@larashero3-dotcom
Creator · larashero3-dotcom
Last updated · Sep 3, 2026
lieflat-charts
REVIEW · 62Registry indexed
Turn structured data into polished interactive HTML charts and reusable report layouts.
Creator · larashero3-dotcom
Last updated · Sep 3, 2026
Turn structured data into polished interactive HTML charts and reusable report layouts.
Creator · larashero3-dotcom
Last updated · Sep 3, 2026
Turn structured data into polished interactive HTML charts and reusable report layouts.
Creator · larashero3-dotcom
Last updated · Sep 3, 2026
Turn structured data into polished interactive HTML charts and reusable report layouts.
Creator · larashero3-dotcom
Last updated · Sep 3, 2026
Turn structured data into polished interactive HTML charts and reusable report layouts.
Sandbox only
Install targets
Codex install prompt
Install the "lieflat-charts" agent skill from https://github.com/larashero3-dotcom/lieflat-charts/blob/main/SKILL.md. 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: 一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也能从 12 套中英文整页报告模板生成可发布的 HTML 报告；以 Mono 为保底，能按数据语义自动选择内置彩色预设，也支持用户明确提供的自定义色板。地图仅在用户明确要求时启用，同一交付禁止混用色系。 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":"larashero3-dotcom-lieflat-charts","task":"Install lieflat-charts","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
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-charts
Maintenance
fresh
16d since push
Risk
Needs review
Commercial use requires separate authorization under PolyForm Noncommercial 1.0.0.
GitHub quality
2.5K
90/100 Quality · 76/100 Trust
Coverage tags
Review notes
Commercial use requires separate authorization under PolyForm Noncommercial 1.0.0. · Publisher identity and ownership are unverified until claimed.
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
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
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
2.5K GitHub stars
Repo activity
2.5K stars, 129 forks
Maintenance
16d since push
License
PolyForm-Noncommercial-1.0.0
Install
npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-charts
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 https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-chartsDo 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.
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%20lieflat-charts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20lieflat-charts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/larashero3-dotcom-lieflat-charts/install
Agent should check
Copy prompt
Task: Use lieflat-charts in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lieflat-charts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/larashero3-dotcom-lieflat-charts/install
Install command: npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-charts
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/larashero3-dotcom-lieflat-charts/install
LLM text format
/api/skills/larashero3-dotcom-lieflat-charts/install?format=text
Find alternatives
/api/skills/search?q=lieflat-charts&limit=3
Agent prompt
Use lieflat-charts for this task. Review https://www.openagentskill.com/api/skills/larashero3-dotcom-lieflat-charts/install, then install with: npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-chartsRegistry 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/larashero3-dotcom-lieflat-charts
LLM text
/api/registry/manifest/larashero3-dotcom-lieflat-charts?format=text
Install alias
/api/registry/install/larashero3-dotcom-lieflat-charts
Recommend
/api/registry/recommend?task=Use%20lieflat-charts%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Moxt, Claude Code, Codex, Agent Skills, OpenAI Agents
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
Coding agents
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
PASS2.5K GitHub stars
Stars/forks activity
INFO2.5K stars, 129 forks; issue activity unavailable in current metadata
Recent maintenance
PASS16d since push
License clarity
CHECKPolyForm-Noncommercial-1.0.0 - confirm commercial-use terms
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
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.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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.
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
一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也能从 12 套中英文整页报告模板生成可发布的 HTML 报告；以 Mono 为保底，能按数据语义自动选择内置彩色预设，也支持用户明确提供的自定义色板。地图仅在用户明确要求时启用，同一交付禁止混用色系。
Manual review: the package contains reusable HTML/SVG chart templates, optional local validation scripts, and CDN-backed Chart.js/ECharts examples. Commercial use requires separate upstream authorization under PolyForm Noncommercial 1.0.0.
Source provenance
Frameworks & tools
Decision snapshot
2,486 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for lieflat-charts, ready for a manual X post.
lieflat-charts: 一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也... 2.5K stars https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=x
Listing + install path for lieflat-charts: https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=x Install: npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill liefla...
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 larashero3-dotcom 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/larashero3-dotcom-lieflat-charts?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts/audit)
[](https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)larashero3-dotcom
@larashero3-dotcom
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
74.5K StarsSandbox only
Install targets
Codex install prompt
Install the "lieflat-charts" agent skill from https://github.com/larashero3-dotcom/lieflat-charts/blob/main/SKILL.md. 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: 一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也能从 12 套中英文整页报告模板生成可发布的 HTML 报告；以 Mono 为保底，能按数据语义自动选择内置彩色预设，也支持用户明确提供的自定义色板。地图仅在用户明确要求时启用，同一交付禁止混用色系。 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":"larashero3-dotcom-lieflat-charts","task":"Install lieflat-charts","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
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-charts
Maintenance
fresh
16d since push
Risk
Needs review
Commercial use requires separate authorization under PolyForm Noncommercial 1.0.0.
GitHub quality
2.5K
90/100 Quality · 76/100 Trust
Coverage tags
Review notes
Commercial use requires separate authorization under PolyForm Noncommercial 1.0.0. · Publisher identity and ownership are unverified until claimed.
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
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
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
2.5K GitHub stars
Repo activity
2.5K stars, 129 forks
Maintenance
16d since push
License
PolyForm-Noncommercial-1.0.0
Install
npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-charts
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 https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-chartsDo 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.
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%20lieflat-charts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20lieflat-charts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/larashero3-dotcom-lieflat-charts/install
Agent should check
Copy prompt
Task: Use lieflat-charts in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lieflat-charts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/larashero3-dotcom-lieflat-charts/install
Install command: npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-charts
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/larashero3-dotcom-lieflat-charts/install
LLM text format
/api/skills/larashero3-dotcom-lieflat-charts/install?format=text
Find alternatives
/api/skills/search?q=lieflat-charts&limit=3
Agent prompt
Use lieflat-charts for this task. Review https://www.openagentskill.com/api/skills/larashero3-dotcom-lieflat-charts/install, then install with: npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-chartsRegistry 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/larashero3-dotcom-lieflat-charts
LLM text
/api/registry/manifest/larashero3-dotcom-lieflat-charts?format=text
Install alias
/api/registry/install/larashero3-dotcom-lieflat-charts
Recommend
/api/registry/recommend?task=Use%20lieflat-charts%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Moxt, Claude Code, Codex, Agent Skills, OpenAI Agents
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
Coding agents
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
PASS2.5K GitHub stars
Stars/forks activity
INFO2.5K stars, 129 forks; issue activity unavailable in current metadata
Recent maintenance
PASS16d since push
License clarity
CHECKPolyForm-Noncommercial-1.0.0 - confirm commercial-use terms
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
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.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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.
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
一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也能从 12 套中英文整页报告模板生成可发布的 HTML 报告；以 Mono 为保底，能按数据语义自动选择内置彩色预设，也支持用户明确提供的自定义色板。地图仅在用户明确要求时启用，同一交付禁止混用色系。
Manual review: the package contains reusable HTML/SVG chart templates, optional local validation scripts, and CDN-backed Chart.js/ECharts examples. Commercial use requires separate upstream authorization under PolyForm Noncommercial 1.0.0.
Source provenance
Frameworks & tools
Decision snapshot
2,486 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for lieflat-charts, ready for a manual X post.
lieflat-charts: 一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也... 2.5K stars https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=x
Listing + install path for lieflat-charts: https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=x Install: npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill liefla...
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 larashero3-dotcom 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/larashero3-dotcom-lieflat-charts?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts/audit)
[](https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)larashero3-dotcom
@larashero3-dotcom
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
74.5K StarsSandbox only
Install targets
Codex install prompt
Install the "lieflat-charts" agent skill from https://github.com/larashero3-dotcom/lieflat-charts/blob/main/SKILL.md. 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: 一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也能从 12 套中英文整页报告模板生成可发布的 HTML 报告；以 Mono 为保底，能按数据语义自动选择内置彩色预设，也支持用户明确提供的自定义色板。地图仅在用户明确要求时启用，同一交付禁止混用色系。 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":"larashero3-dotcom-lieflat-charts","task":"Install lieflat-charts","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
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-charts
Maintenance
fresh
16d since push
Risk
Needs review
Commercial use requires separate authorization under PolyForm Noncommercial 1.0.0.
GitHub quality
2.5K
90/100 Quality · 76/100 Trust
Coverage tags
Review notes
Commercial use requires separate authorization under PolyForm Noncommercial 1.0.0. · Publisher identity and ownership are unverified until claimed.
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
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
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
2.5K GitHub stars
Repo activity
2.5K stars, 129 forks
Maintenance
16d since push
License
PolyForm-Noncommercial-1.0.0
Install
npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-charts
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 https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-chartsDo 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.
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%20lieflat-charts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20lieflat-charts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/larashero3-dotcom-lieflat-charts/install
Agent should check
Copy prompt
Task: Use lieflat-charts in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lieflat-charts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/larashero3-dotcom-lieflat-charts/install
Install command: npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-charts
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/larashero3-dotcom-lieflat-charts/install
LLM text format
/api/skills/larashero3-dotcom-lieflat-charts/install?format=text
Find alternatives
/api/skills/search?q=lieflat-charts&limit=3
Agent prompt
Use lieflat-charts for this task. Review https://www.openagentskill.com/api/skills/larashero3-dotcom-lieflat-charts/install, then install with: npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-chartsRegistry 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/larashero3-dotcom-lieflat-charts
LLM text
/api/registry/manifest/larashero3-dotcom-lieflat-charts?format=text
Install alias
/api/registry/install/larashero3-dotcom-lieflat-charts
Recommend
/api/registry/recommend?task=Use%20lieflat-charts%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Moxt, Claude Code, Codex, Agent Skills, OpenAI Agents
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
Coding agents
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
PASS2.5K GitHub stars
Stars/forks activity
INFO2.5K stars, 129 forks; issue activity unavailable in current metadata
Recent maintenance
PASS16d since push
License clarity
CHECKPolyForm-Noncommercial-1.0.0 - confirm commercial-use terms
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
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.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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.
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
一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也能从 12 套中英文整页报告模板生成可发布的 HTML 报告；以 Mono 为保底，能按数据语义自动选择内置彩色预设，也支持用户明确提供的自定义色板。地图仅在用户明确要求时启用，同一交付禁止混用色系。
Manual review: the package contains reusable HTML/SVG chart templates, optional local validation scripts, and CDN-backed Chart.js/ECharts examples. Commercial use requires separate upstream authorization under PolyForm Noncommercial 1.0.0.
Source provenance
Frameworks & tools
Decision snapshot
2,486 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for lieflat-charts, ready for a manual X post.
lieflat-charts: 一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也... 2.5K stars https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=x
Listing + install path for lieflat-charts: https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=x Install: npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill liefla...
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 larashero3-dotcom 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/larashero3-dotcom-lieflat-charts?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts/audit)
[](https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)larashero3-dotcom
@larashero3-dotcom
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
74.5K StarsSandbox only
Install targets
Codex install prompt
Install the "lieflat-charts" agent skill from https://github.com/larashero3-dotcom/lieflat-charts/blob/main/SKILL.md. 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: 一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也能从 12 套中英文整页报告模板生成可发布的 HTML 报告；以 Mono 为保底，能按数据语义自动选择内置彩色预设，也支持用户明确提供的自定义色板。地图仅在用户明确要求时启用，同一交付禁止混用色系。 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":"larashero3-dotcom-lieflat-charts","task":"Install lieflat-charts","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
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-charts
Maintenance
fresh
16d since push
Risk
Needs review
Commercial use requires separate authorization under PolyForm Noncommercial 1.0.0.
GitHub quality
2.5K
90/100 Quality · 76/100 Trust
Coverage tags
Review notes
Commercial use requires separate authorization under PolyForm Noncommercial 1.0.0. · Publisher identity and ownership are unverified until claimed.
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
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
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
2.5K GitHub stars
Repo activity
2.5K stars, 129 forks
Maintenance
16d since push
License
PolyForm-Noncommercial-1.0.0
Install
npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-charts
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 https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-chartsDo 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.
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%20lieflat-charts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20lieflat-charts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/larashero3-dotcom-lieflat-charts/install
Agent should check
Copy prompt
Task: Use lieflat-charts in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lieflat-charts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/larashero3-dotcom-lieflat-charts/install
Install command: npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-charts
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/larashero3-dotcom-lieflat-charts/install
LLM text format
/api/skills/larashero3-dotcom-lieflat-charts/install?format=text
Find alternatives
/api/skills/search?q=lieflat-charts&limit=3
Agent prompt
Use lieflat-charts for this task. Review https://www.openagentskill.com/api/skills/larashero3-dotcom-lieflat-charts/install, then install with: npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill lieflat-chartsRegistry 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/larashero3-dotcom-lieflat-charts
LLM text
/api/registry/manifest/larashero3-dotcom-lieflat-charts?format=text
Install alias
/api/registry/install/larashero3-dotcom-lieflat-charts
Recommend
/api/registry/recommend?task=Use%20lieflat-charts%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Moxt, Claude Code, Codex, Agent Skills, OpenAI Agents
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
Coding agents
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
PASS2.5K GitHub stars
Stars/forks activity
INFO2.5K stars, 129 forks; issue activity unavailable in current metadata
Recent maintenance
PASS16d since push
License clarity
CHECKPolyForm-Noncommercial-1.0.0 - confirm commercial-use terms
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
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.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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.
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
一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也能从 12 套中英文整页报告模板生成可发布的 HTML 报告；以 Mono 为保底，能按数据语义自动选择内置彩色预设，也支持用户明确提供的自定义色板。地图仅在用户明确要求时启用，同一交付禁止混用色系。
Manual review: the package contains reusable HTML/SVG chart templates, optional local validation scripts, and CDN-backed Chart.js/ECharts examples. Commercial use requires separate upstream authorization under PolyForm Noncommercial 1.0.0.
Source provenance
Frameworks & tools
Decision snapshot
2,486 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for lieflat-charts, ready for a manual X post.
lieflat-charts: 一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也... 2.5K stars https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=x
Listing + install path for lieflat-charts: https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=x Install: npx skills add https://github.com/larashero3-dotcom/lieflat-charts --skill liefla...
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 larashero3-dotcom 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/larashero3-dotcom-lieflat-charts?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts/audit)
[](https://www.openagentskill.com/skills/larashero3-dotcom-lieflat-charts?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)larashero3-dotcom
@larashero3-dotcom
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
74.5K StarsInstall safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
Early agent signal: 100% success from 1 agent outcomes
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Install safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
Early agent signal: 100% success from 1 agent outcomes
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Install safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
Early agent signal: 100% success from 1 agent outcomes
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Install safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
Early agent signal: 100% success from 1 agent outcomes
Docs
Strong README/SKILL.md context
Risk summary
Install readiness