Skill audit report
Develops Algorand smart contracts in TypeScript using Algorand TypeScript (PuyaTs). Covers contract syntax, AVM types, storage patterns, transactions, ABI methods, testing, deployment, and AlgoKit Utils. Use when: (1) writing or modifying .algo.ts smart contracts, (2) using uint64, bytes, GlobalState, BoxMap, LocalState, itxn, gtxn in contracts, (3) testing contracts with algorandFixture/Vitest, (4) deploying or calling contracts with typed clients, (5) migrating from TEALScript or Algorand TypeScript beta, (6) troubleshooting Puya compiler errors or AVM transaction errors, (7) using AlgorandClient, AppFactory, or generated app clients in TypeScript.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
33 GitHub stars
Stars/forks activity
WARN48
33 stars, 16 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
8d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
command execution surface, database surface
Install availability
PASS92
npx skills add algorand-devrel/algorand-agent-skills --skill algorand-typescript
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/algorand-devrel/algorand-agent-skills/tree/main/skills/algorand-typescript
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add algorand-devrel/algorand-agent-skills --skill algorand-typescript
Repository
88
https://github.com/algorand-devrel/algorand-agent-skills/tree/main/skills/algorand-typescript
License
86
MIT
Maintenance
100
8d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Warnings
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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Usable description available
Dependency risk
64
command execution surface, database surface
Install command safety
92
standard package or runtime install path
Permission surface
36
shell or command execution, filesystem or document access
Stars/forks activity
48
33 stars, 16 forks; issue activity unavailable in current metadata
Adoption
42
33 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.