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 lark-approvalgit 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/lark-approval)<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-approval"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-approval/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/lark-approval"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-approval.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 | $0.00017 | $0.00513 |
| Opus 5 | $0.00009 | $0.00257 |
| Sonnet 5 | $0.00003 | $0.00103 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
lark-approval 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 6d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- lark-approval — 100% identical, 0 lines differ
- lark-approval — 100% identical, 0 lines differ
What it actually says
approval (v4)
CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md，其中包含认证、权限处理
API Resources
lark-cli schema approval.<resource>.<method> # 调用 API 前必须先查看参数结构
lark-cli approval <resource> <method> [flags] # 调用 API
重要：使用原生 API 时，必须先运行
schema查看--data/--params参数结构，不要猜测字段格式。
instances
get— 获取单个审批实例详情cancel— 撤回审批实例cc— 抄送审批实例initiated— 查询用户的已发起列表
tasks
remind— 催办审批人approve— 同意审批任务reject— 拒绝审批任务transfer— 转交审批任务query— 查询用户的任务列表add_sign— 审批任务加签rollback— 退回审批任务
权限表
| 方法 | 所需 scope |
|---|---|
instances.get |
approval:instance:read |
instances.cancel |
approval:instance:write |
instances.cc |
approval:instance:write |
instances.initiated |
approval:instance:read |
tasks.remind |
approval:instance:write |
tasks.approve |
approval:task:write |
tasks.reject |
approval:task:write |
tasks.transfer |
approval:task:write |
tasks.query |
approval:task:read |
tasks.add_sign |
approval:task:write |
tasks.rollback |
approval:task:write |
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.
- 6d ago First seen · 57 lines · 17 tokens per session scan A 3509dff2cf16
lark-approval is a skill published in the GitHub repository appleweiping/WEIPING_WIKI (122 stars, last pushed 15d ago), licensed MIT. It adds 17 tokens to every session and 513 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 2026-09-03.
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