Fb Friend List Scraper Audit Report | OpenAgentSkill | OpenAgentSkill

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Skill audit report

Fb Friend List Scraper audit report.

OSINT tool to scrape names and usernames from large friend lists on Facebook, without being rate limited.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jul 21, 2026Heuristic metadata audit

63

Audit

71

Trust

51

Quality

85

Security

20

Maintain

92

Install

OpenAgentSkill Trust Score

71

Manual review

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

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

Compare Safety Gate Skills Registry Rankings Outcomes Audits Official Weekly Reports Monthly Index State of Agent Skills vs skills.sh AgentSkills.io Alternative

Build

Docs About OpenAgentSkill API llms.txt OpenAPI CLI Creator Kit X Growth Kit Submit Blog Guides Activity

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PrivacyBuilt for agent-native discovery

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

62

324 GitHub stars

Stars/forks activity

WARN

57

324 stars, 28 forks; issue activity unavailable in current metadata

Recent maintenance

FAIL

22

4y since push

License clarity

PASS

86

GPL-3.0

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 n0kovo/fb_friend_list_scraper

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/n0kovo/fb_friend_list_scraper

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 passed · 8 review

Install path

92

PASS

npx skills add n0kovo/fb_friend_list_scraper

Repository

88

PASS

https://github.com/n0kovo/fb_friend_list_scraper

License

86

PASS

GPL-3.0

Maintenance

20

FIX

4y 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

57

FIX

324 stars, 28 forks; issue activity unavailable in current metadata

Adoption

68

INFO

324 GitHub stars

Warnings

Repository appears stale
Repository looks stale
Quality score needs review
Stars/forks activity: 324 stars, 28 forks; issue activity unavailable in current metadata
Recent maintenance: 4y since push

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 n0kovo/fb_friend_list_scraper

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 + Web Automation
Alternatives: 3

Open agent JSON

Signals

Audit score: 63/100
Quality: 51/100
Trust: 71/100
Install safety: 92/100
Permission surface: 72/100
Maintenance: 4y since push
Events: 4 events
GitHub stars: 324
Last push: Dec 15, 2022

Agent safety v2

43/100 · 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.

Repository appears stale
43/100 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.

Repository appears stale

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