Teamwork

REVIEW · 67
Community indexed

Evidence-first skills for Codex, Cursor, and Claude Code: research, debugging, planning, execution, review, and goal loops.

Verified installs0
Stars10
Version1.0.0
Quality68/100 · Promising
Trust67/100 · Sandbox only
Audit80/100 · Needs review

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 + OpenAI Agents + Cursor

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

Install

Ready

npx skills add JinPLu/Teamwork

Maintenance

fresh

20d since push

Risk

Needs review

Financial research output is not financial advice; require human review before any live investment decision

GitHub quality

10

68/100 Quality · 75/100 Trust

Coverage tags

CodingCoding agentscoding-agentsskillscodex

Review notes

Financial research output is not financial advice; require human review before any live investment decision · Low GitHub adoption signal

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

Promising
68

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
67

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

Audit

Needs review
80

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

10 GitHub stars

Repo activity

10 stars, 0 forks

Maintenance

20d since push

License

MIT

Install

npx skills add JinPLu/Teamwork

Install safety

standard package or runtime install path

Permission surface

shell or command execution

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Financial research output is not financial advice; require human review before any live investment decision.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 10 GitHub stars

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 CLIOpenAI AgentsCLI

Install decision

Command
npx skills add JinPLu/Teamwork
Policy
review
Human review
yes

Trust and risk

Trust
67/100
Audit
80/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add JinPLu/Teamwork

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • High-risk permission hints: Shell or command execution
  • Financial research output is not financial advice; require human review before any live investment decision

Agent safety v2

52/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

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

medium

Filesystem access

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

  • High-risk permission hints: Shell or command execution
  • Financial research output is not financial advice; require human review before any live investment decision

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

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install jinplu-teamwork

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

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

67/100

Coding agents

Platforms

Python, Claude Code, OpenAI Agents, Cursor

Audit report

Needs review · 80/100

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

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Coding agents

Prototype with this skill first; keep a fallback candidate ready.

67
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Coding agents

Trust label

Prototype first

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
  • 68/100 quality profile
  • 1 OpenAgentSkill engagement events

review first

  • Low GitHub adoption signal

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.

67
OpenAgentSkill Trust Score

GitHub adoption

FIX

10 GitHub stars

Stars/forks activity

FIX

10 stars, 0 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

20d since push

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

  • Financial research output is not financial advice; require human review before any live investment decision.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 10 GitHub stars
  • Stars/forks activity: 10 stars, 0 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

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

68
GitHub stars
10
Freshness
20d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

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

<p align="center"> <img src="assets/teamwork-readme-onboarding-zh-v3.png" alt="Teamwork 卡通双路径:清楚就直接做,需要方法再使用协作、调研、探索、排错、计划、复查、目标、初始化和更新 9 个 skills,最后验证完成" width="760"> </p>

<h1 align="center">Teamwork</h1>

<p align="center"> <strong>让 Codex、Cursor 和 Claude Code 在该直接做时直接做,在需要方法时调用方法。</strong><br> Teamwork 提供 9 个按需使用的 skills,覆盖讨论收敛、外部调研、本地证据、未知失败排查、计划、复查、持续目标、项目初始化和全局更新。 </p>

<p align="center"> <a href="https://github.com/JinPLu/Teamwork/releases"><img src="https://img.shields.io/github/v/release/JinPLu/Teamwork?display_name=tag&amp;sort=semver" alt="最新 Release"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-2563EB" alt="MIT License"></a> <img src="https://img.shields.io/badge/platforms-Codex%20%C2%B7%20Cursor%20%C2%B7%20Claude%20Code-0F766E" alt="支持 Codex、Cursor 和 Claude Code"> </p>

<p align="center"> <a href="README.en.md">English</a> · <a href="CHANGELOG.md">更新日志</a> · <a href="CODEX.md">Codex</a> · <a href="CURSOR.md">Cursor</a> · <a href="CLAUDE.md">Claude Code</a> </p>

---

> [!TIP] > **不需要先背会 9 个 skills。** 大多数时候直接描述结果;只有想精确控制工作方式时,才显式写出 `$teamwork-*` 名称。

## 🚀 一分钟开始

### Codex:推荐使用 Marketplace plugin

```bash codex plugin marketplace add JinPLu/Teamwork codex plugin add teamwork-skill@teamwork ```

开启一个新的 Codex 任务,运行:

```text $teamwork-update ```

首次运行会询问 `performance-first` 或 `cost-first`,并分别确认是否启用受管 CodeGraph 和本地 GPU Broker。无论是否启用这两项可选增强,skills、agents、 路由、全局策略和通知等基础流程都会完整执行;已保存的选择会在后续更新中继承。 配置完成后重启 Codex;如果启用了通知,请在 `/hooks` 中分别信任 Teamwork 的 `Stop` 和 `PermissionRequest`,不要使用 trust-all。

如果希望某个仓库拥有项目说明、Teamwork memory 和 CodeGraph 上下文,请在该仓库中运行:

```text 用 $teamwork-init 初始化这个项目。 ```

现在可以直接开始。例如:

```text 直接实现这个校验改动,验证受影响路径,成功后停止。 ```

这类目标清楚的本地工作不需要任何 Teamwork skill。想先讨论方向时,可以说:

```text 用 $teamwork-collaborate 和我一起梳理 onboarding,先给建议,再问最有价值的问题。 ```

<details> <summary><strong>Cursor、Claude Code 或开发 checkout</strong></summary>

```bash git clone https://github.com/JinPLu/Teamwork.git cd Teamwork ./install.s

Platform compatibility

pythonFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 18, 2026
Published
Aug 3, 2026

Frameworks & tools

Python

Decision snapshot

Fallback candidate

67
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

80
Needs review
Security
84/100
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 Teamwork, ready for a manual X post.

Curator note
A practical pick for source-backed research:

Teamwork: Evidence-first skill collection for Codex, Cursor, and Claude Code covering research, debugging, planning, execution, revie...

10 stars

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

Install: npx skills add JinPLu/Teamwork

Listing source

Community indexed

Claimable

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

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

Author

J

JinPLu

@jinplu

Health signals

GitHub stars
10
Quality score
42/100
Last GitHub push
Aug 3, 2026
Framework hints
1
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

67
  • GitHub adoption10 GitHub starsFIX
  • Stars/forks activity10 stars, 0 forks; issue activity unavailable in current metadataFIX
  • Recent maintenance20d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO