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/dropfan/claude-code-plugins/lark-okrnpx skills add DropFan/claude-code-plugins --skill lark-okrgit clone --depth 1 https://github.com/DropFan/claude-code-pluginsWhat 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 | $0.00087 | $0.02833 |
| Opus 5 | $0.00044 | $0.01417 |
| Sonnet 5 | $0.00017 | $0.00567 |
| Haiku 4.5 | $0.00009 | $0.00283 |
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 3d 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
97% identical to lark-okr — 76 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚙️ Cowork / Claude Desktop 执行环境说明（自动注入）
本技能依赖本地
lark-cli（@larksuite/cli，可用command -v lark-cli定位）及其~/.lark-cli登录态（应用密钥存于 macOS keychain）。在 Cowork 中运行任何
lark-cli命令时，必须在本地 macOS 上执行（使用 Desktop Commander 的start_process/interact_with_process，或其它本地 shell 工具），不要用隔离的 Linux 沙箱mcp__workspace__bash——沙箱里没有 lark-cli、也读不到 keychain。 执行前确保 npm 全局 bin 目录（npm prefix -g输出目录下的bin）在 PATH 中。（在 Claude Code 中可忽略本说明，lark-cli 在本机 shell 直接可用。）
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
身份：OKR 操作默认使用 --as user（查看当前用户/上下级的 OKR 时）。也支持 --as bot 查看他人 OKR（需相应权限）。
快速决策
| 用户需求 | 操作路径 | 参考文档 |
|---|---|---|
| 查看自己/他人的 OKR | 获取用户 ID -> +cycle-list -> +cycle-detail -> 按需查指标/进展记录 |
cycle-list, cycle-detail, indicators, progress-list |
| 为自己写一组 OKR | 优先用 +batch-create 创建 Objective/KR 骨架 |
batch-create, contentblock |
| 只新增一条 O 或单条 KR | 用 +create |
create |
| 编辑内容/备注/截止时间 | 用 +patch |
patch |
| 修改 OKR 分数 | 只有用户明确说“分数”“评分”“打分”“score”时才用 +patch --score；分数不是进度/完成度 |
patch |
| 调整顺序或权重 | 用 +reorder / +weight |
reorder, weight |
| 更新数字进度/完成度 | 百分比或不带单位数字用 +indicator-update；需要改单位/目标值时查指标后用 indicators patch |
indicator-update, indicators |
| 写文字进展 | 用 +progress-create；如果文本和数字都有，百分比或默认单位可使用 --progress-percent 统一改，非百分比单位更新量化指标 |
progress-create, progress-list, progress-update |
| 对齐目标 | 直接按对齐关系工作流处理 | alignments |
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-okr-alignments.md 5.3 KB
- references/lark-okr-batch-create.md 4.3 KB
- references/lark-okr-contentblock.md 13 KB
- references/lark-okr-create.md 7.4 KB
- references/lark-okr-cycle-detail.md 3.5 KB
- references/lark-okr-cycle-list.md 4.9 KB
- references/lark-okr-entities.md 20 KB
- references/lark-okr-image-upload.md 3.4 KB
- references/lark-okr-indicator-update.md 3.5 KB
- references/lark-okr-indicators.md 11 KB
- references/lark-okr-patch.md 6.1 KB
- references/lark-okr-progress-create.md 5.6 KB
- references/lark-okr-progress-delete.md 1.4 KB
- references/lark-okr-progress-get.md 3.7 KB
- references/lark-okr-progress-list.md 4.0 KB
- references/lark-okr-progress-update.md 4.7 KB
- references/lark-okr-reorder.md 2.6 KB
- references/lark-okr-weight.md 4.0 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.
- 3d ago First seen · 179 lines · 87 tokens per session scan A 316a8cd57ff8
lark-okr is a skill published in the GitHub repository DropFan/claude-code-plugins (7 stars, last pushed 27d ago), licensed MIT. It adds 87 tokens to every session and 2,833 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to lark-okr, differing in 76 lines, and is treated as a copy.
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