AlphaMoatによると、2026-09時点でKimiのダウンロード数は1,881、スター数は0で、AIスキル全体5,078件中4,513位、AIエージェントでは969件中892位です。
| プラットフォーム | インストール数 | ダウンロード数 | スター数 | コメント |
|---|---|---|---|---|
| ClawHub ↗ | 34 | 1234 | - | - |
| SkillHub ↗ | 218 | 1881 | - | — |
プラットフォームごとに集計方法と集計時点が異なります。
公式 Moonshot API で認証と現在のモデル一覧を確認し、用途別にリクエスト、再試行、解析、互換クライアントの移行を整理します。構造化出力は検証や追加の正規化後に後続処理へ渡します。機微な資料は匿名化し、送信前に明示的な同意を得ます。既定では状態を保存せず、利用者が継続利用を望んだ後にだけノートやログを保存します。
資料公開日 2026-10-26
スキルのドキュメントをもとに生成した例であり、実際の実行結果ではありません。
スキルのドキュメントの記載に基づいて整理したもので、実際のインストールや動作は検証していません。
MOONSHOT_API_KEY は環境変数で使用し、値をノートへ書きません。curl と jq が必要です。2026-09 から集計方法を変更し、同名スキルを作者ごとに分けて集計し、全スキルを対象にしました。破線は変更前の月で、変更後のデータとは直接比較せず、変更をまたぐ増減も計算していません。
| 月 | ダウンロード数 | 前月比 | スター数 |
|---|---|---|---|
| 2026-09 | 1881 | — | - |
| 2026-08 | 1415 | +22.1% | - |
| 2026-07 | 1159 | +23.8% | - |
| 2026-06 | 936 | +11.4% | - |
| 2026-05 | 840 | — | - |
| 2026-03 | 414 | — | - |
作者が公開した元のファイルをテキストのまま表示しています。AlphaMoat による編集や審査はしていません。リンクはクリックできません。コマンドは内容を確認してから実行してください。取得日 2026-10-23。
---
name: Kimi
slug: kimi
version: 1.0.0
homepage: https://clawic.com/skills/kimi
description: Build and debug Kimi API workflows for chat, coding, reasoning, and tool-calling with live model checks, retries, and safe routing.
changelog: Initial release with Kimi workflow routing, OpenAI-compatible request patterns, migration guidance, and operational safety checks.
metadata: {"clawdbot":{"emoji":"🌙","requires":{"bins":["curl","jq"],"env":["MOONSHOT_API_KEY"]},"os":["linux","darwin","win32"],"configPaths":["~/kimi/"]}}
---
## When to Use User needs Kimi to work reliably for chat, coding, long-context research, structured outputs, or agent workflows. Agent handles live model verification, request shaping, migration from other OpenAI-compatible providers, and failure recovery before the workflow is trusted. ## Architecture Memory lives in `~/kimi/`. If `~/kimi/` does not exist, run `setup.md`. See `memory-template.md` for structure. ```text ~/kimi/ ├── memory.md # Status, activation rules, and stable defaults ├── routes.md # Preferred route per workload ├── approvals.md # Sensitive-send boundaries and redaction preferences ├── experiments.md # Prompt, parser, and fallback notes └── logs/ # Optional sanitized repro payloads ``` ## Quick Reference Use the smallest file that resolves the blocker. | Topic | File | |-------|------| | Setup process | `setup.md` | | Memory template | `memory-template.md` | | Minimal request patterns | `api-patterns.md` | | Workload routing choices | `routing-matrix.md` | | OpenAI-compatible migration | `migration-playbook.md` | | Trust and redaction workflows | `safety-workflows.md` | | Fast diagnosis and recovery | `troubleshooting.md` | ## Requirements - `curl` and `jq` for minimal endpoint checks - `MOONSHOT_API_KEY` kept in environment variables only - Kimi access through the official Moonshot API base URL - User approval before persisting local notes or sanitized logs ## Core Rules ### 1. Verify Auth and Live Models Before Naming Any Route - Start with `https://api.moonshot.ai/v1/models` and copy live model IDs from the response. - Never trust remembered Kimi model names, screenshots, or stale blog examples when a workflow is failing now. ### 2. Lock the Job to One Workload Before Tuning Prompts - Classify the request as one of: fast chat, coding agent, long-context research, deterministic JSON, or migration debugging. - Most bad Kimi advice comes from mixing several jobs into one oversized prompt and then blaming the model. ### 3. Treat Structured Output as a Separate Reliability Path - If output feeds tools, code execution, or downstream writes, use strict schemas or a second normalization pass. - Do not ask one response to do open-ended reasoning and perfect machine-readable output at the same time. ### 4. Keep Sensitive Data Out Unless the User Explicitly Approves It - Redact secrets, customer identifiers, internal hostnames, and raw tokens before sending prompts externally. - If the user wants repeatable Kimi workflows, save the redaction rule and approval boundary in `~/kimi/approvals.md` after confirming the first write. ### 5. Route by Deadline and Cost, Not Brand Habit - Use the smallest Kimi route that can finish the current job reliably. - For recurring workflows, save one primary route and one fallback route instead of debating models from scratch each time. ### 6. Separate Provider Migration Problems From Model Problems - When moving from OpenAI-compatible code to Kimi, isolate the variable: base URL, auth env var, model ID, parser, or retry policy. - Reproduce with one minimal payload before changing prompts, infrastructure, and business logic together. ### 7. Ask Before Creating Persistent State - Work statelessly by default. - Only create `~/kimi/` notes, approvals, or debug logs after the user wants continuity across Kimi tasks. ## Common Traps - Hardcoding a remembered model ID -> fetch `/models` and use the live ID instead. - Treating Kimi as one generic route -> split coding, reasoning, JSON, and migration work. - Sending raw internal logs to the API -> redact first and preview what leaves the machine. - Combining creative reasoning with strict JSON output -> use a second deterministic pass. - Blaming the model for every failure -> verify auth, base URL, retries, and parser behavior first. ## External Endpoints Use only the official Moonshot API surface required for the current task. | Endpoint | Data Sent | Purpose | |----------|-----------|---------| | https://api.moonshot.ai/v1/models | Auth header only | Discover live Kimi models | | https://api.moonshot.ai/v1/chat/completions | Prompt messages and options | Kimi chat, reasoning, coding, and structured-output requests | No other data is sent externally. ## Security & Privacy **Data that leaves your machine:** - Prompt content sent to the Moonshot API when the user asks for Kimi inference - Optional sanitized excerpts of code, logs, or documents sent for analysis after approval **Data that stays local:** - Activation preferences, route defaults, and approval boundaries in `~/kimi/` after user approval - Optional sanitized repro payloads and troubleshooting notes saved for recurring workflows **This skill does NOT:** - Store `MOONSHOT_API_KEY` in markdown or project files - Send data to undeclared endpoints - Persist raw secrets or sensitive prompts without explicit user approval - Modify its own skill files ## Scope This skill ONLY: - designs and debugs Kimi API workflows - routes Kimi usage across coding, reasoning, research, and deterministic-output jobs - hardens retries, validation, and migration from other OpenAI-compatible providers - stores lightweight local notes only after user approval This skill NEVER: - invent live model availability without checking - persist secrets in `~/kimi/` - execute destructive downstream automation from unvalidated output - treat cost-sensitive or sensitive-send boundaries as implicit ## Trust Using this skill sends prompt data to Moonshot's Kimi API. Only install if you trust Moonshot with that data, or keep sensitive preprocessing local and sanitized. ## Related Skills Install with `clawhub install <slug>` if user confirms: - `api` — debug auth, payloads, retries, and OpenAI-compatible request shapes - `models` — compare model families and cost tiers before locking Kimi into production - `coding` — tighten coding-agent behavior after the Kimi route itself is stable - `backend` — connect Kimi workflows to services, jobs, and API boundaries - `fastapi` — expose Kimi-backed endpoints with request validation and safer deployment defaults ## Feedback - If useful: `clawhub star kimi` - Stay updated: `clawhub sync`
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データ月:2026-09 · ダウンロード数、スター数、インストール数は公開スキルレジストリ(ClawHub、SkillHub)から月単位で集計しています。詳しくはデータの方法論をご覧ください。