A Feishu OKR tool for managing objectives, key results, cycles, alignment, and progress records. OKRs are goals paired with measurable results used to track work over time.

Listing OKR cycles, viewing goals and results, recording progress, updating entries, and managing alignment between goals.

It keeps goals and progress updates in one place and avoids manually maintaining separate goal documents.

lark-okr — Skill for Claude Code and Codex by appleweiping

Install

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.

Any agent

npx skills add appleweiping/WEIPING_WIKI --skill lark-okr

Clone the repo

git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-okr/github.svg)](https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-okr)

Your own site

<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-okr"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-okr/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-okr"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-okr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,591 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00067	$0.01591
Opus 5	$0.00034	$0.00796
Sonnet 5	$0.00013	$0.00318
Haiku 4.5	$0.00007	$0.00159

Measured 7d ago against content hash eb60b0922e32, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

lark-okr 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 7d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

lark-okr — 100% identical, 0 lines differ
lark-okr — 100% identical, 0 lines differ

skill/lark-cli/skills/lark-okr/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

okr (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

Shortcuts（推荐优先使用）

Shortcut 是对常用操作的高级封装（lark-cli okr +<verb> [flags]）。有 Shortcut 的操作优先使用。

Shortcut	说明
`+cycle-list`	获取特定用户的 OKR 周期列表，可以按时间筛选
`+cycle-detail`	获取特定 OKR 中所有目标和关键结果的内容
`+progress-list`	获取目标或关键结果的所有进展记录列表
`+progress-get`	根据 ID 获取单条 OKR 进展记录
`+progress-create`	为目标或关键结果创建进展记录
`+progress-update`	更新指定 ID 的进展记录内容
`+progress-delete`	删除指定 ID 的进展记录（不可恢复）
`+upload-image`	上传图片用于 OKR 进展记录的富文本内容

格式说明

OKR 业务实体 获取 OKR 实体结构，定义和关系，帮助你更好的使用 OKR 功能
ContentBlock 富文本格式 — Objective/KeyResult/Progress 中 Content/Note 字段使用的富文本格式说明
强烈建议 在操作 OKR 前，阅读OKR 业务实体以了解基础概念

API Resources

lark-cli schema okr.<resource>.<method>   # 调用 API 前必须先查看参数结构
lark-cli okr <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！

alignments

delete — 删除对齐关系
get — 获取对齐关系

cycles

list — 批量获取用户周期
objectives_position — 更新用户周期下全部目标的位置
- 请求中必须同时修改对应周期下全部目标的位置，且不允许位置重叠，否则会参数校验失败。
objectives_weight — 更新用户周期下全部目标的权重
- 请求中必须同时修改对应周期下全部目标的权重，且所有权重值的和必须等于 1 ，否则会参数校验失败。

cycle.objectives

create — 创建目标
list — 批量获取用户周期下的目标

Read the full file on GitHub · 134 lines

Files

What ships with it

10 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.

Changes

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.

7d ago First seen · 134 lines · 67 tokens per session scan A eb60b0922e32

Subscribe to this mod's changes

lark-okr is a skill published in the GitHub repository appleweiping/WEIPING_WIKI (122 stars, last pushed 15d ago), licensed MIT. It adds 67 tokens to every session and 1,591 once invoked, about $0.0003 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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