Codex Autoresearch

TRUSTED · 89
Community indexed

A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build speed, bundle size, model loss, Lighthouse scores, memory use, query latency, or any other metric you can print from a script.

Downloads 0
Stars 669
Version 1.0.0
Quality 86/100 · Excellent
Trust 89/100 · Production candidate
Audit 92/100 · Safe to try

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

RAG and knowledge

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

Agent fit

Claude Code + OpenAI Agents + CLI

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

Install

Ready

npx skills add TheGreenCedar/codex-autoresearch

Maintenance

fresh

2d since push

Risk

Safe to try

Quality score needs review

GitHub quality

669

86/100 quality · 89/100 trust

Coverage tags

ResearchRAG and knowledgeagent-skillsskillsautonomous-agents

Review notes

Quality score needs review

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
86

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

Trust

Production candidate
89

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency risk, and install availability.

Audit

Safe to try
92

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

Agent safety v2

72/100 · 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.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • Quality score needs review

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 TheGreenCedar/codex-autoresearch

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

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

98/100

Coding agents

Platforms

TypeScript, AI Agents, Claude Code, OpenAI Agents

Audit report

Safe to try · 92/100

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

View audit 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.

98
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

  • 669 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 86/100 quality profile
  • 2 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

Production candidate

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency risk, and install availability.

89
Trust score

GitHub adoption

INFO

669 GitHub stars

Recent maintenance

PASS

2d since push

License clarity

PASS

Apache-2.0

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Meaningful GitHub adoption signal

Review before install

  • Quality score needs review

Recommended action

Shortlist for production use, then run a normal repository and dependency review.

Quality profile

Excellent candidate for agent workflows

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

86
GitHub stars
669
Freshness
2d ago
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build speed, bundle size, model loss, Lighthouse scores, memory use, query latency, or any other metric you can print from a script.

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

typescriptFULL
ai-agentsFULL

Technical Details

Version
1.0.0
License
Apache-2.0
Last Updated
6/14/2026
Published
6/7/2026

Frameworks & Tools

TypeScriptAI Agents

Decision snapshot

Primary pick

98
Ready
Adopt
Stage

669 GitHub stars

Audit Snapshot

Install and adoption review

92
Safe to try
Security
97/100
Maintenance
100/100
Install
92/100
Open full audit

Growth loop

Share this skill

X

Scenario-led draft for Codex Autoresearch, with the OpenAgentSkill Update theme and canonical URL.

OpenAgentSkill Update
Today: Codex Autoresearch

Use it when you want an agent to turn market noise into source-backed research, ranked candid...

669 stars - agent-skills
Link: https://www.openagentskill.com/skills/thegreencedar-codex-autoresearch?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for Codex Autoresearch:
https://www.openagentskill.com/skills/thegreencedar-codex-autoresearch?ref=x

Install: npx skills add TheGreenCedar/codex-autoresearch

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 TheGreenCedar 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.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/thegreencedar-codex-autoresearch)](https://www.openagentskill.com/skills/thegreencedar-codex-autoresearch)

Author

T

TheGreenCedar

@thegreencedar

Health Signals

GitHub stars
669
Quality score
53/100
Last GitHub push
Jun 13, 2026
Framework hints
2
OpenAgentSkill views
2
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

Production candidate

89
  • GitHub adoption669 GitHub starsINFO
  • Recent maintenance2d since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency riskno major dependency risk hints in public metadataPASS
  • Install availabilitynpx skills add TheGreenCedar/codex-autoresearchPASS