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 ntygod/ZhiWei --skill feishugit clone --depth 1 https://github.com/ntygod/ZhiWeiWrote 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/ntygod/zhiwei/feishu)<a href="https://agentmods.dev/skills/ntygod/zhiwei/feishu"><img src="https://agentmods.dev/badge/skills/ntygod/zhiwei/feishu/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/ntygod/zhiwei/feishu"><img src="https://agentmods.dev/badge/skills/ntygod/zhiwei/feishu.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.00560 |
| Opus 5.5 | $0.00012 | $0.00224 |
| Sonnet 5.5 | $0.00006 | $0.00112 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
feishu scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- 邮件发送 → `shell_exec` + curl What it actually says
飞书集成指南
channel.feishu 工具按 action 路由飞书各类操作，必须传 instanceId（用户配置过的飞书渠道实例）。
适用场景
- 飞书消息发送（个人 / 群组 / 富文本卡片）
- 飞书任务创建与管理
- 飞书文档创建 / 分享 / 内容操作
- 飞书日程查询 / 创建
- 飞书群管理（创建 / 加成员 / 设置）
不适用场景
- 邮件发送 →
shell_exec+ curl - 钉钉 / 企业微信 → 对应渠道 Skill
- 纯文档撰写不发飞书 → content-creator
- 知微对话内通知用户 → 直接说就行（或
notify）
工作流
| 用户表达 | 路径 |
|---|---|
| 发消息 / 卡片 / 回复 / 改 / 撤 | send_message / send_card / reply_message / update_message / recall_message |
| 上传 / 下载文件 | upload_file / download_file |
| 任务 / 文档 / 日程 | create_task / create_document / create_calendar_event |
| 建群 / 改群成员 | create_group / manage_members |
各路径要点：
- instanceId 优先：未配置直接提示用户去渠道实例配置页，不要伪造、不要重试
- 收件人类型对齐：
receiveIdType必须和targetId实际类型一致（chat_id / open_id / user_id），错配会直接 4xx - 二次确认：撤回消息、创建群、改群成员、含敏感信息的发送，发起前先把目标 + 内容摘要给用户、等确认
- 失败给原因：限流 / 权限不足 / 收件人不存在分别有不同错误码，参考表里有对照
详细参考
- 完整 action 参数清单与示例：
{skill_dir}/references/actions-reference.md
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.
- 1mo ago First seen · 55 lines · 29 tokens per session scan A 0b450c22e82d
feishu is a skill published in the GitHub repository ntygod/ZhiWei (137 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 560 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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