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Skills/data/LaVague

LaVague

REVIEW · 74
Community indexed

Large Action Model framework to develop AI Web Agents

Downloads0
Stars6.4K
Version1.0.0
Quality79/100 · Strong
Trust74/100 · Sandbox only
Audit77/100 · Needs review

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 + Browser agents + CLI

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

Install

Ready

npx skills add lavague-ai/LaVague

Maintenance

stale

1y since push

Risk

Needs review

Repository appears stale

GitHub quality

6.4K

79/100 quality · 82/100 trust

Coverage tags

CodingCoding agentsdataragretrieval

Review notes

Repository appears stale · Repository looks stale

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

Strong
79

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
74

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

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

6.4K GitHub stars

Repo activity

6.4K stars, 574 forks

Maintenance

1y since push

License

Apache-2.0

Install

npx skills add lavague-ai/LaVague

Install safety

standard package or runtime install path

Permission surface

network or browser access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • Repository looks stale
  • Quality score needs review
  • Documentation summary is thin
  • Recent maintenance: 1y since push

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

PythonRAGCodexClaude CodeCursorOpenAgentSkill CLIBrowser agentsCLI

Install decision

Command
npx skills add lavague-ai/LaVague
Policy
review
Human review
yes

Trust and risk

Trust
74/100
Audit
77/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add lavague-ai/LaVague
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • Repository appears stale
  • Quality score needs 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

Browser automation

Skill may drive a browser or interact with web pages.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

  • Repository appears stale

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 lavague-ai/LaVague

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

Resolve text

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

Install handoff

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

LLM text format

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

Find alternatives

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

Agent prompt

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

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/lavague-ai-lavague

LLM text

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

Install alias

/api/registry/install/lavague-ai-lavague

Recommend

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

Agent fit

83/100

Coding agents

Use-case tags

Coding agentsRAG and knowledgeBrowser automation

Platforms

Python, RAG, Claude Code, Browser agents

Audit report

Needs review · 77/100

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

Companion skill for Coding agents

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

83
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

Coding agents

Trust label

Strong shortlist

Install path

Command ready

Use when

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

Evidence

  • 6,372 GitHub stars
  • install command or GitHub repo available
  • 79/100 quality profile
  • 5 OpenAgentSkill engagement events

Review first

  • Repository looks stale

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

Sandbox only

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

74
Trust score

GitHub adoption

PASS

6.4K GitHub stars

Stars/forks activity

PASS

6.4K stars, 574 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

1y since push

License clarity

PASS

Apache-2.0

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • 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

  • Repository looks stale
  • Quality score needs review
  • Documentation summary is thin
  • Recent maintenance: 1y since push
  • 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

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

79
GitHub stars
6.4K
Freshness
1y ago
Install ready
Yes
License
Apache-2.0
Check before install: Repository looks stale

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.

Operate web apps

Browser automation

I need my agent to control a browser, fill forms, and verify web app workflows.

Stack fit

Add it to a complete workflow

Scrape, clean, and reuse web data

Web data pipeline

A practical stack for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG 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

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Overview

Large Action Model framework to develop AI Web Agents

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, 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
6/16/2026
Published
5/23/2026

Frameworks & Tools

PythonRAG

Decision snapshot

Companion skill

83
Ready
Shortlist
Stage

6,372 GitHub stars

Audit snapshot

Install review

Install and adoption review

77
Needs review
Security
87/100
Maintenance
38/100
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 LaVague, ready for a manual X post.

Curator note
Most web agents fail in the boring part: messy pages, missing context, repeatable extraction.

LaVague gives agents a cleaner path to browse, extract, and monitor web pages.

6.4K stars

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

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

Author

L

lavague-ai✓

@lavague-ai

Tags

ragretrievalaibrowserlarge-action-modelllmosspythongithub

Platform Fit

Claude CodeBrowser agents

Health Signals

GitHub stars
6.4K
Quality score
53/100
Last GitHub push
Jan 21, 2025
Framework hints
2
OpenAgentSkill views
3
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

74
  • GitHub adoption6.4K GitHub starsPASS
  • Stars/forks activity6.4K stars, 574 forks; issue activity unavailable in current metadataPASS
  • Recent maintenance1y since pushFIX
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime risknetwork or browser surfacePASS

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