Skill audit report

Deep Research Agent audit report.

Multi-agent autonomous research system using LangGraph and LangChain. Generates citation-backed reports with credibility scoring and web search

REVIEWED · REVIEWNeeds reviewGenerated Jul 3, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Strong shortlist

Stars, maintenance, license, docs, install safety, permission surface, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

173 GitHub stars

Stars/forks activity

WARN

173 stars, 29 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

network or browser surface

Install availability

PASS

npx skills add tarun7r/deep-research-agent

Install command safety

PASS

standard package or runtime install path

Permission surface

INFO

filesystem or document access, network or browser access

Repository evidence

PASS

https://github.com/tarun7r/deep-research-agent

Review status

PASS

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

8 passed · 4 review

Install path

PASS

npx skills add tarun7r/deep-research-agent

Repository

PASS

https://github.com/tarun7r/deep-research-agent

License

PASS

MIT

Maintenance

PASS

3mo since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

network or browser surface

Install command safety

PASS

standard package or runtime install path

Permission surface

CHECK

filesystem or document access, network or browser access

Stars/forks activity

FIX

173 stars, 29 forks; issue activity unavailable in current metadata

Adoption

INFO

173 GitHub stars

Warnings

Quality score needs review
Stars/forks activity: 173 stars, 29 forks; issue activity unavailable in current metadata

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.

$ npx skills add tarun7r/deep-research-agent

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: Python + Research Agent
Alternatives: 3

Open agent JSON

Signals

Audit score: 81/100
Quality: 74/100
Trust: 79/100
Install safety: 92/100
Permission surface: 72/100
Maintenance: 3mo since push
Events: No events yet
GitHub stars: 173
Last push: Apr 4, 2026

Agent safety v2

65/100 · 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.

Quality score needs review
65/100 agent safety score

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.

Quality score needs review

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Deep Research Agent audit report.

Stars, maintenance, license, docs, install safety, permission surface, and installability.

Install and adoption review

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