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 agentmods add commands/j5ik2o/okite-ai/create-skillgit clone --depth 1 https://github.com/j5ik2o/okite-aiWrote 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/commands/j5ik2o/okite-ai/create-skill)<a href="https://agentmods.dev/commands/j5ik2o/okite-ai/create-skill"><img src="https://agentmods.dev/badge/commands/j5ik2o/okite-ai/create-skill.svg" alt="Measured on agentmods" 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 | $0.00017 | $0.01996 |
| Opus 5 | $0.00009 | $0.00998 |
| Sonnet 5 | $0.00003 | $0.00399 |
| Haiku 4.5 | $0.00002 | $0.00200 |
Grade A, and why
create-skill 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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- create-skill — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/create-skill - スキル作成コマンド
このコマンドは、skill-creatorスキルを使って新しいスキルを作成し、reviewing-skillsスキルでレビュー・自動修正を行います。
スコープ
重要: スキルはプロジェクトスコープ(.claude/skills/)に作成します。グローバルスコープ(~/.claude/skills/)には作成しません。
skills/が存在しても.claude/skills/に作成します。
出力先: {プロジェクトルート}/.claude/skills/{スキル名}/
使い方
引数付き起動
/create-skill pdf-converter PDFファイルを画像に変換するスキル
引数なし起動(対話的)
/create-skill
[1/3] スキル情報の取得
引数の解析
引数からスキル情報を取得します:
$1: スキル名$2以降: スキルの説明
スキル名: $1
スキルの説明: $ARGUMENTS から $1 を除いた部分
$1が空の場合、AskUserQuestionツールを使用して以下を質問してください:
AskUserQuestion({
questions: [
{
question: "作成するスキルの名前を入力してください。\n\n例:\n- pdf-converter\n- code-review\n- data-analyzer",
header: "スキル名",
options: [
{
label: "名前を入力",
description: "スキル名を直接入力"
}
],
multiSelect: false
}
]
})
スキル名取得後、説明が空の場合も質問してください:
AskUserQuestion({
questions: [
{
question: "スキルの説明を入力してください。何を行うスキルですか?\n\n例:\n- PDFファイルを画像に変換し、OCR処理を行う\n- コードレビューを自動化し、改善点を提案する\n- データを分析してレポートを生成する",
header: "スキル説明",
options: [
{
label: "説明を入力",
description: "スキルの説明を直接入力"
}
],
multiSelect: false
}
]
})
[2/3] スキルの作成
TodoWriteでタスク管理
TodoWriteツールを使用してタスクを作成:
TodoWrite({
todos: [
{
content: "skill-creatorでスキルを作成",
activeForm: "スキルを作成している",
status: "in_progress"
},
{
content: "reviewing-skillsでスキルをレビュー",
activeForm: "スキルをレビューしている",
status: "pending"
},
{
content: "レビュー結果に基づいて自動修正",
activeForm: "スキルを自動修正している",
status: "pending"
}
]
})
skill-creatorの実行
Skillツールを使用してskill-creatorスキルを実行します:
Skill({
skill: "example-skills:skill-creator",
args: "[スキル名] [スキルの説明]"
})
重要:
- skill-creatorが対話的に質問してくる場合は、ユーザーから取得した情報を元に回答してください
init_skill.pyの--pathオプションにはプロジェクトスコープを指定すること:# 正しい(プロジェクトスコープ) init_skill.py [スキル名] --path {プロジェクトルート}/.claude/skills # 間違い(グローバルスコープ) init_skill.py [スキル名] --path ~/.claude/skills
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.
- 3d ago First seen · 287 lines · 17 tokens per session scan A 8246554e2280
create-skill is a command published in the GitHub repository j5ik2o/okite-ai (81 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 1,996 once invoked, about $0.0001 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 2026-09-01.
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checklist
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clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.