Skill audit report
JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
451 GitHub stars
Stars/forks activity
INFO62
451 stars, 67 forks; issue activity unavailable in current metadata
Recent maintenance
INFO62
9mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add AI-Hypercomputer/JetStream
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/AI-Hypercomputer/JetStream
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add AI-Hypercomputer/JetStream
Repository
88
https://github.com/AI-Hypercomputer/JetStream
License
86
Apache-2.0
Maintenance
62
9mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
62
451 stars, 67 forks; issue activity unavailable in current metadata
Adoption
68
451 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
Compare nearby options
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
175K Stars · Audit report
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
97K Stars · Audit report
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
92K Stars · Audit report