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Skill audit report

CrawlProject audit report.

python爬虫项目合集，从基础到js逆向，包含基础篇、自动化篇、进阶篇以及验证码篇。案例涵盖各大网站(xhs douyin weibo ins boss job，jd...)，你将会学到有关爬虫以及反爬虫、自动化和验证码的各方面知识

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
73
Audit
79
Trust
68
Quality
88
Security
38
Maintain
92
Install

OpenAgentSkill Trust Score

79
Strong shortlist

Stars, maintenance, license, docs, dependency risk, 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

PASS

86

1.7K GitHub stars

Recent maintenance

FAIL

38

2y since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add xishandong/crawlProject

Repository evidence

PASS

86

https://github.com/xishandong/crawlProject

Review status

PASS

88

AI review data available

Checks

Install and adoption review

6 passed · 8 review

Install path

92

PASS

npx skills add xishandong/crawlProject

Repository

88

PASS

https://github.com/xishandong/crawlProject

License

45

CHECK

Unknown

Maintenance

38

FIX

2y 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

Adoption

88

PASS

1.7K GitHub stars

Warnings

  • License is unclear
  • Repository appears stale
  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 2y since push
  • License clarity: Unknown

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.

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