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Web Llm Chat Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/Web Llm Chat/Audit

Skill audit report

Web Llm Chat Audit report.

Chat with AI large language models running natively in your browser. Enjoy private, server-free, seamless AI conversations.

REVIEWED · REVIEWNeeds reviewGenerated Sep 17, 2026Heuristic metadata audit

82

Audit

84

Trust

84

Quality

86

Security

62

Maintain

92

Install

OpenAgentSkill Trust Score

84

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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Trust

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Build

Docs About Contact API

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llms.txt OpenAPI CLI Creator Kit Skill Creators X Growth Kit Submit Blog Guides Activity

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Privacy ContactBuilt for agent-native discovery

Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

1.0K GitHub stars

Stars/forks activity

INFO

77

1.0K stars, 221 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

62

7mo since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add mlc-ai/web-llm-chat

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

72

filesystem or document access, network or browser access

Repository evidence

PASS

86

https://github.com/mlc-ai/web-llm-chat

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 7 Needs review

Install path

92

PASS

npx skills add mlc-ai/web-llm-chat

Repository

88

PASS

https://github.com/mlc-ai/web-llm-chat

License

86

PASS

Apache-2.0

Maintenance

62

CHECK

7mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

82

PASS

network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

72

CHECK

filesystem or document access, network or browser access

Stars/forks activity

77

CHECK

1.0K stars, 221 forks; issue activity unavailable in current metadata

Adoption

88

PASS

1.0K GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

Financial research output is not financial advice; require human review before any live investment decision
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Install path

Review the report before installing into production agents.

Review the source

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: TypeScript + Privacy
Alternatives: 3

Open agent JSON

Signals

Audit score: 82/100
Quality: 84/100
Trust: 84/100
Install safety: 92/100
Permission surface: 72/100
Maintenance: 7mo since push
Events: 20 events
GitHub stars: 1.0K
Last push: Feb 18, 2026

Agent safety v2

62/100 · Avoid automatic install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.
Financial research output is not financial advice; require human review before any live investment decision
62/100 agent safety score

Browser automation

medium

Skill may drive a browser or interact with web pages.

Network access

medium

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

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

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