Skill audit report

signal-lab-apify-tools Audit report.

Use Signal Lab's focused Apify data APIs or Official MCP tools for public YouTube captions, website-to-Markdown RAG ingestion, known job-posting extraction, Amazon price tracking, Google Autocomplete research, Reddit research, and restaurant menu extraction. Use when an agent needs one of these public-data workflows and should choose a bounded, truthful Apify or MCP path instead of inventing scraping capabilities.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Oct 21, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

FAIL

0 GitHub stars

Stars/forks activity

FAIL

0 stars, 0 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

credential or environment access, network or browser surface

Install availability

PASS

npx skills add VZezelin/first --skill signal-lab-apify-tools

Install command safety

PASS

standard package or runtime install path

Permission surface

WARN

secrets or environment access, network or browser access

Repository evidence

PASS

https://github.com/VZezelin/first/tree/main/skills/signal-lab-apify-tools

Review status

INFO

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 14 Needs review

Install path

PASS

npx skills add VZezelin/first --skill signal-lab-apify-tools

Repository

PASS

https://github.com/VZezelin/first/tree/main/skills/signal-lab-apify-tools

License

PASS

MIT

Maintenance

PASS

2mo since push

AI review

CHECK

The SKILL.md is truncated in the excerpt, but the provided content appears complete enough for evaluation.

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

CHECK

credential or environment access, network or browser surface

Install command safety

PASS

standard package or runtime install path

Permission surface

FIX

secrets or environment access, network or browser access

Stars/forks activity

FIX

0 stars, 0 forks; issue activity unavailable in current metadata

Adoption

CHECK

0 GitHub stars

Warnings

Permission surface may require sandboxing
The SKILL.md is truncated in the excerpt, but the provided content appears complete enough for evaluation.
No explicit mention of handling API rate limits or error handling for Apify runs, though the workflow implies waiting for completion.
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, network or browser access
GitHub adoption: 0 GitHub stars
Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata
Permission surface: secrets or environment access, network or browser access

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 VZezelin/first --skill signal-lab-apify-tools

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: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 70/100
Quality: 54/100
Trust: 64/100
Install safety: 92/100
Permission surface: 48/100
Maintenance: 2mo since push
Events: 30 events
GitHub stars: 0
Last push: Sep 5, 2026

Agent safety v2

38/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

High-risk permission hints: Secrets or environment access
38/100 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.

Secrets or environment access

high

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

Database access

medium

Skill may inspect schemas, query databases, or work with persistent stores.

High-risk permission hints: Secrets or environment access
Permission surface may require sandboxing

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