kimi

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 Claude CodeCodex

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.

agentmods
npx agentmods add skills/ykanbe/codex-worker-runtime/kimi
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: Claude Code, Codex.

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. Scan, not verified.
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 $0.00060 $0.00274
Opus 5 $0.00030 $0.00137
Sonnet 5 $0.00012 $0.00055
Haiku 4.5 $0.00006 $0.00027

Measured yesterday against content hash ddc5242baba5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 yesterday.

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. unavailabletimeout、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. yesterday 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 1mo ago), licensed MIT. It adds 60 tokens to every session and 274 once invoked, about $0.0003 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 2026-08-31.

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