OpenAgentSkill
GitHub200+

Skill audit report

algorand-python Audit report.

Develops Algorand smart contracts in Python using PuyaPy — covers syntax, decorators, storage, transactions, types, testing with pytest, deployment, AlgoKit Utils, ARC-4/ARC-56 standards, and error troubleshooting. Use when writing algopy contracts, using @arc4.abimethod decorators, working with GlobalState or BoxMap in Python, testing with AlgorandClient, deploying or calling contracts from Python, or diagnosing PuyaPy compiler and transaction errors.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 5, 2026Heuristic metadata audit
71
Audit
71
Trust
54
Quality
74
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

71
Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

WARN

48

33 GitHub stars

Stars/forks activity

WARN

48

33 stars, 16 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

64

command execution surface, network or browser surface

Install availability

PASS

92

npx skills add algorand-devrel/algorand-agent-skills --skill algorand-python

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/algorand-devrel/algorand-agent-skills/tree/main/skills/algorand-python

Review status

WARN

46

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 14 Needs review

Install path

92

PASS

npx skills add algorand-devrel/algorand-agent-skills --skill algorand-python

Repository

88

PASS

https://github.com/algorand-devrel/algorand-agent-skills/tree/main/skills/algorand-python

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

64

CHECK

command execution surface, network or browser 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

48

FIX

33 stars, 16 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

33 GitHub stars

Warnings

  • Permission surface may require sandboxing
  • Low GitHub adoption signal
  • AI review approval is missing
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • GitHub adoption: 33 GitHub stars
  • Stars/forks activity: 33 stars, 16 forks; issue activity unavailable in current metadata
  • Permission surface: shell or command execution, filesystem or document access
  • Review status: AI review approval is missing

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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