kimi

kimi is a skill for Codex from ykanbe/codex-worker-runtime. It costs 60 tokens per session (274 once invoked), scanned A, original, MIT.

A skill for asking Kimi, an external AI worker, to help with plans, design discussions, research, comparisons, or second opinions.

In plain words
What is it for?
It is for delegating planning and design questions, or gathering and comparing information, when Kimi is available through the worker runtime.
Why use it?
It gives you a defined way to request outside input while keeping secrets and credentials out of the request. It also makes unavailable or timed-out workers explicit instead of silently switching providers.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit It is for delegating planning and design questions, or gathering and comparing information, when Kimi is available through the worker runtime.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ykanbe/codex-worker-runtime/kimi
Install

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.

Any agent
npx skills add ykanbe/codex-worker-runtime --skill kimi
Clone the repo
git clone --depth 1 https://github.com/ykanbe/codex-worker-runtime

Made for: Codex.

Wrote 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.

agentmods badge for kimi

README.md
[![agentmods](https://agentmods.dev/badge/skills/ykanbe/codex-worker-runtime/kimi/github.svg)](https://agentmods.dev/skills/ykanbe/codex-worker-runtime/kimi)
Your own site
<a href="https://agentmods.dev/skills/ykanbe/codex-worker-runtime/kimi"><img src="https://agentmods.dev/badge/skills/ykanbe/codex-worker-runtime/kimi/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.

agentmods 80×15 button for kimi

Your own site · 80×15
<a href="https://agentmods.dev/skills/ykanbe/codex-worker-runtime/kimi"><img src="https://agentmods.dev/badge/skills/ykanbe/codex-worker-runtime/kimi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 274 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.00274
Opus 5.5 $0.00024 $0.00110
Sonnet 5.5 $0.00012 $0.00055
Haiku 4.5 $0.00006 $0.00027

Measured 1mo ago against content hash ddc5242baba5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kimi 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.

standalone-skills/kimi/SKILL.md · 16 lines

What it actually says

Kimi

ユーザーの依頼をCodex Worker Runtimeのdelegate_workへ渡す。

  1. 計画、設計、案出し、相談はrole=planningを使う。
  2. 事実調査、比較、情報収集はrole=researchを使う。
  3. constraints.data_classification=internalを指定する。secretやcredentialは送らない。
  4. Kimiの成果物を会話へそのまま提示し、Codex自身の回答と偽らない。
  5. unavailable、timeout、HTTP 402の場合はKimiが利用不能だと簡潔に伝える。別providerへ切り替えず、proxyの起動、ログイン、設定変更を行わない。
  6. 必要な場合だけaudit_refとusageを補足する。監査の生requestやraw responseを自動で読み込まない。
Files

What ships with it

1 file 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.

Changes

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.

  1. 1mo ago First seen · 16 lines · 60 tokens per session scan A ddc5242baba5

Subscribe to this mod's changes

kimi is a skill published in the GitHub repository ykanbe/codex-worker-runtime (0 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 274 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

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…

microsoft/ai-agents-for-beginners · 200 tokens

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…

vercel/next.js · 95 tokens

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.

microsoft/vscode · 53 tokens

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…

microsoft/vscode · 71 tokens

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…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…

vercel/next.js · 123 tokens