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 ddpie/lark-mcp-on-agentcore --skill lark-okrgit clone --depth 1 https://github.com/ddpie/lark-mcp-on-agentcoreWrote 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/ddpie/lark-mcp-on-agentcore/lark-okr)<a href="https://agentmods.dev/skills/ddpie/lark-mcp-on-agentcore/lark-okr"><img src="https://agentmods.dev/badge/skills/ddpie/lark-mcp-on-agentcore/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.
<a href="https://agentmods.dev/skills/ddpie/lark-mcp-on-agentcore/lark-okr"><img src="https://agentmods.dev/badge/skills/ddpie/lark-mcp-on-agentcore/lark-okr.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 | $0.00087 | $0.01643 |
| Opus 5 | $0.00044 | $0.00822 |
| Sonnet 5 | $0.00017 | $0.00329 |
| Haiku 4.5 | $0.00009 | $0.00164 |
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 10d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
okr (v2)
身份：OKR 操作默认以用户身份执行（查看当前用户/上下级的 OKR）。⚠️ 查看他人 OKR 需要 bot identity，MCP server 不提供该能力。
Shortcuts（推荐优先使用）
Shortcut 是对常用操作的高级封装。有 Shortcut 的操作优先使用。
| Shortcut | 说明 |
|---|---|
lark_okr_cycle_list (参见 lark_get_skill(domain="okr", section="cycle-list")) |
获取特定用户的 OKR 周期列表，可以按时间筛选 |
lark_okr_cycle_detail (参见 lark_get_skill(domain="okr", section="cycle-detail")) |
获取特定 OKR 中所有目标和关键结果的内容 |
lark_okr_progress_list (参见 lark_get_skill(domain="okr", section="progress-list")) |
获取目标或关键结果的所有进展记录列表 |
lark_okr_progress_get (参见 lark_get_skill(domain="okr", section="progress-get")) |
根据 ID 获取单条 OKR 进展记录 |
lark_okr_progress_create (参见 lark_get_skill(domain="okr", section="progress-create")) |
为目标或关键结果创建进展记录 |
lark_okr_progress_update (参见 lark_get_skill(domain="okr", section="progress-update")) |
更新指定 ID 的进展记录内容 |
lark_okr_progress_delete (参见 lark_get_skill(domain="okr", section="progress-delete")) |
删除指定 ID 的进展记录（不可恢复） |
lark_okr_upload_image (参见 lark_get_skill(domain="okr", section="image-upload")) |
上传图片用于 OKR 进展记录的富文本内容 |
lark_okr_batch_create (参见 lark_get_skill(domain="okr", section="batch-create")) |
批量创建 Objective 和 KR |
lark_okr_reorder (参见 lark_get_skill(domain="okr", section="reorder")) |
调整 Objective 或 KR 的顺位 |
lark_okr_weight (参见 lark_get_skill(domain="okr", section="weight")) |
调整 Objective 或 KR 的权重 |
lark_okr_indicator_update (参见 lark_get_skill(domain="okr", section="indicator-update")) |
更新 Objective 或 KR 的指标当前值（简单场景推荐）。更复杂的指标操作见 lark_get_skill(domain="okr", section="indicators") |
lark_okr_patch (参见 lark_get_skill(domain="okr", section="patch")) |
部分更新 Objective 或 KR（content、notes、score、deadline） |
What ships with it
17 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 5.1 KB
- references/lark-okr-batch-create.md 2.3 KB
- references/lark-okr-contentblock.md 13 KB
- references/lark-okr-cycle-detail.md 3.0 KB
- references/lark-okr-cycle-list.md 3.4 KB
- references/lark-okr-entities.md 20 KB
- references/lark-okr-image-upload.md 3.1 KB
- references/lark-okr-indicator-update.md 2.9 KB
- references/lark-okr-indicators.md 9.0 KB
- references/lark-okr-patch.md 5.4 KB
- references/lark-okr-progress-create.md 5.0 KB
- references/lark-okr-progress-delete.md 1.0 KB
- references/lark-okr-progress-get.md 3.3 KB
- references/lark-okr-progress-list.md 2.9 KB
- references/lark-okr-progress-update.md 3.9 KB
- references/lark-okr-reorder.md 2.0 KB
- references/lark-okr-weight.md 3.3 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.
- 10d ago First seen · 114 lines · 87 tokens per session scan A 4e8c25a0f59f
lark-okr is a skill published in the GitHub repository ddpie/lark-mcp-on-agentcore (8 stars, last pushed 13d ago), licensed MIT. It adds 87 tokens to every session and 1,643 once invoked, about $0.0004 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 2026-08-31.
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