Star200+

Omnigent

STRONG · 84
Community indexed

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

Verified installs0
Stars8.4K
Version1.0.0
Quality100/100 · Excellent
Trust84/100 · Review then install
Audit95/100 · Risky

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 omnigent-ai/omnigent

Maintenance

fresh

2d since push

Risk

Risky

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

GitHub quality

8.4K

100/100 Quality · 92/100 Trust

Coverage tags

CodingCoding agentscoding-agentsdeveloper-toolsautomation

Review notes

Financial research output is not financial advice; require human review before any live investment decision · Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required

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
84

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

Audit

Risky
95

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

OpenAgentSkill Trust Score v5

Sandbox only

Use as the primary candidate after human or sandbox review.

PythonDeveloper ToolsCodexClaude CodeCursor

Stars

8.4K GitHub stars

Repo activity

8.4K stars, 1.3K forks

Maintenance

2d since push

License

Apache-2.0

Install

npx skills add omnigent-ai/omnigent

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

  • Financial research output is not financial advice; require human review before any live investment decision.
  • This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.

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
  • teams that value GitHub adoption signals
  • Inspect source files

Suited agents

PythonDeveloper ToolsCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add omnigent-ai/omnigent
Policy
block
Human review
yes

Trust and risk

Trust
84/100
Audit
95/100
Risk level
Risky

Outcome loop

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

Install command

npx skills add omnigent-ai/omnigent
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
  • Audit risk risky exceeds max_risk=medium
  • Financial research output is not financial advice; require human review before any live investment decision

Alternative

Grill With Docs

164.7K Stars

npx skills add mattpocock/skills --skill grill-with-docs

Alternative

Code Review

168.6K Stars

npx skills add mattpocock/skills --skill code-review

Alternative

To Spec

164.7K Stars

npx skills add mattpocock/skills --skill to-spec

Alternative

To Tickets

176.7K Stars

npx skills add mattpocock/skills --skill to-tickets

Agent safety v2

79/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

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.

  • Audit risk risky exceeds max_risk=medium
  • 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

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

$ npx skills add omnigent-ai/omnigent

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%20Omnigent%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

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

Install handoff

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

LLM text format

/api/skills/omnigent-ai-omnigent/install?format=text

Find alternatives

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

Agent prompt

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

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/omnigent-ai-omnigent

LLM text

/api/registry/manifest/omnigent-ai-omnigent?format=text

Install alias

/api/registry/install/omnigent-ai-omnigent

Recommend

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

Agent fit

100/100

Coding agents

Use-case tags

Coding agentsGitHub automationRAG and knowledge

Platforms

Python, Developer Tools, Claude Code, OpenAI Agents, Cursor

Audit report

Risky · 95/100

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

View audit reportView eval report

Agent decision cockpit

Primary pick for Coding agents

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

Coding agents

Trust label

Production-ready

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 8,372 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 100/100 quality profile
  • 133 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

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

Review then install

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

84
OpenAgentSkill Trust Score

GitHub adoption

PASS

8.4K GitHub stars

Stars/forks activity

PASS

8.4K stars, 1.3K forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2d since push

License clarity

PASS

Apache-2.0

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Large GitHub adoption signal
  • 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.
  • This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
  • 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
8.4K
Freshness
2d ago
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Build and ship code

Coding agents

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

Manage repositories

GitHub automation

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

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.

Turn skills into distribution

Content growth agent

A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

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.

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Grill With Docs

A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.

Adopt
Ready100
Quality100
Stars164.7K

Code Review

Review a branch or diff against repository standards and the originating spec in two independent analysis passes.

Adopt
Ready100
Quality100
Stars168.6K

To Spec

Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.

Adopt
Ready100
Quality100
Stars164.7K

To Tickets

Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.

Adopt
Ready100
Quality100
Stars176.7K

Overview

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

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

Platform compatibility

pythonFULL
developer-toolsFULL

Technical details

Version
1.0.0
License
Apache-2.0
Last updated
Aug 8, 2026
Published
Jun 21, 2026

Frameworks & tools

PythonDeveloper Tools

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

8,372 GitHub stars

Audit

Install review

Install and adoption review

95
Risky
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.

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 Omnigent, ready for a manual X post.

Curator note
Omnigent: Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Code...

8.4K stars

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

Install: npx skills add omnigent-ai/omnigent
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.

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

Author

O

omnigent-ai✓

@omnigent-ai

Tags

developer-toolsautomationcodingagent-frameworkagent-governanceagent-orchestrationagentsaiai-agentai-agents

Platform fit

Claude CodeOpenAI AgentsCursor

Health signals

GitHub stars
8.4K
Quality score
69/100
Last GitHub push
Aug 8, 2026
Framework hints
2
OpenAgentSkill views
33
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

84
  • GitHub adoption8.4K GitHub starsPASS
  • Stars/forks activity8.4K stars, 1.3K forks; issue activity unavailable in current metadataPASS
  • Recent maintenance2d since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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