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 CavinHuang/lume --skill wecom-cligit clone --depth 1 https://github.com/CavinHuang/lumeWrote 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/cavinhuang/lume/wecom-cli)<a href="https://agentmods.dev/skills/cavinhuang/lume/wecom-cli"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/wecom-cli/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.
<a href="https://agentmods.dev/skills/cavinhuang/lume/wecom-cli"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/wecom-cli.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00038 | $0.00432 |
| Opus 5.5 | $0.00015 | $0.00173 |
| Sonnet 5.5 | $0.00008 | $0.00086 |
| Haiku 4.5 | $0.00004 | $0.00043 |
Grade A, and why
企业微信 IM 操作 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.
What it actually says
企业微信 CLI(wecom-cli)操作手册
通过 wecom_cli 工具执行企业微信 CLI 子命令。工具签名:command(子命令)+ args(参数数组)。
授权(首次必做)
企微 CLI 使用 init 命令初始化授权,用户须在 Lume IM 设置中完成。
- 检查状态:具体子命令以
--help为准 - 发起授权:
command="init",args=["--noninteractive", "--no-open"](返回登录 URL,用户浏览器打开)
未授权时工具结果会含 guidance 字段,提示去设置授权。
能力域
wecom-cli 能力域。子命令可能随版本变化,优先用 command="<域>", args=["--help"] 动态确认参数:
| 能力域 | 典型用途 |
|---|---|
| message | 发送应用消息、工作通知 |
| contact | 查询通讯录、组织架构 |
| media | 上传 / 读取临时素材 |
| app | 应用管理 |
使用要点
- 先确认授权状态;未授权时停止并提示用户去设置授权。
- 不确定参数时,对目标子命令加
--help探索,不要猜测参数。 - 发消息等写操作是真实企业行为,确认目标接收人与内容后再执行。
- 结果为结构化 JSON(
wecom_cli返回 stdout);解析失败时检查stderr与exitCode。
注:企业微信 CLI license 待最终确认;授权方式以实际
--help输出为准。
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.
- 1mo ago First seen · 40 lines · 38 tokens per session scan A a7064a946f06
企业微信 IM 操作 is a skill published in the GitHub repository CavinHuang/lume (3 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 432 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.
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