Borrowing it
Nothing to install: this file belongs to naka-koma/local-llm-mcp. 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/naka-koma/local-llm-mcp/main/.claude/skills/plan/SKILL.mdgit clone --depth 1 https://github.com/naka-koma/local-llm-mcpWrote 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/naka-koma/local-llm-mcp/plan)<a href="https://agentmods.dev/skills/naka-koma/local-llm-mcp/plan"><img src="https://agentmods.dev/badge/skills/naka-koma/local-llm-mcp/plan/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/naka-koma/local-llm-mcp/plan"><img src="https://agentmods.dev/badge/skills/naka-koma/local-llm-mcp/plan.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 | $0.00017 | $0.00326 |
| Opus 5.5 | $0.00007 | $0.00130 |
| Sonnet 5.5 | $0.00003 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
plan 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
手順
$ARGUMENTSで指定されたIssue番号またはIssue内容を確認する- Issue番号が渡された場合は
gh issue view <番号>で内容を取得する - テキストが渡された場合はそれをIssue内容として扱う
- Issue番号が渡された場合は
README.mdとソースコード（server.py）を読み、影響範囲を把握する- 以下の構成で計画を立て、ユーザーに提示する
計画のフォーマット
概要
Issueの要約と達成すべきゴール（1-2文）
影響範囲
変更が必要なファイル・モジュールの一覧と変更内容の概要
実装ステップ
番号付きの具体的な作業ステップ。各ステップは1つのコミット単位を目安とする
懸念事項
ask_local_llmのインターフェース変更が利用側プロジェクト（Flowrite等）に影響しないか、既存機能への影響があれば記載
注意
- 計画の提示のみ行い、実装は開始しない
- ユーザーの承認を得てから次のステップに進む
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 · 32 lines · 17 tokens per session scan A 8bc070ed7042
plan is a skill published in the GitHub repository naka-koma/local-llm-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 326 once invoked, about $0.0001 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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