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 skills add yokingma/weclaws --skill lark-imgit clone --depth 1 https://github.com/yokingma/weclawsWrote 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/skills/yokingma/weclaws/lark-im)<a href="https://agentmods.dev/skills/yokingma/weclaws/lark-im"><img src="https://agentmods.dev/badge/skills/yokingma/weclaws/lark-im.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 5.1 | $0.00087 | $0.02878 |
| Opus 5 | $0.00044 | $0.01439 |
| Sonnet 5 | $0.00017 | $0.00576 |
| Haiku 4.5 | $0.00009 | $0.00288 |
Grade A, and why
lark-im 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 7d 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.
This is a copy
100% identical to lark-im — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
im (v1)
CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md,其中包含认证、权限处理
Core Concepts
- Message: A single message in a chat, identified by
message_id(om_xxx). Supports types: text, post, image, file, audio, video, sticker, interactive (card), share_chat, share_user, merge_forward, etc. - Chat: A group chat or P2P conversation, identified by
chat_id(oc_xxx). - Thread: A reply thread under a message, identified by
thread_id(om_xxx or omt_xxx). - Reaction: An emoji reaction on a message.
- Flag: A bookmark on a message or thread.
Resource Relationships
Chat (oc_xxx)
├── Message (om_xxx)
│ ├── Thread (reply thread)
│ ├── Reaction (emoji)
│ └── Resource (image / file / video / audio)
└── Member (user / bot)
Important Notes
Identity and Token Mapping
--as usermeans user identity and usesuser_access_token. Calls run as the authorized end user, so permissions depend on both the app scopes and that user's own access to the target chat/message/resource.--as botmeans bot identity and usestenant_access_token. Calls run as the app bot, so behavior depends on the bot's membership, app visibility, availability range, and bot-specific scopes.- If an IM API says it supports both
userandbot, the token type changes who the operator is. The same API can succeed with one identity and fail with the other because owner/admin status, chat membership, tenant boundary, or app availability are checked against the current caller.
Sender Name Resolution with Bot Identity
When using bot identity (--as bot) to fetch messages (e.g. +chat-messages-list, +threads-messages-list, +messages-mget), sender names may not be resolved (shown as open_id instead of display name). This happens when the bot cannot access the user's contact info.
Root cause: The bot's app visibility settings do not include the message sender, so the contact API returns no name.
What ships with it
16 files 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.
- references/lark-im-chat-create.md 7.8 KB
- references/lark-im-chat-identity.md 3.1 KB
- references/lark-im-chat-list.md 4.6 KB
- references/lark-im-chat-messages-list.md 7.4 KB
- references/lark-im-chat-search.md 7.0 KB
- references/lark-im-chat-update.md 3.2 KB
- references/lark-im-flag-cancel.md 2.7 KB
- references/lark-im-flag-create.md 2.6 KB
- references/lark-im-flag-list.md 3.8 KB
- references/lark-im-messages-mget.md 3.4 KB
- references/lark-im-messages-reply.md 11 KB
- references/lark-im-messages-resources-download.md 4.7 KB
- references/lark-im-messages-search.md 11 KB
- references/lark-im-messages-send.md 12 KB
- references/lark-im-reactions.md 9.7 KB
- references/lark-im-threads-messages-list.md 4.7 KB
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.
- 7d ago First seen · 163 lines · 87 tokens per session scan A 616e4093572a
lark-im is a skill published in the GitHub repository yokingma/weclaws (38 stars, last pushed 3mo ago), licensed MIT. It adds 87 tokens to every session and 2,878 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to lark-im, differing in 1 line, and is treated as a copy.
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