que uma ideia vaga chegue aos programadores sem detalhes suficientes para ser implementada. Também reduz o trabalho de converter discussões em tarefas verificáveis.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Serve para preparar especificações de funcionalidades, detalhar histórias já existentes com base no código e registrar o resultado em um arquivo local ou banco de tarefas, como o Notion.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/miyatti777/ai-plc/spec-story-starter
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.

Any agent
npx skills add miyatti777/ai-plc --skill spec-story-starter
Clone the repo
git clone --depth 1 https://github.com/miyatti777/ai-plc

Made for: Claude Code, Codex.

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 spec-story-starter

README.md
[![agentmods](https://agentmods.dev/badge/skills/miyatti777/ai-plc/spec-story-starter/github.svg)](https://agentmods.dev/skills/miyatti777/ai-plc/spec-story-starter)
Your own site
<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.

agentmods 80×15 button for spec-story-starter

Your own site · 80×15
<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>
Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,772 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00127 $0.02772
Opus 5 $0.00063 $0.01386
Sonnet 5 $0.00025 $0.00554
Haiku 4.5 $0.00013 $0.00277

Measured 12d ago against content hash a25c483da78b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

core/skills/utility/spec-story-starter/SKILL.md · 155 lines

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。

Read the full file on GitHub · 155 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. 12d ago First seen · 155 lines · 127 tokens per session scan A a25c483da78b

Subscribe to this mod's changes

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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