OpenAgentSkill
GitHub200+

Pre-install eval

analyzing-android-malware-with-apktool Eval report.

A machine-readable install decision for agents: task fit, Trust Score, Audit Score, install safety, permission surface, and a concrete validation plan before this skill touches a workspace.

Needs reviewMedium riskREVIEW Policy
73
Eval report
72
Trust
81
Audit
53
Agent safety

manual review

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

Required gates

Checks an agent must pass before install

Open JSON

Task fit

70

warn

Task fit is weak; compare alternatives before selecting.

  • Evaluate analyzing-android-malware-with-apktool before installing it in an agent workflow
  • security
  • Coding agents workflows; Claude Code teams; teams that value GitHub adoption signals

Install path

92

pass

Install handoff is available.

  • npx skills add tradecatlabs/vibe-coding-cn --skill analyzing-android-malware-with-apktool

Install command safety

92

pass

standard package or runtime install path

  • npx skills add tradecatlabs/vibe-coding-cn --skill analyzing-android-malware-with-apktool

Trust score

72

warn

Good trust signals with a few areas worth checking before rollout.

  • Strong shortlist
  • 16K GitHub stars
  • Apache-2.0

Audit score

81

warn

Needs review

  • Financial research output is not financial advice; require human review before any live investment decision

Agent safety gate

53

warn

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: Shell or command execution

License clarity

86

pass

Apache-2.0

  • Apache-2.0

Permission surface

62

warn

shell or command execution, network or browser access

  • Shell or command execution: high
  • Network access: medium
  • Filesystem access: medium

Validation plan

What the agent should do next

  1. 1Inspect repository, README/SKILL.md, license, and recent commits before production use.
  2. 2Install in an isolated workspace or sandbox with no production secrets available.
  3. 3Run the smallest representative task and record files touched, commands run, network access, and outputs.
  4. 4Compare the selected skill against at least one alternative when the eval status is review or failed.
  5. 5Promote only after the agent reports a successful verification result and unresolved warnings are accepted.

Do not use when

Conditions that require another skill

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • SKILL.md lacks explicit usage examples for the provided agent.py CLI and does not document how to install dependencies beyond listing them.
  • High-risk permission hints: Shell or command execution
  • Financial research output is not financial advice; require human review before any live investment decision
  • The skill does not clearly define limitations, edge cases, or failure modes, such as behavior with malformed APKs, obfuscated DEX files, or very large samples.

Supporting checks

Trust signals behind the decision

README/SKILL.md completeness

warn

76

Public metadata needs stronger README/SKILL.md context

Recent maintenance

pass

88

2mo since push

Alternatives available

pass

82

Alternative skills are available for comparison.