@larksuite
Creator · larksuite
Last updated · Sep 1, 2026
lark-demo
REVIEW · 69Registry indexed
Demo skill
OpenAgentSkill Trust Score
69/100
Sandbox only
Creator · larksuite
Last updated · Sep 1, 2026
Demo skill
Sandbox only
Creator · larksuite
Last updated · Sep 1, 2026
Demo skill
Sandbox only
Creator · larksuite
Last updated · Sep 1, 2026
Demo skill
Sandbox only
Creator · larksuite
Last updated · Sep 1, 2026
Demo skill
Sandbox only
Install targets
Codex install prompt
Install the "lark-demo" agent skill from https://github.com/larksuite/cli/tree/main/internal/qualitygate/skillscan/testdata/skills/lark-demo. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Demo skill After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"larksuite-lark-demo","task":"Install lark-demo","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add larksuite/cli --skill lark-demo
Maintenance
fresh
6d since push
Risk
Needs review
Documentation summary is thin
GitHub quality
17K
83/100 Quality · 77/100 Trust
Coverage tags
Review notes
Documentation summary is thin · Dependency or permission surface needs review
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
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
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
17K GitHub stars
Repo activity
17K stars, 1.4K forks
Maintenance
6d since push
License
MIT
Install
npx skills add larksuite/cli --skill lark-demo
Install safety
Agent-readable metadata
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
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add larksuite/cli --skill lark-demoDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
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-demo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20lark-demo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/larksuite-lark-demo/install
Agent should check
Copy prompt
Task: Use lark-demo in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lark-demo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/larksuite-lark-demo/install
Install command: npx skills add larksuite/cli --skill lark-demo
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
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-demo/install
LLM text format
/api/skills/larksuite-lark-demo/install?format=text
Find alternatives
/api/skills/search?q=lark-demo&limit=3
Agent prompt
Use lark-demo for this task. Review https://www.openagentskill.com/api/skills/larksuite-lark-demo/install, then install with: npx skills add larksuite/cli --skill lark-demoRegistry metadata
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-demo
LLM text
/api/registry/manifest/larksuite-lark-demo?format=text
Install alias
/api/registry/install/larksuite-lark-demo
Recommend
/api/registry/recommend?task=Use%20lark-demo%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
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
Evidence
review first
Implementation path
Trust profile
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, 1.4K forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
--- name: lark-demo description: Demo skill ---
```bash # comment lark-cli docs +fetch --api-version v2 --doc A3Ijdemo lark-cli im messages list \ --container-id oc_xxx \ --page-size 20 npx other-tool ```
Source provenance
Decision snapshot
16,924 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for lark-demo, ready for a manual X post.
Before you hand an agent source-backed research, give it a repeatable starting point. lark-demo: Demo skill 16.9K stars https://www.openagentskill.com/skills/larksuite-lark-demo?ref=x
Listing + install path for lark-demo: https://www.openagentskill.com/skills/larksuite-lark-demo?ref=x Install: npx skills add larksuite/cli --skill lark-demo
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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
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-demo?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larksuite-lark-demo?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larksuite-lark-demo/audit)
[](https://www.openagentskill.com/skills/larksuite-lark-demo?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)larksuite
@larksuite
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Echarts
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67.2K StarsD3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113.1K StarsScientific Agent Skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33.5K StarsSuperset
Apache Superset is a Data Visualization and Data Exploration Platform
74.7K StarsInstall targets
Codex install prompt
Install the "lark-demo" agent skill from https://github.com/larksuite/cli/tree/main/internal/qualitygate/skillscan/testdata/skills/lark-demo. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Demo skill After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"larksuite-lark-demo","task":"Install lark-demo","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add larksuite/cli --skill lark-demo
Maintenance
fresh
6d since push
Risk
Needs review
Documentation summary is thin
GitHub quality
17K
83/100 Quality · 77/100 Trust
Coverage tags
Review notes
Documentation summary is thin · Dependency or permission surface needs review
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
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
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
17K GitHub stars
Repo activity
17K stars, 1.4K forks
Maintenance
6d since push
License
MIT
Install
npx skills add larksuite/cli --skill lark-demo
Install safety
Agent-readable metadata
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
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add larksuite/cli --skill lark-demoDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
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-demo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20lark-demo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/larksuite-lark-demo/install
Agent should check
Copy prompt
Task: Use lark-demo in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lark-demo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/larksuite-lark-demo/install
Install command: npx skills add larksuite/cli --skill lark-demo
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
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-demo/install
LLM text format
/api/skills/larksuite-lark-demo/install?format=text
Find alternatives
/api/skills/search?q=lark-demo&limit=3
Agent prompt
Use lark-demo for this task. Review https://www.openagentskill.com/api/skills/larksuite-lark-demo/install, then install with: npx skills add larksuite/cli --skill lark-demoRegistry metadata
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-demo
LLM text
/api/registry/manifest/larksuite-lark-demo?format=text
Install alias
/api/registry/install/larksuite-lark-demo
Recommend
/api/registry/recommend?task=Use%20lark-demo%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
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
Evidence
review first
Implementation path
Trust profile
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, 1.4K forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
--- name: lark-demo description: Demo skill ---
```bash # comment lark-cli docs +fetch --api-version v2 --doc A3Ijdemo lark-cli im messages list \ --container-id oc_xxx \ --page-size 20 npx other-tool ```
Source provenance
Decision snapshot
16,924 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for lark-demo, ready for a manual X post.
Before you hand an agent source-backed research, give it a repeatable starting point. lark-demo: Demo skill 16.9K stars https://www.openagentskill.com/skills/larksuite-lark-demo?ref=x
Listing + install path for lark-demo: https://www.openagentskill.com/skills/larksuite-lark-demo?ref=x Install: npx skills add larksuite/cli --skill lark-demo
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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
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-demo?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larksuite-lark-demo?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larksuite-lark-demo/audit)
[](https://www.openagentskill.com/skills/larksuite-lark-demo?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)larksuite
@larksuite
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
67.2K StarsD3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113.1K StarsScientific Agent Skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33.5K StarsSuperset
Apache Superset is a Data Visualization and Data Exploration Platform
74.7K StarsInstall targets
Codex install prompt
Install the "lark-demo" agent skill from https://github.com/larksuite/cli/tree/main/internal/qualitygate/skillscan/testdata/skills/lark-demo. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Demo skill After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"larksuite-lark-demo","task":"Install lark-demo","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add larksuite/cli --skill lark-demo
Maintenance
fresh
6d since push
Risk
Needs review
Documentation summary is thin
GitHub quality
17K
83/100 Quality · 77/100 Trust
Coverage tags
Review notes
Documentation summary is thin · Dependency or permission surface needs review
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
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
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
17K GitHub stars
Repo activity
17K stars, 1.4K forks
Maintenance
6d since push
License
MIT
Install
npx skills add larksuite/cli --skill lark-demo
Install safety
Agent-readable metadata
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
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add larksuite/cli --skill lark-demoDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
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-demo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20lark-demo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/larksuite-lark-demo/install
Agent should check
Copy prompt
Task: Use lark-demo in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lark-demo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/larksuite-lark-demo/install
Install command: npx skills add larksuite/cli --skill lark-demo
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
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-demo/install
LLM text format
/api/skills/larksuite-lark-demo/install?format=text
Find alternatives
/api/skills/search?q=lark-demo&limit=3
Agent prompt
Use lark-demo for this task. Review https://www.openagentskill.com/api/skills/larksuite-lark-demo/install, then install with: npx skills add larksuite/cli --skill lark-demoRegistry metadata
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-demo
LLM text
/api/registry/manifest/larksuite-lark-demo?format=text
Install alias
/api/registry/install/larksuite-lark-demo
Recommend
/api/registry/recommend?task=Use%20lark-demo%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
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
Evidence
review first
Implementation path
Trust profile
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, 1.4K forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
--- name: lark-demo description: Demo skill ---
```bash # comment lark-cli docs +fetch --api-version v2 --doc A3Ijdemo lark-cli im messages list \ --container-id oc_xxx \ --page-size 20 npx other-tool ```
Source provenance
Decision snapshot
16,924 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for lark-demo, ready for a manual X post.
Before you hand an agent source-backed research, give it a repeatable starting point. lark-demo: Demo skill 16.9K stars https://www.openagentskill.com/skills/larksuite-lark-demo?ref=x
Listing + install path for lark-demo: https://www.openagentskill.com/skills/larksuite-lark-demo?ref=x Install: npx skills add larksuite/cli --skill lark-demo
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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
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-demo?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larksuite-lark-demo?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larksuite-lark-demo/audit)
[](https://www.openagentskill.com/skills/larksuite-lark-demo?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)larksuite
@larksuite
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
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Codex install prompt
Install the "lark-demo" agent skill from https://github.com/larksuite/cli/tree/main/internal/qualitygate/skillscan/testdata/skills/lark-demo. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Demo skill After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"larksuite-lark-demo","task":"Install lark-demo","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add larksuite/cli --skill lark-demo
Maintenance
fresh
6d since push
Risk
Needs review
Documentation summary is thin
GitHub quality
17K
83/100 Quality · 77/100 Trust
Coverage tags
Review notes
Documentation summary is thin · Dependency or permission surface needs review
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
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
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
17K GitHub stars
Repo activity
17K stars, 1.4K forks
Maintenance
6d since push
License
MIT
Install
npx skills add larksuite/cli --skill lark-demo
Install safety
Agent-readable metadata
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
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add larksuite/cli --skill lark-demoDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
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-demo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20lark-demo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/larksuite-lark-demo/install
Agent should check
Copy prompt
Task: Use lark-demo in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lark-demo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/larksuite-lark-demo/install
Install command: npx skills add larksuite/cli --skill lark-demo
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
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-demo/install
LLM text format
/api/skills/larksuite-lark-demo/install?format=text
Find alternatives
/api/skills/search?q=lark-demo&limit=3
Agent prompt
Use lark-demo for this task. Review https://www.openagentskill.com/api/skills/larksuite-lark-demo/install, then install with: npx skills add larksuite/cli --skill lark-demoRegistry metadata
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-demo
LLM text
/api/registry/manifest/larksuite-lark-demo?format=text
Install alias
/api/registry/install/larksuite-lark-demo
Recommend
/api/registry/recommend?task=Use%20lark-demo%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
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
Evidence
review first
Implementation path
Trust profile
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, 1.4K forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Collect structured data
I need my agent to scrape websites and extract structured data from pages.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
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Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
--- name: lark-demo description: Demo skill ---
```bash # comment lark-cli docs +fetch --api-version v2 --doc A3Ijdemo lark-cli im messages list \ --container-id oc_xxx \ --page-size 20 npx other-tool ```
Source provenance
Decision snapshot
16,924 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for lark-demo, ready for a manual X post.
Before you hand an agent source-backed research, give it a repeatable starting point. lark-demo: Demo skill 16.9K stars https://www.openagentskill.com/skills/larksuite-lark-demo?ref=x
Listing + install path for lark-demo: https://www.openagentskill.com/skills/larksuite-lark-demo?ref=x Install: npx skills add larksuite/cli --skill lark-demo
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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
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-demo?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larksuite-lark-demo?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larksuite-lark-demo/audit)
[](https://www.openagentskill.com/skills/larksuite-lark-demo?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)larksuite
@larksuite
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
67.2K StarsD3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113.1K StarsScientific Agent Skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33.5K StarsSuperset
Apache Superset is a Data Visualization and Data Exploration Platform
74.7K StarsPermission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Missing useful documentation signals
Risk summary
Install readiness
Permission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Missing useful documentation signals
Risk summary
Install readiness
Permission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Missing useful documentation signals
Risk summary
Install readiness
Permission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Missing useful documentation signals
Risk summary
Install readiness