Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/cklxx/elephant.ainpx agentmods add skills/cklxx/elephant.ai/feishu-im-readWrote 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/cklxx/elephant.ai/feishu-im-read)<a href="https://agentmods.dev/skills/cklxx/elephant.ai/feishu-im-read"><img src="https://agentmods.dev/badge/skills/cklxx/elephant.ai/feishu-im-read/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/cklxx/elephant.ai/feishu-im-read"><img src="https://agentmods.dev/badge/skills/cklxx/elephant.ai/feishu-im-read.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 | $0.00028 | $0.00664 |
| Opus 5 | $0.00014 | $0.00332 |
| Sonnet 5 | $0.00006 | $0.00133 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
feishu-im-read 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
Feishu IM Read Skill
快速索引
| 用户意图 | module | tool_action | 必填参数 |
|---|---|---|---|
| 发送消息 | message | send_message | chat_id/user_id, content |
| 读取消息历史 | message | history | chat_id |
| 上传文件 | message | upload_file | source, file_type |
调用示例
发送消息
python3 skills/feishu-cli/run.py '{
"action": "tool",
"module": "message",
"tool_action": "send_message",
"chat_id": "oc_xxx",
"content": "Hello! 这是一条测试消息"
}'
读取消息历史
python3 skills/feishu-cli/run.py '{
"action": "tool",
"module": "message",
"tool_action": "history",
"chat_id": "oc_xxx",
"start_time": "2026-03-01",
"end_time": "2026-03-10",
"page_size": 20
}'
核心约束
- chat_id: 群聊 ID（
oc_开头）；必填——可通过参数直传，或由环境变量LARK_CHAT_ID自动注入（Lark channel 中默认已注入） - user_id: 用户 open_id（
ou_开头），用于私聊 - 消息类型: 支持 text、post（富文本）、image、file 等
- 分页: 使用
page_token和page_size进行分页 - 时间过滤:
start_time和end_time支持日期字符串
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 · 68 lines · 28 tokens per session scan A 8b6cf234ea4a
feishu-im-read is a skill published in the GitHub repository cklxx/elephant.ai (11 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 664 once invoked, about $0.0001 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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