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-taskWrote 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-task)<a href="https://agentmods.dev/skills/cklxx/elephant.ai/feishu-task"><img src="https://agentmods.dev/badge/skills/cklxx/elephant.ai/feishu-task/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-task"><img src="https://agentmods.dev/badge/skills/cklxx/elephant.ai/feishu-task.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 | $0.00026 | $0.00819 |
| Opus 5 | $0.00013 | $0.00409 |
| Sonnet 5 | $0.00005 | $0.00164 |
| Haiku 4.5 | $0.00003 | $0.00082 |
Grade A, and why
feishu-task 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 9d 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 Task Skill
快速索引
| 用户意图 | module | tool_action | 必填参数 |
|---|---|---|---|
| 列出任务 | task | list | - |
| 创建任务 | task | create | summary |
| 更新任务 | task | update | task_id + 字段 |
| 删除任务 | task | delete | task_id |
| 列出子任务 | task | list_subtasks | parent_task_id |
| 创建子任务 | task | create_subtask | task_id, summary |
调用示例
创建任务
python3 skills/feishu-cli/run.py '{
"action": "tool",
"module": "task",
"tool_action": "create",
"summary": "完成 Q1 OKR 回顾",
"due_date": "2026-03-15",
"description": "回顾 Q1 各项 KR 的完成情况",
"assignee_ids": ["ou_xxx"]
}'
列出任务
python3 skills/feishu-cli/run.py '{"action":"tool","module":"task","tool_action":"list"}'
完成任务
# 通过 complete 动作直接标记完成（推荐）
python3 skills/feishu-cli/run.py '{
"action": "tool",
"module": "task",
"tool_action": "complete",
"task_id": "t_xxx"
}'
创建子任务
python3 skills/feishu-cli/run.py '{
"action": "tool",
"module": "task",
"tool_action": "create_subtask",
"task_id": "t_xxx",
"summary": "整理 KR1 数据"
}'
核心约束
- 需要 user OAuth token：task 模块操作基于用户身份，需先完成 OAuth 授权（
auth oauth_url→ 登录 →auth exchange_code） - due_date 格式：支持
"2026-03-15"或"2026-03-15 18:00"等字符串 - assignee_ids: 指派人 open_id（
ou_开头），数组格式 - 任务状态: 完成用
complete动作；撤销完成用uncomplete动作；update不支持 status 字段 - 只能操作有权限的任务：作为成员的任务
- 重复规则: 只有设置了截止时间的任务才能设置重复规则
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.
- 9d ago First seen · 89 lines · 26 tokens per session scan A 0a910f1edae3
feishu-task is a skill published in the GitHub repository cklxx/elephant.ai (11 stars, last pushed 5mo ago), licensed MIT. It adds 26 tokens to every session and 819 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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