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 appleweiping/WEIPING_WIKI --skill feishu-bridgegit clone --depth 1 https://github.com/appleweiping/WEIPING_WIKIWrote 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/appleweiping/weiping_wiki/feishu-bridge)<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/feishu-bridge"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/feishu-bridge/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/appleweiping/weiping_wiki/feishu-bridge"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/feishu-bridge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 48 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00129 | $0.00905 |
| Opus 5.5 | $0.00052 | $0.00362 |
| Sonnet 5.5 | $0.00026 | $0.00181 |
| Haiku 4.5 | $0.00013 | $0.00090 |
Grade A, and why
feishu-bridge 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feishu Bridge
Use this as the router for Feishu/Lark work. Prefer official lark-cli API access whenever a task can be expressed as Docs/Wiki/Drive/Base/Sheets/IM/Calendar/etc. Use chrome-automation only for web-only flows such as opening arbitrary shared links, pages that require the user's live browser login state, or filling interactive forms.
Local Runtime
Use the verified D-drive binary first:
$LARK_CLI = "D:\Research\vipin's knowledgebase\.wiki-tmp\tools\lark-cli\v1.0.32\bin\lark-cli.exe"
& $LARK_CLI --version
Installed version: lark-cli 1.0.32, from larksuite/cli release v1.0.32.
Routing
- Read
lark-shared/SKILL.mdbefore configuring, logging in, switching identities, or handling scope errors. - If the user gives a Feishu/Lark document or asks to read/summarize/update a doc, use
lark-doc. For docs v2 commands, always pass--api-version v2. - If the user asks about a knowledge base / wiki node, use
lark-wiki. - If the user asks to search, upload, download, find a file, manage comments, or discover cloud objects, use
lark-drivefirst. - If a document contains an embedded spreadsheet or bitable, extract the token and switch to
lark-sheetsorlark-baserather than stopping at the embedded tag. - If the user asks to read/write a multi-dimensional table / 多维表格 / bitable, use
lark-base. - If the user asks to send, reply, search, or inspect messages, use
lark-im, and dry-run risky sends before execution. - If the user gives a web link that cannot be cleanly handled by token/API, or asks to fill fields/buttons on a Feishu page/form, use
chrome-automationwith the D-driveagent-browserruntime.
Authentication
Assume personal user OAuth by default. Use bot identity only when the user explicitly asks for bot/app behavior.
Typical setup:
& $LARK_CLI config init --new
& $LARK_CLI auth login --recommend
& $LARK_CLI auth status
When config init or auth login emits a verification URL, forward the raw URL exactly as returned. Do not re-encode or rewrite it. If OAuth is not completed in the current session, report API read/write tests as blocked by user authorization rather than claiming success.
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 · 61 lines · 129 tokens per session scan A f2abb103f2f7
feishu-bridge is a skill published in the GitHub repository appleweiping/WEIPING_WIKI (117 stars, last pushed 1mo ago), licensed MIT. It adds 129 tokens to every session and 905 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-03.
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feishu
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Find Gmail messages with attachments and save them to a Google Drive folder.
material-organizer
Organize only the materials the user has already provided or explicitly pointed to. The job is to make messy inputs easier to scan, reuse, archive, or continue from later while preserving source traceability.