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 syou6162/agent-skills --skill planning-guardrailsgit clone --depth 1 https://github.com/syou6162/agent-skillsWrote 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/syou6162/agent-skills/planning-guardrails)<a href="https://agentmods.dev/skills/syou6162/agent-skills/planning-guardrails"><img src="https://agentmods.dev/badge/skills/syou6162/agent-skills/planning-guardrails/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/syou6162/agent-skills/planning-guardrails"><img src="https://agentmods.dev/badge/skills/syou6162/agent-skills/planning-guardrails.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 | $0.00113 | $0.00635 |
| Opus 5 | $0.00056 | $0.00318 |
| Sonnet 5 | $0.00023 | $0.00127 |
| Haiku 4.5 | $0.00011 | $0.00064 |
Grade A, and why
planning-guardrails 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.
What it actually says
Planning Guardrails
目的
Plan modeでの計画作成において、情報の抜けや意図のねじ曲げを防ぎ、レビューで検証しやすいプランを作ること。
使用タイミング
Plan modeで計画を作る時は必ずこのスキルを使用する。
必須チェックリスト
- ユーザーは音声入力を使うことがあり、言い間違いやフィラー、感情的な発言が含まれる前提で記録する
- 参考情報（ユーザー提供URL/過去PR/ファイルパス＋短い注釈）
- ユーザー発言（要約）
- ユーザー発言（生ログ、意味は変えず最小整形のみ）
- 背景
- 目的・成功条件
- スコープ（in/out）
- 実装方針（主要アプローチ）
- 実行計画（テストがある場合はTDD前提を明記）
- 公開API/インターフェース変更
- 観測可能な成果/確認手順（実行方法・期待結果）
- 代替案/選択肢（複数案がある場合は比較と採用理由を明記）
- テスト/検証（正常系/異常系のテストケースを必ず記載）
- リスク・前提
生ログの整形ルール
- 意図のねじ曲げを防ぎ、レビュー時に発言とプランの整合性を検証できるようにするため、生ログはそのまま保持する
- 言い換え・要約・意味変更は禁止
- 句読点の追加と改行のみ許可
不明点の解消
- 必須セクションが埋まらない、または不明点がある場合はユーザーに質問して確認し、決定事項を反映してからプランを完成させる
テンプレートと例
- 詳細テンプレートと詳細例:
references/plan-template.md - 最小例:
references/plan-examples-min.md - 詳細例:
references/plan-examples-detailed.md
What ships with it
3 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.
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 · 48 lines · 113 tokens per session scan A b1ac9af670dd
planning-guardrails is a skill published in the GitHub repository syou6162/agent-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 113 tokens to every session and 635 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…