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Skill audit report

Seq2seq Chatbot audit report.

Chatbot in 200 lines of code using TensorLayer

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
63
Audit
68
Trust
51
Quality
88
Security
20
Maintain
92
Install

OpenAgentSkill Trust Score

68
Manual review

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

INFO

76

840 GitHub stars

Recent maintenance

FAIL

22

5y since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add tensorlayer/seq2seq-chatbot

Repository evidence

PASS

86

https://github.com/tensorlayer/seq2seq-chatbot

Review status

PASS

88

AI review data available

Checks

Install and adoption review

6 passed · 8 review

Install path

92

PASS

npx skills add tensorlayer/seq2seq-chatbot

Repository

88

PASS

https://github.com/tensorlayer/seq2seq-chatbot

License

45

CHECK

Unknown

Maintenance

20

FIX

5y since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

840 GitHub stars

Warnings

  • License is unclear
  • Repository appears stale
  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 5y 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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