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Skills/agent-frameworks/Agi

Agi

STRONG · 80
Community indexed

The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully peer-to-peer. Join from your browser or CLI.

Downloads0
Stars1.9K
Version1.0.0
Quality100/100 · Excellent
Trust80/100 · Review then install
Audit90/100 · 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 + Browser agents + CLI

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

Install

Ready

npx skills add hyperspaceai/agi

Maintenance

active

1mo since push

Risk

Safe to try

No major risk signals from available metadata

GitHub quality

1.9K

100/100 quality · 85/100 trust

Coverage tags

CodingGitHub automationagent-frameworksagentsai-agents

Review notes

No major risk signals from available metadata

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

Excellent
100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
80

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
90

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Use as the primary candidate after human or sandbox review.

AI AgentsCodexClaude CodeCursorOpenAgentSkill CLI

Stars

1.9K GitHub stars

Repo activity

1.9K stars, 231 forks

Maintenance

1mo since push

License

MIT

Install

npx skills add hyperspaceai/agi

Install safety

standard package or runtime install path

Permission surface

shell or command execution, network or browser access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

  • No major trust warnings detected from available 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
  • teams that value GitHub adoption signals
  • Inspect repository metadata

Suited agents

AI AgentsCodexClaude CodeCursorOpenAgentSkill CLIBrowser agentsCLI

Install decision

Command
npx skills add hyperspaceai/agi
Policy
review
Human review
yes

Trust and risk

Trust
80/100
Audit
90/100
Risk level
Safe to try

Outcome loop

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

Install command

npx skills add hyperspaceai/agi
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
  • No major trust warnings detected from available metadata

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Agent safety v2

62/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

high

Shell or command execution

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

medium

Browser automation

Skill may drive a browser or interact with web pages.

medium

Network access

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

  • High-risk permission hints: Shell or command execution

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

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

$ npx skills add hyperspaceai/agi

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

Resolve JSON

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

Resolve text

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

Install handoff

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

LLM text format

/api/skills/hyperspaceai-agi/install?format=text

Find alternatives

/api/skills/search?q=Agi&limit=3

Agent prompt

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

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/hyperspaceai-agi

LLM text

/api/registry/manifest/hyperspaceai-agi?format=text

Install alias

/api/registry/install/hyperspaceai-agi

Recommend

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

Agent fit

100/100

GitHub automation

Use-case tags

GitHub automationCoding agentsRAG and knowledge

Platforms

AI Agents, Claude Code, Browser agents

Audit report

Safe to try · 90/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Primary pick for GitHub automation

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

GitHub automation

Trust label

Production-ready

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 1,924 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 100/100 quality profile
  • 7 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

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

80
Trust score

GitHub adoption

PASS

1.9K GitHub stars

Stars/forks activity

INFO

1.9K stars, 231 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

1mo since push

License clarity

PASS

MIT

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Meaningful GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
1.9K
Freshness
1mo ago
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.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

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.

Ingest, retrieve, and cite

RAG knowledge base

A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Find, compare, and synthesize

Research report agent

A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.

Alternative shortlist

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Overview

The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully peer-to-peer. Join from your browser or CLI.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

ai-agentsFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/12/2026
Published
5/24/2026

Frameworks & Tools

AI Agents

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

1,924 GitHub stars

Audit snapshot

Install review

Install and adoption review

90
Safe to try
Security
83/100
Maintenance
88/100
Install
92/100
Open full auditOpen 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 audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

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

Curator note
Most web agents fail in the boring part: messy pages, missing context, repeatable extraction.

Agi gives agents a cleaner path to browse, extract, and monitor web pages.

1.9K stars

https://www.openagentskill.com/skills/hyperspaceai-agi?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Agi:
https://www.openagentskill.com/skills/hyperspaceai-agi?ref=x

Install: npx skills add hyperspaceai/agi
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
hyperspaceai
Source
hyperspaceai/agi
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 hyperspaceai 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/hyperspaceai-agi?metric=listed&label=Listed)](https://www.openagentskill.com/skills/hyperspaceai-agi)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/hyperspaceai-agi?metric=trust&label=Trust)](https://www.openagentskill.com/skills/hyperspaceai-agi)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/hyperspaceai-agi?metric=audit&label=Audit)](https://www.openagentskill.com/skills/hyperspaceai-agi/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/hyperspaceai-agi?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/hyperspaceai-agi)
Preview badge Open audit Creator Kit

Author

H

hyperspaceai✓

@hyperspaceai

Tags

agentsai-agentsagiai-researchartificial-general-intelligenceautonomous-agentsautonomous-agents-autoresearchcollaborative-aidecentralized

Platform Fit

Claude CodeBrowser agents

Health Signals

GitHub stars
1.9K
Quality score
65/100
Last GitHub push
Jun 12, 2026
Framework hints
1
OpenAgentSkill views
3
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

Review then install

80
  • GitHub adoption1.9K GitHub starsPASS
  • Stars/forks activity1.9K stars, 231 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance1mo since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, network or browser surfaceINFO

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The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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