Skills

REVIEW · 73
Community indexed

Top-level index for the Lovstudio skills ecosystem

Verified installs0
Stars65
Version1.0.0
Quality76/100 · Strong
Trust73/100 · Sandbox only
Audit85/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add lovstudio/skills

Maintenance

fresh

Pushed today

Risk

Safe to try

Quality score needs review

GitHub quality

65

76/100 Quality · 81/100 Trust

Coverage tags

CodingCoding agentscoding-agentsclaude-codeskills-collection

Review notes

Quality score needs review · GitHub adoption: 65 GitHub stars

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

Strong
76

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
73

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Safe to try
85

A 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.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

65 GitHub stars

Repo activity

65 stars, 18 forks

Maintenance

Pushed today

License

MIT

Install

npx skills add lovstudio/skills

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Quality score needs review
  • GitHub adoption: 65 GitHub stars
  • Stars/forks activity: 65 stars, 18 forks; issue activity unavailable in current metadata

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.

Open JSON

Suited tasks

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect source files

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add lovstudio/skills
Policy
review
Human review
yes

Trust and risk

Trust
73/100
Audit
85/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add lovstudio/skills

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • Quality score needs review
  • GitHub adoption: 65 GitHub stars

Agent safety v2

69/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Quality score needs review

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.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add lovstudio/skills

Agent 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 text plan

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 Skills in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/lovstudio-skills/install
Install command: npx skills add lovstudio/skills
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.

Open install API

Agent prompt

Use Skills for this task. Review https://www.openagentskill.com/api/skills/lovstudio-skills/install, then install with: npx skills add lovstudio/skills

Registry 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.

Open manifest

Agent fit

75/100

Coding agents

Platforms

Python, Claude Code

Audit report

Safe to try · 85/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Companion skill for Coding agents

Shortlist this skill and compare it with close alternatives before production adoption.

75
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

Coding agents

Trust label

Strong shortlist

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 76/100 quality profile

review first

  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 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.

73
OpenAgentSkill Trust Score

GitHub adoption

CHECK

65 GitHub stars

Stars/forks activity

CHECK

65 stars, 18 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • 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
  • GitHub adoption: 65 GitHub stars
  • Stars/forks activity: 65 stars, 18 forks; issue activity unavailable in current metadata
  • 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

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

76
GitHub stars
65
Freshness
Today
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

<h1 align="center">Lovstudio Skills</h1>

<p align="center"> <strong>Lovstudio Claude Code AI 编程技能生态的总索引。</strong><br> <sub>由 <a href="https://lovstudio.ai">Lovstudio</a> 出品 · <a href="https://agentskills.io">agentskills.io</a></sub> </p>

<p align="center"> <b>简体中文</b> · <a href="README.en.md">English</a> </p>

<p align="center"> <a href="#技能列表">技能</a> · <a href="#安装">安装</a> · <a href="#工作原理">工作原理</a> · <a href="#贡献">贡献</a> · <a href="#许可证">许可证</a> </p>

---

## 这是什么

本仓库是 Lovstudio 技能生态的**统一总索引**,所有可发现的 Skill 都从这里汇总。 Skill 的实际内容有两种组织方式:直接放在本仓库的 `skills/<name>/` 中,或维护在 `lovstudio/{name}-skill` 这样的独立仓库中。

本仓库包含:

- [`skills.yaml`](skills.yaml) — 机器可读清单。每个技能包含两类描述:`description` 是给 Agent 看的英文触发文案,由 CI 自动从各自 GitHub 仓库 description 同步;`tagline_en` / `tagline_zh` 是给人看的中英文一句话简介,由维护者手工填写,也就是下方表格里展示的那一列。 - [`README.md`](README.md) / [`README.en.md`](README.en.md) — 由清单自动渲染生成。 - [`skills/`](skills) — 面向安装器的同步镜像。免费技能从各自独立仓库同步而来,付费技能只放可公开分发的加密包或占位内容;真正的源码和历史仍以各自 skill repo 为准。

标记为 ![Free](https://img.shields.io/badge/Free-green) 的技能可以直接安装和使用。标记为 ![Paid](https://img.shields.io/badge/Paid-blueviolet) 的技能需要登录并用 Credits 兑换;安装器只下载加密包,兑换成功后才会按账户权益解密使用。购买或咨询请扫码关注公众号 **手工川**:

<p align="center"> <img src="assets/shougongchuan-banner.jpg" alt="关注公众号「手工川」获取付费技能" width="720"> </p>

## 技能列表

<!-- COUNT:START --> > **68 个技能** — 56 个免费 + 12 个付费。 <!-- COUNT:END -->

<!-- SKILLS:START --> | | 英文名 | 中文名 | 描述 | |---|---|---|---| | **通用** | | | | | ![Free](https://img.shields.io/badge/Free-green) | [`fact-check`](https://github.com/lovstudio/fact-check-skill) | [事实校验](https://github.com/lovstudio/fact-check-skill) | 用尽调思路确认事实:查一手资料、找反例、标证据等级,给出置信度和下一步。 | | ![Free](https://img.shields.io/badge/Free-green) | [`hanzi-lens`](https://github.com/lovstudio/hanzi-lens-skill) | [汉字镜](https://github.com/lovstudio/hanzi-lens-skill) | 用证据看懂一个汉字:读音、字形、字书、经典语境与专业信息图。 — 依赖: `professional-infographic` | | ![Free](https://img.shields.io/badge/Free-green) | [`image-creator`](https://github.com/l

Platform compatibility

pythonFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 10, 2026
Published
Aug 10, 2026

Frameworks & tools

Python

Decision snapshot

Companion skill

75
Ready
Shortlist
Stage

recent repository activity

Audit

Install review

Install and adoption review

85
Safe to try
Security
89/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
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

X

Scenario-led draft for Skills, ready for a manual X post.

Curator note
Skills: A centralized index and mirror of Claude Code AI programming skills, providing installable fr...

65 stars

https://www.openagentskill.com/skills/lovstudio-skills?ref=x
Open X draft
Optional reply with install command
Listing + install path for Skills:
https://www.openagentskill.com/skills/lovstudio-skills?ref=x

Install: npx skills add lovstudio/skills

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
lovstudio
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 skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to lovstudio 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.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/lovstudio-skills?metric=listed&label=Listed)](https://www.openagentskill.com/skills/lovstudio-skills)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/lovstudio-skills?metric=trust&label=Trust)](https://www.openagentskill.com/skills/lovstudio-skills)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/lovstudio-skills?metric=audit&label=Audit)](https://www.openagentskill.com/skills/lovstudio-skills/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/lovstudio-skills?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/lovstudio-skills)

Author

L

lovstudio

@lovstudio

Platform fit

Health signals

GitHub stars
65
Quality score
47/100
Last GitHub push
Aug 10, 2026
Framework hints
1
OpenAgentSkill views
0
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

73
  • GitHub adoption65 GitHub starsCHECK
  • Stars/forks activity65 stars, 18 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS