Star200+

S3

REVIEW · 72
Community indexed

[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)

Downloads0
Stars837
Version1.0.0
Quality69/100 · Promising
Trust72/100 · Sandbox only
Audit77/100 · Needs review

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 pat-jj/s3

Maintenance

stable

9mo since push

Risk

Needs review

Quality score needs review

GitHub quality

837

69/100 Quality · 80/100 Trust

Coverage tags

ResearchRAG and knowledgerag-knowledgeragretrieval

Review notes

Quality score needs review · 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

Promising
69

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
72

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
77

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.

PythonRAGCodexClaude CodeCursor

Stars

837 GitHub stars

Repo activity

837 stars, 143 forks

Maintenance

9mo since push

License

Apache-2.0

Install

npx skills add pat-jj/s3

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

  • Quality score needs review

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

  • RAG and knowledge workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Chunk documents

Suited agents

PythonRAGCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add pat-jj/s3
Policy
review
Human review
yes

Trust and risk

Trust
72/100
Audit
77/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add pat-jj/s3
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
  • Quality score needs review
  • Production credentials, payments, or irreversible account changes without explicit human review

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Agent safety v2

61/100 · 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

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

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 pat-jj/s3

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%20S3%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20S3%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/pat-jj-s3/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 S3 in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20S3%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/pat-jj-s3/install
Install command: npx skills add pat-jj/s3
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/pat-jj-s3/install

LLM text format

/api/skills/pat-jj-s3/install?format=text

Find alternatives

/api/skills/search?q=S3&limit=3

Agent prompt

Use S3 for this task. Review https://www.openagentskill.com/api/skills/pat-jj-s3/install, then install with: npx skills add pat-jj/s3

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/pat-jj-s3

LLM text

/api/registry/manifest/pat-jj-s3?format=text

Install alias

/api/registry/install/pat-jj-s3

Recommend

/api/registry/recommend?task=Use%20S3%20in%20an%20agent%20workflow&limit=3

Agent fit

72/100

RAG and knowledge

Use-case tags

RAG and knowledgeGitHub automationCoding agents

Platforms

Python, RAG, Claude Code, OpenAI Agents

Audit report

Needs review · 77/100

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

View audit reportView eval report

Agent decision cockpit

Companion skill for RAG and knowledge

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

72
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

RAG and knowledge

Trust label

Strong shortlist

Install path

Command ready

Use when

  • RAG and knowledge workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 837 GitHub stars
  • install command or GitHub repo available
  • 69/100 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 RAG and knowledge 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.

72
OpenAgentSkill Trust Score

GitHub adoption

INFO

837 GitHub stars

Stars/forks activity

INFO

837 stars, 143 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

9mo since push

License clarity

PASS

Apache-2.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • 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

  • Quality score needs review
  • 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

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

69
GitHub stars
837
Freshness
9mo ago
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Search private knowledge

RAG and knowledge

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

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.

Workflow fit

Add it to a complete workflow

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.

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.

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.

Alternative shortlist

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Overview

[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)

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
ragFULL

Technical details

Version
1.0.0
License
Apache-2.0
Last updated
Jun 13, 2026
Published
May 24, 2026

Frameworks & tools

PythonRAG

Decision snapshot

Companion skill

72
Ready
Shortlist
Stage

837 GitHub stars

Audit

Install review

Install and adoption review

77
Needs review
Security
89/100
Maintenance
62/100
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 S3, ready for a manual X post.

Curator note
For source-backed research, this is a skill worth shortlisting before another blank prompt.

S3: [EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)

837 stars

https://www.openagentskill.com/skills/pat-jj-s3?ref=x
Open X draft
Optional reply with install command
Listing + install path for S3:
https://www.openagentskill.com/skills/pat-jj-s3?ref=x

Install: npx skills add pat-jj/s3
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
pat-jj
Source
pat-jj/s3
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 pat-jj 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/pat-jj-s3?metric=listed&label=Listed)](https://www.openagentskill.com/skills/pat-jj-s3)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/pat-jj-s3?metric=trust&label=Trust)](https://www.openagentskill.com/skills/pat-jj-s3)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/pat-jj-s3?metric=audit&label=Audit)](https://www.openagentskill.com/skills/pat-jj-s3/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/pat-jj-s3?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/pat-jj-s3)
Preview badge Open audit Creator kit

Author

P

pat-jj

@pat-jj

Tags

ragretrievalknowledgeagentic-aiefficiencygpt-5information-retrievallarge-language-modelsrlvrsearch-agent

Platform fit

Claude CodeOpenAI Agents

Health signals

GitHub stars
837
Quality score
43/100
Last GitHub push
Nov 5, 2025
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

Sandbox only

72
  • GitHub adoption837 GitHub starsINFO
  • Stars/forks activity837 stars, 143 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance9mo since pushINFO
  • 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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