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 agentmods add skills/yokingma/weclaws/lark-tasknpx skills add yokingma/weclaws --skill lark-taskgit clone --depth 1 https://github.com/yokingma/weclawsWrote 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/yokingma/weclaws/lark-task)<a href="https://agentmods.dev/skills/yokingma/weclaws/lark-task"><img src="https://agentmods.dev/badge/skills/yokingma/weclaws/lark-task.svg" alt="Measured on agentmods" 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 | $0.00125 | $0.02776 |
| Opus 5 | $0.00063 | $0.01388 |
| Sonnet 5 | $0.00025 | $0.00555 |
| Haiku 4.5 | $0.00013 | $0.00278 |
Grade A, and why
lark-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 4d 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.
This is a copy
100% identical to lark-task — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
task (v2)
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
任务搜索技巧:先区分用户是否特地指定使用搜索 skill,以及是否真的提供了查询关键字(例如任务名称、关键词、片段描述)。如果用户特地指定使用搜索 skill,或明确给出了任务查询关键字,则目标是任务时优先使用
+search。如果用户没有特地指定使用搜索 skill,且意图里没有查询关键字,只有范围条件(例如“今年以来”“已完成”“由我创建”“我关注的”),并且使用+search与+get-related-tasks/+get-my-tasks都能达到目的时,应优先使用列表型能力,而不是搜索型能力。其中,“与我相关 / 我关注的 / 由我创建”等优先考虑+get-related-tasks;“我负责的 / 分配给我”的列表优先考虑+get-my-tasks。不要把时间范围词(例如“今年以来”)本身误当成query去走搜索。 任务清单搜索技巧:任务清单也遵循同样的判断逻辑。先区分用户是否特地指定使用搜索 skill,以及是否真的提供了清单查询关键字(例如清单名称、关键词、片段描述)。如果用户特地指定使用搜索 skill,或明确给出了清单查询关键字,则优先使用+tasklist-search。如果用户没有特地指定使用搜索 skill,且意图里没有查询关键字,只有范围条件(例如“由我创建的任务清单”“今年以来创建的清单”),并且使用搜索或原生列取清单都能达到目的时,应优先使用原生tasklists.list接口列取清单(先schema task.tasklists.list,再lark-cli task tasklists list --as user ...),再按creator、created_at等字段做本地筛选和分页控制。 意图区分补充:像“搜索飞书中今年以来我关注的任务”这类表达,虽然字面带有“搜索”,但如果没有真正的查询关键字,且本质是在限定“与我相关 + 时间范围”,则应优先走+get-related-tasks;像“搜索飞书中由我创建的任务清单”这类表达,如果没有清单关键字,且本质是在限定“清单范围 + 创建者”,则应优先走原生tasklists.list后筛选,而不是直接走搜索型 shortcut。 用户身份识别:在用户身份(user identity)场景下,如果用户提到了“我”(例如“分配给我”、“由我创建”),请默认获取当前登录用户的open_id作为对应的参数值。 术语理解:如果用户提到 “todo”(待办),应当思考其是否是指“task”(任务),并优先尝试使用本 Skill 提供的命令来处理。 友好输出:在输出任务(或清单)的执行结果给用户时,建议同时提取并输出命令返回结果中的url字段(任务链接),以便用户可以直接点击跳转查看详情。
创建/更新注意:
- 只有在设置了
due(截止时间)的情况下,才能设置repeat_rule(重复规则)和reminder(提醒时间)。- 若同时设置了
start(开始时间)和due(截止时间),开始时间必须小于或等于截止时间。- 使用 tenant_access_token(应用身份)时,无法跨租户添加任务成员。
查询注意:
- 在输出任务详情时,如果需要渲染负责人、创建人等人员字段,除了展示
id(例如 open_id) 外,还必须通过其他方式(例如调用通讯录技能)尝试获取并展示这个人的真实名字,以便用户更容易识别。- 在输出清单详情时,如果需要渲染 owner、member、角色成员等人员字段,也必须像任务成员展示一样,除了展示
id外,尽量解析并展示对应人员的真实名字。- 在输出任务或清单详情时,如果需要渲染创建时间、截止时间等字段,需要使用本地时区来渲染(格式为2006-01-02 15:04:05)。
Task GUID 定义: Task OpenAPI 中用于更新/操作任务的
guid是任务的全局唯一标识(GUID),不是客户端展示的任务编号(例如t104121/suite_entity_num)。 对于 Feishu 的任务 applink(例如.../client/todo/task?guid=...),必须使用 URL query 里的guid参数作为 task guid。
What ships with it
18 files 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.
- references/lark-task-assign.md 1.4 KB
- references/lark-task-comment.md 902 B
- references/lark-task-complete.md 740 B
- references/lark-task-create.md 2.7 KB
- references/lark-task-followers.md 1.2 KB
- references/lark-task-get-my-tasks.md 2.9 KB
- references/lark-task-get-related-tasks.md 2.9 KB
- references/lark-task-reminder.md 1.5 KB
- references/lark-task-reopen.md 740 B
- references/lark-task-search.md 1.5 KB
- references/lark-task-set-ancestor.md 966 B
- references/lark-task-subscribe-event.md 2.7 KB
- references/lark-task-tasklist-create.md 1.3 KB
- references/lark-task-tasklist-members.md 1.2 KB
- references/lark-task-tasklist-search.md 1.4 KB
- references/lark-task-tasklist-task-add.md 1.5 KB
- references/lark-task-update.md 1.4 KB
- references/lark-task-upload-attachment.md 3.1 KB
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.
- 4d ago First seen · 166 lines · 125 tokens per session scan A de46893379ad
lark-task is a skill published in the GitHub repository yokingma/weclaws (38 stars, last pushed 3mo ago), licensed MIT. It adds 125 tokens to every session and 2,776 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to lark-task, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
wxjava-module-selector
根据微信公众号、小程序、微信支付、企业微信、开放平台、视频号或微信小店、腾讯企点和微信智能对话等业务场景,为用户选择合适的 WxJava Maven 模块、BOM 和示例入口。适用于用户询问“该用哪个模块”、依赖坐标、产品边界或单/多账号 Starter 选择时。.
wxjava-troubleshooter
排查 WxJava 在配置初始化、access token、签名验签、支付证书、回调通知、序列化、网络请求和多账号隔离方面的问题。适用于用户提供异常、日志、请求响应或“WxJava 为什么不能调用”的场景。.
wxjava-api-contributor
按 WxJava 的 Maven 多模块、Java 8、公共 API 兼容性和 TestNG 约定,为微信官方接口新增或维护 SDK 支持。适用于新增 Service API、请求响应 Bean、序列化、HTTP 实现、Starter 配置或回归测试时。.
wxjava-integration-guide
为 Java、Spring Boot 或 Solon 项目生成可验证的 WxJava 接入方案,包括模块选择、BOM、配置、最小调用代码以及单/多账号集成。适用于用户要求接入公众号、小程序、支付、企业微信、开放平台、视频号或微信小店时。.
wxjava-upgrade-guide
规划 WxJava 的版本升级与迁移,检查 BOM、模块依赖、Java 版本、配置与公共 API 兼容性,并提供可回滚的验证步骤。适用于用户从旧版升级、切换依赖管理方式、处理兼容性告警或制定升级发布计划时。.
ceo-setup
One-time onboarding for the executive/manager commitment workflow — delegation-heavy, meeting prep, decision capture, morning and evening digests. Creates a commitments project and installs two dashboard widgets. After successful setup this skill is excluded from selection until the marker file is deleted.