AgileRL

TRUSTED · 89

Community indexed

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Downloads 0

Stars 925

Version 1.0.0

Quality 87/100 · Excellent

Trust 89/100 · Production candidate

Audit 92/100 · 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

Coding agents

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

Agent fit

Claude Code + CLI + Codex

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

Install

Ready

npx skills add AgileRL/AgileRL

Maintenance

fresh

3d since push

Risk

Safe to try

Quality score needs review

GitHub quality

925

87/100 quality · 89/100 trust

Coverage tags

CodingCoding agentsagent-frameworksmulti-agentorchestration

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

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

Trust

Production candidate

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

Audit

Safe to try

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

Agent safety v2

76/100 · 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.

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 AgileRL/AgileRL

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

Resolve text

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

Install handoff

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

LLM text format

/api/skills/agilerl-agilerl/install?format=text

Find alternatives

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

Agent prompt

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

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/agilerl-agilerl

LLM text

/api/registry/manifest/agilerl-agilerl?format=text

Install alias

/api/registry/install/agilerl-agilerl

Recommend

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

Agent fit

98/100

Coding agents

Use-case tags

Coding agents RAG and knowledge Workflow automation

Platforms

Python, Multi-Agent, Claude Code

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.

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

925 GitHub stars
recent repository activity
install command or GitHub repo available
87/100 quality profile
1 OpenAgentSkill engagement events

Review first

No major risk signals from current metadata

Implementation path

1Install it in a sandbox agent and run one Coding agents task end to end.
2Compare output quality, latency, and failure behavior against at least one alternative.
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.

Trust score

GitHub adoption

INFO

925 GitHub stars

Recent maintenance

PASS

3d 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.

GitHub stars

925

Freshness

3d 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.

Search private knowledge

RAG and knowledge

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

Automate repeated work

Workflow automation

I need my agent to automate a repeated workflow across tools and files.

Stack fit

Add it to a complete workflow

Turn skills into distribution

Content growth agent

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

Inspect, patch, and verify code

Coding review agent

A stack 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 stack 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 in this category, ranked with the same readiness and quality signals.

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Firecrawl

The API to search, scrape, and interact with the web at scale. 🔥

Hermes Agent

The agent that grows with you

Overview

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

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

multi-agentFULL

Technical Details

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

Frameworks & Tools

PythonMulti-Agent

Decision snapshot

Primary pick

Ready

Adopt

Stage

925 GitHub stars

Audit Snapshot

Install and adoption review

Safe to try

Security: 97/100
Maintenance: 100/100
Install: 92/100

Open full audit

Install

Free and open source

Compare Alternatives Auto-resolve Plan View on GitHub Documentation

Growth loop

Share this skill

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

OpenAgentSkill Update
Today: AgileRL

Use it when you want to move a repeatable work routine from manual steps into an agent workflow.

925 stars - agent-frameworks
Link: https://www.openagentskill.com/skills/agilerl-agilerl?ref=x
#AIAgents #OpenAgentSkill

Open X draft

Optional reply with install command

Link for AgileRL:
https://www.openagentskill.com/skills/agilerl-agilerl?ref=x

Install: npx skills add AgileRL/AgileRL

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: AgileRL
Source: AgileRL/AgileRL
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 AgileRL 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/agilerl-agilerl)](https://www.openagentskill.com/skills/agilerl-agilerl)

Preview badge Audit badge

Author

AgileRL

@agilerl

Platform Fit

Claude Code

Health Signals

GitHub stars: 925
Quality score: 54/100
Last GitHub push: Jun 12, 2026
Framework hints: 2
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

Production candidate

GitHub adoption925 GitHub starsINFO
Recent maintenance3d 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 AgileRL/AgileRLPASS

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AgileRL

Coding and developer agents

Trust, audit, and install readiness at a glance

76/100 · Review before install

Network access

Filesystem access

Install this skill in your agent workflow

OpenAgentSkill CLI

Let an agent verify fit before installing.

Give an agent the install path, not another directory page.

Agent-readable profile for automatic skill selection.

Safe to try · 92/100

Primary pick for Coding agents

Production candidate

Excellent candidate for agent workflows

Use this skill in these scenarios

Coding agents

RAG and knowledge

Workflow automation

Add it to a complete workflow

Content growth agent

Coding review agent

RAG knowledge base

Compare before you install

AutoGPT

Langchain

Firecrawl

Hermes Agent

Overview

Platform Compatibility

Technical Details

Primary pick

Audit Snapshot

Install

Share this skill

Community indexed

Claim this skill listing

README badge

Author

Tags

Platform Fit

Health Signals

Community Signal

Trust & Safety

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