Star0

Loong

REVIEW · 69
Community indexed

[EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

Downloads0
Stars154
Version1.0.0
Quality61/100 · Promising
Trust69/100 · Sandbox only
Audit74/100 · 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 + CLI + Codex

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

Install

Ready

npx skills add MozerWang/Loong

Maintenance

stable

6mo since push

Risk

Needs review

Quality score needs review

GitHub quality

154

61/100 quality · 77/100 trust

Coverage tags

ResearchRAG and knowledgerag-knowledgeragretrieval

Review notes

Quality score needs review · Stars/forks activity: 154 stars, 12 forks; issue activity unavailable in current 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

Promising
61

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
69

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

Audit

Needs review
74

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

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

154 GitHub stars

Repo activity

154 stars, 12 forks

Maintenance

6mo since push

License

Apache-2.0

Install

npx skills add MozerWang/Loong

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
  • Stars/forks activity: 154 stars, 12 forks; issue activity unavailable in current 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

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Chunk documents

Suited agents

PythonRAGCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add MozerWang/Loong
Policy
review
Human review
yes

Trust and risk

Trust
69/100
Audit
74/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add MozerWang/Loong
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • Quality score needs review
  • Stars/forks activity: 154 stars, 12 forks; issue activity unavailable in current metadata

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Agent safety v2

58/100 · 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

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 MozerWang/Loong

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

Resolve text

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

Install handoff

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

LLM text format

/api/skills/mozerwang-loong/install?format=text

Find alternatives

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

Agent prompt

Use Loong for this task. Review https://www.openagentskill.com/api/skills/mozerwang-loong/install, then install with: npx skills add MozerWang/Loong

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/mozerwang-loong

LLM text

/api/registry/manifest/mozerwang-loong?format=text

Install alias

/api/registry/install/mozerwang-loong

Recommend

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

Agent fit

51/100

RAG and knowledge

Use-case tags

RAG and knowledgeCoding agentsWorkflow automation

Platforms

Python, RAG, Claude Code

Audit report

Needs review · 74/100

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

Needs validation for RAG and knowledge

Do a manual repository review before adding this to an agent workflow.

51
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

RAG and knowledge

Trust label

Needs manual review

Install path

Command ready

Use when

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • install command or GitHub repo available
  • 61/100 quality profile

Review first

  • No OpenAgentSkill engagement data yet

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.

69
Trust score

GitHub adoption

INFO

154 GitHub stars

Stars/forks activity

CHECK

154 stars, 12 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

6mo since push

License clarity

PASS

Apache-2.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • 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
  • Stars/forks activity: 154 stars, 12 forks; issue activity unavailable in current metadata
  • 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.

61
GitHub stars
154
Freshness
6mo 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.

Build and ship code

Coding agents

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

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

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.

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.

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Overview

[EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

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
6/21/2026
Published
6/21/2026

Frameworks & Tools

PythonRAG

Decision snapshot

Needs validation

51
Ready
Review
Stage

install command or GitHub repo available

Audit snapshot

Install review

Install and adoption review

74
Needs review
Security
88/100
Maintenance
62/100
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 Loong, ready for a manual X post.

Curator note
The useful research skills are not search wrappers. They help agents keep sources attached.

Loong helps agents turn docs, data, or knowledge bases into grounded work.

154 stars

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

Install: npx skills add MozerWang/Loong
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
MozerWang
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 MozerWang 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/mozerwang-loong)](https://www.openagentskill.com/skills/mozerwang-loong)
Preview badgeAudit badge

Author

M

MozerWang

@mozerwang

Tags

ragretrievalknowledgelarge-language-modelslong-contextlong-context-modelingmulti-document-ragquestion-answeringretrieval-augmented-generationpython

Platform Fit

Claude Code

Health Signals

GitHub stars
154
Quality score
38/100
Last GitHub push
Dec 22, 2025
Framework hints
2
OpenAgentSkill views
0
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

69
  • GitHub adoption154 GitHub starsINFO
  • Stars/forks activity154 stars, 12 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance6mo 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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