Star200+

AGI Super Team

REVIEW · 69
Community indexed

14 AI executives powered by legendary minds (Musk/Buffett/Simons/Feynman) — deploy your virtual C-Suite in one git clone.

Downloads0
Stars82
Version1.0.0
Quality74/100 · Strong
Trust69/100 · Sandbox only
Audit82/100 · 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

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

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

Install

Ready

npx skills add aAAaqwq/AGI-Super-Team

Maintenance

fresh

Pushed today

Risk

Safe to try

Quality score needs review

GitHub quality

82

74/100 Quality · 77/100 Trust

Coverage tags

CodingGitHub automationproductivityagent-teamsrole-instructions

Review notes

Quality score needs review · GitHub adoption: 82 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
74

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
69

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
82

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

82 GitHub stars

Repo activity

82 stars, 19 forks

Maintenance

Pushed today

License

MIT

Install

npx skills add aAAaqwq/AGI-Super-Team

Install safety

standard package or runtime install path

Permission surface

shell or command execution, 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: 82 GitHub stars
  • Stars/forks activity: 82 stars, 19 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

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add aAAaqwq/AGI-Super-Team
Policy
review
Human review
yes

Trust and risk

Trust
69/100
Audit
82/100
Risk level
Safe to try

Outcome loop

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

Install command

npx skills add aAAaqwq/AGI-Super-Team
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • High-risk permission hints: Shell or command execution
  • Quality score needs review

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Agent safety v2

54/100 · 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
  • 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 aAAaqwq/AGI-Super-Team

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

Open JSON

/api/agent/resolve?task=Use%20AGI%20Super%20Team%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20AGI%20Super%20Team%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/aaaaqwq-agi-super-team/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use AGI Super Team in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20AGI%20Super%20Team%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/aaaaqwq-agi-super-team/install
Install command: npx skills add aAAaqwq/AGI-Super-Team
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

Install handoff

/api/skills/aaaaqwq-agi-super-team/install

LLM text format

/api/skills/aaaaqwq-agi-super-team/install?format=text

Find alternatives

/api/skills/search?q=AGI%20Super%20Team&limit=3

Agent prompt

Use AGI Super Team for this task. Review https://www.openagentskill.com/api/skills/aaaaqwq-agi-super-team/install, then install with: npx skills add aAAaqwq/AGI-Super-Team

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

Manifest

/api/registry/manifest/aaaaqwq-agi-super-team

LLM text

/api/registry/manifest/aaaaqwq-agi-super-team?format=text

Install alias

/api/registry/install/aaaaqwq-agi-super-team

Recommend

/api/registry/recommend?task=Use%20AGI%20Super%20Team%20in%20an%20agent%20workflow&limit=3

Agent fit

73/100

GitHub automation

Use-case tags

GitHub automationCoding agentsLocal desktop

Platforms

Python, Claude Code

Audit report

Safe to try · 82/100

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

View audit reportView eval report

Agent decision cockpit

Companion skill for GitHub automation

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

73
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

GitHub automation

Trust label

Strong shortlist

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 74/100 quality profile
  • 1 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation 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.

69
OpenAgentSkill Trust Score

GitHub adoption

CHECK

82 GitHub stars

Stars/forks activity

CHECK

82 stars, 19 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: 82 GitHub stars
  • Stars/forks activity: 82 stars, 19 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.

74
GitHub stars
82
Freshness
Today
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Build and ship code

Coding agents

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

Operate local tools

Local desktop

I need my agent to operate local files and desktop apps in a repeatable workflow.

Workflow fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Operate and verify web apps

Browser QA agent

A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Design, build, test, and ship interfaces

Frontend and UI

A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.

Alternative shortlist

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Overview

<p align="center"> <img src="assets/banner.png" alt="AGI Super Team — Evidence-backed AI teams for real outcomes" width="100%"> </p>

<h1 align="center">AGI Super Team</h1>

<p align="center"><strong>Evidence-backed AI teams for real outcomes</strong></p>

<p align="center"> <a href="./README_CN.md">中文</a> · <a href="#safe-quick-start">Quick start</a> · <a href="#five-minute-installation-receipt">Receipt</a> · <a href="#repository-architecture">Architecture</a> · <a href="./docs/guides/">Guides</a> · <a href="./CONTRIBUTING.md">Contribute</a> </p>

## What this repository is

AGI Super Team provides installable AI team packs, role instructions, and reusable skills for existing coding-agent harnesses.

It is not a model or an agent runtime. It provides versioned workspace configurations that help people plan, build, review, and communicate with explicit human approval gates.

Three constraints make the project different:

- **Inspect before write:** the generic installer previews every destination and requires explicit `--apply`. - **One source of truth:** agents, kits, local requirements, and external recommendations come from a validated manifest. - **Evidence before claims:** compatibility and outcomes remain pending until a receipt matches the tested revision.

Trading, legal, security, medical, publishing, and deployment work still requires qualified human review.

## Safe quick start

Clone a trusted revision and preview the Solo Founder pack. The installer requires Bash and Node.js; repository verification also requires npm and Python 3.

```bash git clone --depth 1 --branch main https://github.com/aAAaqwq/AGI-Super-Team.git cd AGI-Super-Team ./install.sh --source "$PWD" --destination /path/to/review-workspace solo-founder ```

Review the source, destination, selected agents, and planned files. Apply only when the preview matches your intent:

```bash ./install.sh --source "$PWD" --destination /path/to/review-workspace --apply solo-founder ```

T

Platform compatibility

pythonFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 4, 2026
Published
Jul 21, 2026

Frameworks & tools

Python

Decision snapshot

Companion skill

73
Ready
Shortlist
Stage

recent repository activity

Audit

Install review

Install and adoption review

82
Safe to try
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.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for AGI Super Team, ready for a manual X post.

Curator note
AGI Super Team: Installable AI team packs and role instructions for coding-agent harnesses, providing version...

82 stars

https://www.openagentskill.com/skills/aaaaqwq-agi-super-team?ref=x
Open X draft
Optional reply with install command
Listing + install path for AGI Super Team:
https://www.openagentskill.com/skills/aaaaqwq-agi-super-team?ref=x

Install: npx skills add aAAaqwq/AGI-Super-Team
Open reply draft

Listing source

Community indexed

Claimable

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

Creator
aAAaqwq
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 aAAaqwq 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/aaaaqwq-agi-super-team?metric=listed&label=Listed)](https://www.openagentskill.com/skills/aaaaqwq-agi-super-team)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/aaaaqwq-agi-super-team?metric=trust&label=Trust)](https://www.openagentskill.com/skills/aaaaqwq-agi-super-team)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/aaaaqwq-agi-super-team?metric=audit&label=Audit)](https://www.openagentskill.com/skills/aaaaqwq-agi-super-team/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/aaaaqwq-agi-super-team?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/aaaaqwq-agi-super-team)
Preview badge Open audit Creator kit

Author

A

aAAaqwq

@aaaaqwq

Tags

agent-teamsrole-instructionsagent-configsskill-packcli-tool

Platform fit

Claude Code

Health signals

GitHub stars
82
Quality score
45/100
Last GitHub push
Aug 4, 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

69
  • GitHub adoption82 GitHub starsCHECK
  • Stars/forks activity82 stars, 19 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO

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