Skill audit report

deepchem Audit report.

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 7, 2026Heuristic metadata audit
83
Audit
77
Trust
90
Quality
75
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

77
Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

PASS

100

44K GitHub stars

Stars/forks activity

PASS

97

44K stars, 4.0K forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT license

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

54

command execution surface, external package install surface

Install availability

PASS

92

npx skills add K-Dense-AI/scientific-agent-skills --skill deepchem

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

48

shell or command execution, filesystem or document access

Repository evidence

PASS

86

https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/deepchem

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 9 Needs review

Install path

92

PASS

npx skills add K-Dense-AI/scientific-agent-skills --skill deepchem

Repository

88

PASS

https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/deepchem

License

86

PASS

MIT license

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

No critical security issues detected. The skill only uses standard file operations and Bash for running Python scripts, with no indication of malicious behavior.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

54

FIX

command execution surface, external package install surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

48

FIX

shell or command execution, filesystem or document access

Stars/forks activity

97

PASS

44K stars, 4.0K forks; issue activity unavailable in current metadata

Adoption

88

PASS

44K GitHub stars

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • No critical security issues detected. The skill only uses standard file operations and Bash for running Python scripts, with no indication of malicious behavior.
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Dependency/runtime risk: command execution surface, external package install surface
  • Permission surface: shell or command execution, filesystem or document 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.

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