lark-attendance
飞书考勤打卡:查询自己的考勤打卡记录
Supply asset profile
Data, BI, and analytics
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add larksuite/cli --skill lark-attendance
Maintenance
fresh
Pushed today
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
17K
89/100 Quality · 81/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
17K GitHub stars
Repo activity
17K stars, 1.3K forks
Maintenance
Pushed today
License
MIT
Install
npx skills add larksuite/cli --skill lark-attendance
Install safety
standard package or runtime install path
Permission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- Quality score needs review
- Permission surface needs review: shell or command execution, network or browser access
- Permission surface: shell or command execution, network or browser access
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Browser automation workflows
- Claude Code teams
- teams that value GitHub adoption signals
- Navigate pages
Suited agents
Install decision
- Command
- npx skills add larksuite/cli --skill lark-attendance
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 73/100
- Audit
- 87/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add larksuite/cli --skill lark-attendanceDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No major risk signals from current metadata
- High-risk permission hints: Shell or command execution
- Permission surface may require sandboxing
Agent safety v2
59/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Database access
Skill may inspect schemas, query databases, or work with persistent stores.
- High-risk permission hints: Shell or command execution
- Permission surface may require sandboxing
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install larksuite-lark-attendanceAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20lark-attendance%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20lark-attendance%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/larksuite-lark-attendance/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use lark-attendance in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lark-attendance%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/larksuite-lark-attendance/install
Install command: npx skills add larksuite/cli --skill lark-attendance
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/larksuite-lark-attendance/install
LLM text format
/api/skills/larksuite-lark-attendance/install?format=text
Find alternatives
/api/skills/search?q=lark-attendance&limit=3
Agent prompt
Use lark-attendance for this task. Review https://www.openagentskill.com/api/skills/larksuite-lark-attendance/install, then install with: npx skills add larksuite/cli --skill lark-attendanceRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/larksuite-lark-attendance
LLM text
/api/registry/manifest/larksuite-lark-attendance?format=text
Install alias
/api/registry/install/larksuite-lark-attendance
Recommend
/api/registry/recommend?task=Use%20lark-attendance%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Platforms
Claude Code
Audit report
Needs review · 87/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Primary pick for Browser automation
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
- Browser automation workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 16,669 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 89/100 quality profile
- 1 OpenAgentSkill engagement events
review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one Browser automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS17K GitHub stars
Stars/forks activity
PASS17K stars, 1.3K forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Large GitHub adoption signal
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Quality score needs review
- Permission surface needs review: shell or command execution, network or browser access
- Permission surface: shell or command execution, network or browser access
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Work with data stores
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Workflow fit
Add it to a complete workflow
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Compare before you install
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Overview
--- name: lark-attendance version: 1.0.0 description: "飞书考勤打卡:查询自己的考勤打卡记录" metadata: requires: bins: ["lark-cli"] cliHelp: "lark-cli attendance --help" ---
# attendance (v1)
**CRITICAL — 开始前 MUST 先用 Read 工具读取 [`../lark-shared/SKILL.md`](../lark-shared/SKILL.md),其中包含认证、权限处理**
## 默认参数自动填充规则
调用任何 API 时,以下参数 **必须自动填充,禁止向用户询问**:
| 参数 | 固定值 | 说明 | |------|--------|------------------------------------| | `employee_type` | `"employee_no"` | `employee_type`始终等于`"employee_no"` | | `user_ids` | `[]`(空数组) | `user_ids`始终等于`[]` |
### 填充示例
当构建 `--params` 参数时,自动注入上述字段: - `employee_type` 保持 `"employee_no"` 不变
当构建 `--data` 参数时,自动注入上述字段: ```json { "user_ids": [], ...用户提供的参数 } ```
> **注意**:`user_ids` 数组保持为空[],`employee_type` 保持 `"employee_no"` 不变。
## API Resources
```bash lark-cli schema attendance.<resource>.<method> # 调用 API 前必须先查看参数结构 lark-cli attendance <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。
### user_tasks
- `query` — 查询用户考勤打卡记录
## 权限表
| 方法 | 所需 scope | |------|-----------| | `user_tasks.query` | `attendance:task:readonly` |
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 23, 2026
- Published
- Aug 23, 2026
Decision snapshot
Primary pick
16,669 GitHub stars
Audit
Install review
Install and adoption review
- Security
- 81/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for lark-attendance, ready for a manual X post.
A practical pick for a repeatable workflow: lark-attendance: 飞书考勤打卡:查询自己的考勤打卡记录 16.7K stars https://www.openagentskill.com/skills/larksuite-lark-attendance?ref=x
Optional reply with install command
Listing + install path for lark-attendance: https://www.openagentskill.com/skills/larksuite-lark-attendance?ref=x Install: npx skills add larksuite/cli --skill lark-attendance
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- larksuite
- Source
- larksuite/cli
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to larksuite but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/larksuite-lark-attendance)
[](https://www.openagentskill.com/skills/larksuite-lark-attendance)
[](https://www.openagentskill.com/skills/larksuite-lark-attendance/audit)
[](https://www.openagentskill.com/skills/larksuite-lark-attendance)Author
larksuite
@larksuite
Tags
Platform fit
Health signals
- GitHub stars
- 16.7K
- Quality score
- 53/100
- Last GitHub push
- Aug 23, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption17K GitHub starsPASS
- Stars/forks activity17K stars, 1.3K forks; issue activity unavailable in current metadataPASS
- Recent maintenancePushed todayPASS
- License clarityMITPASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskcommand execution surface, network or browser surfaceINFO
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