Borrowing it
Nothing to install: this file belongs to yoshimi-I/ai-engineer-teams. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yoshimi-I/ai-engineer-teams/main/.kiro/skills/inception/SKILL.mdgit clone --depth 1 https://github.com/yoshimi-I/ai-engineer-teamsWrote 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/yoshimi-i/ai-engineer-teams/inception)<a href="https://agentmods.dev/skills/yoshimi-i/ai-engineer-teams/inception"><img src="https://agentmods.dev/badge/skills/yoshimi-i/ai-engineer-teams/inception/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/yoshimi-i/ai-engineer-teams/inception"><img src="https://agentmods.dev/badge/skills/yoshimi-i/ai-engineer-teams/inception.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00114 | $0.00378 |
| Opus 5.5 | $0.00046 | $0.00151 |
| Sonnet 5.5 | $0.00023 | $0.00076 |
| Haiku 4.5 | $0.00011 | $0.00038 |
Grade A, and why
inception 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 1mo 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.
What it actually says
INCEPTIONフェーズ — 適応型プロジェクト計画
AI-DLCから適応した構造化計画ワークフロー。 要件 → 設計 → issue生成をプロジェクトの複雑さに応じて適応的にガイドする。
ワークフロー
1. ワークスペース検出（常に実行）
2. 要件分析（常に実行、適応的深度）
3. ユーザーストーリー（条件付き）
4. デザインビジョン（条件付き — UIがある場合）
5. アーキテクチャ設計（条件付き）
6. Issue生成（常に実行）→ オーケストレーターに供給
詳細ステップは references/ にあり、必要に応じて読む:
references/workspace-detection.mdreferences/requirements-analysis.mdreferences/user-stories.mdreferences/design-vision.mdreferences/architecture-design.mdreferences/issue-generation.mdreferences/depth-levels.mdreferences/question-format.md
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/api-design.md 5.3 KB
- references/architecture-design.md 3.2 KB
- references/db-design.md 3.4 KB
- references/depth-levels.md 834 B
- references/design-artifacts.md 365 B
- references/design-vision.md 6.0 KB
- references/domain-modeling.md 10 KB
- references/issue-generation.md 18 KB
- references/question-format.md 812 B
- references/requirements-analysis.md 4.8 KB
- references/ui-design.md 3.8 KB
- references/user-stories.md 1.2 KB
- references/workspace-detection.md 1.3 KB
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.
- 1mo ago First seen · 36 lines · 114 tokens per session scan A 0b37209cc552
inception is a skill published in the GitHub repository yoshimi-I/ai-engineer-teams (2 stars, last pushed 3mo ago), licensed MIT. It adds 114 tokens to every session and 378 once invoked, about $0.0005 per session on Opus 5.5. 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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