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-troubleshootWrote 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-troubleshoot)<a href="https://agentmods.dev/skills/cklxx/elephant.ai/feishu-troubleshoot"><img src="https://agentmods.dev/badge/skills/cklxx/elephant.ai/feishu-troubleshoot/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-troubleshoot"><img src="https://agentmods.dev/badge/skills/cklxx/elephant.ai/feishu-troubleshoot.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 | $0.00023 | $0.00726 |
| Opus 5 | $0.00012 | $0.00363 |
| Sonnet 5 | $0.00005 | $0.00145 |
| Haiku 4.5 | $0.00002 | $0.00073 |
Grade A, and why
feishu-troubleshoot 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 12d 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
飞书问题排查
常见问题（FAQ）
授权相关
Token 过期
- 现象：API 调用返回
99991668或99991672 - 解决：重新执行 OAuth 授权流程
权限不足
- 现象：API 返回
99991400或99991403 - 解决：检查应用是否开通了所需的 API 权限，参考下方权限对照表
Refresh Token 过期
- 现象：刷新 token 时返回错误
- 解决：需要重新走完整 OAuth 流程
权限对照表
| 功能模块 | 所需权限 scope |
|---|---|
| 日历读写 | calendar:calendar, calendar:calendar:readonly |
| 文档读写 | docx:document, docx:document:readonly |
| 多维表格 | bitable:app, bitable:app:readonly |
| 任务管理 | task:task, task:task:readonly |
| 通讯录 | contact:user.base:readonly, contact:department.base:readonly |
| 消息读写 | im:message, im:message:readonly |
| 云盘 | drive:drive, drive:drive:readonly |
| Wiki | wiki:wiki, wiki:wiki:readonly |
| 邮件 | mail:mailgroup, mail:mailgroup:readonly |
API 调用问题
频率限制
- 飞书 API 有频率限制，通常 100 次/秒
- 批量操作建议串行 + 延迟 0.5-1 秒
字段值格式错误
- 参考
skills/feishu-bitable/references/record-values.md
诊断命令
# 查看授权状态
python3 skills/feishu-cli/run.py '{"action":"auth","subcommand":"status"}'
# 查看可用模块
python3 skills/feishu-cli/run.py '{"action":"help","topic":"modules"}'
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.
- 12d ago First seen · 72 lines · 23 tokens per session scan A b2382c4612f0
feishu-troubleshoot is a skill published in the GitHub repository cklxx/elephant.ai (11 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 726 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.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
systematic-debugging
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
diagnose
Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.
repro-admin
Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…
byted-util-volcengine-detect-retry
An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.