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 AgenticAIPlan/AgenticAISkills --skill wecom-group-invitegit clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkillsWrote 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/agenticaiplan/agenticaiskills/wecom-group-invite)<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/wecom-group-invite"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/wecom-group-invite/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/agenticaiplan/agenticaiskills/wecom-group-invite"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/wecom-group-invite.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 | $0.00034 | $0.00519 |
| Opus 5 | $0.00017 | $0.00260 |
| Sonnet 5 | $0.00007 | $0.00104 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
wecom-group-invite 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 11d 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
企业微信口令入群 Skill
适用场景
当社群运营人员收到用户在企业微信聊天窗口发送的入群口令（如 "OCR"、"LLM"、"RAG"）后，需要快速查找对应技术交流群的邀请链接或活码，并生成标准回复话术时，使用本 Skill。
输入要求
- 用户发送的入群口令关键词（支持文本输入或从截图 OCR 提取）
- 运营人员提供的真实口令与群映射表。公开仓库中的
references/groups.sample.json只作为字段格式示例，不能直接用于回复用户。
执行步骤
- 从用户输入中提取入群口令关键词。若输入为截图，先用系统 OCR 识别文字后提取口令。
- 对口令做归一化处理：去除首尾空白，统一转为大写。
- 读取运营人员提供的真实映射表，用归一化后的口令作为 key 查表。
- 如果只有
references/groups.sample.json或映射值仍是占位符，停止回复邀请链接，并提示运营先提供真实私有映射表。 - 若命中，按「输出要求」格式返回群信息与回复话术。
- 若未命中，提示未找到该口令，并列出真实映射表中的可用口令供运营核对。
输出要求
-
输出包含三个字段：群名称、邀请方式（链接或活码图片路径）、建议回复话术
-
格式如下：
群名称：{name} 邀请方式：{invite} 建议回复： --- {reply_template} --- -
若邀请方式为本地活码图片路径，需额外提示运营从该路径取图上传
-
不发起任何网络请求，不调用企业微信 API
-
不自动修改映射表
参考资料
references/groups.sample.json 展示映射表字段格式。真实群链接、活码路径和回复话术应由运营人员在私有配置或运行时输入中维护，不要提交到公开仓库。
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.
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.
- 11d ago First seen · 47 lines · 34 tokens per session scan A 6eec1af1bce6
wecom-group-invite is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 519 once invoked, about $0.0002 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 2026-08-30.
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