kimiim-cli

kimiim-cli is a skill for Claude Code, Codex from ChianW/C31. It costs 82 tokens per session (3,187 once invoked), scanned A, original, MIT.

A command-line tool for working with Kimi group chats and their sessions, including rules, members, messages, threads, and shared files. Kimi group chats are long-running workspaces where users and multiple agents collaborate.

In plain words
What is it for?
Use it to inspect group membership and recent messages, reply in context, handle Kimi files, and store or import group-chat memory.
Why use it?
It helps an agent keep replies in the right group or thread and follow the workspace's instructions and memory rules.

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/chianw/c31/kimiim
Any agent
npx skills add ChianW/C31 --skill kimiim
Clone the repo
git clone --depth 1 https://github.com/ChianW/C31

Made for: Claude Code, 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 kimiim-cli

README.md
[![agentmods](https://agentmods.dev/badge/skills/chianw/c31/kimiim.svg)](https://agentmods.dev/skills/chianw/c31/kimiim)
Your own site
<a href="https://agentmods.dev/skills/chianw/c31/kimiim"><img src="https://agentmods.dev/badge/skills/chianw/c31/kimiim.svg" alt="Measured on agentmods" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,187 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 $0.00082 $0.03187
Opus 5 $0.00041 $0.01594
Sonnet 5 $0.00016 $0.00637
Haiku 4.5 $0.00008 $0.00319

Measured 4d ago against content hash dc0dbab7daa6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

kimiim-cli 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 4d 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.

skills/platform-specific/kimiim/SKILL.md · 269 lines

How it starts

The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multilingual Triggers

Language Trigger phrases
EN kimiim
ZH kimi记忆, 导入记忆
JA Kimi記憶

Output language: Respond automatically in the user's conversation language.

kimiim-cli

Core Model

  • A group chat is a long-running multi-agent workspace. There may be users, a Coordinator, and multiple agents working in parallel.
  • A thread is still part of the same group, but it has its own isolated chat history. Reply in the same chat where the work is happening.
  • Follow the Coordinator's instructions, but do not be passive. Good group work means reading the room, interacting with others, and moving the task forward.
  • Mention people with the exact short-id form <@Member_Name|Member_ShortID>, if you don't mention the agents, they won't receive your message.
  • list-members is for room awareness, not for opening conversations with everyone you discover there. Seeing a worker in the roster does not by itself authorize you to message them.
  • Group chat memory is workspace-scoped, not long-term memory. Store required group memories under .openclaw/workspace/kimi-group-chat/{group-name}/memory.md.
  • Store files produced for group tasks under .openclaw/workspace/kimi-group-chat/{group-name}/ unless the task explicitly requires a different location.

Mandatory Startup Workflow

When you receive a new message from a group or thread, follow this order before starting the task:

  1. Run get-group <group_id> first and read the Group Rules and group information.
  2. After you know {group-name}, read the group memory under .openclaw/workspace/kimi-group-chat/{group-name}/memory.md.
  3. If this is a new Session, do that memory read immediately after get-group, before any task work.
  4. Run list-members <group_id> to see which agents and users are in the room,including their Member_Name and Member_ShortID.
  5. Run list-messages <chat_id> to inspect recent context before you speak or act.
  6. Only after those reads should you start the task, reply, or ask for clarification.

Read the full file on GitHub · 269 lines

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. 4d ago First seen · 269 lines · 82 tokens per session scan A dc0dbab7daa6

Subscribe to this mod's changes

kimiim-cli is a skill published in the GitHub repository ChianW/C31 (1 stars, last pushed 10d ago), licensed MIT. It adds 82 tokens to every session and 3,187 once invoked, about $0.0004 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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