Skill audit report

Trading Backtest audit report.

A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jul 4, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Strong shortlist

Stars, maintenance, license, docs, install safety, permission surface, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

350 GitHub stars

Stars/forks activity

INFO

350 stars, 138 forks; issue activity unavailable in current metadata

Recent maintenance

FAIL

5y since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

no major dependency risk hints in public metadata

Install availability

PASS

npx skills add lukstei/trading-backtest

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

filesystem or document access

Repository evidence

PASS

https://github.com/lukstei/trading-backtest

Review status

PASS

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

8 passed · 6 review

Install path

PASS

npx skills add lukstei/trading-backtest

Repository

PASS

https://github.com/lukstei/trading-backtest

License

PASS

MIT

Maintenance

FIX

5y since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

no major dependency risk hints in public metadata

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

filesystem or document access

Stars/forks activity

CHECK

350 stars, 138 forks; issue activity unavailable in current metadata

Adoption

INFO

350 GitHub stars

Warnings

Repository appears stale
Repository looks stale
Quality score needs review
Recent maintenance: 5y since push

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.

Install path

Review the report before installing into production agents.

$ npx skills add lukstei/trading-backtest

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Java + Finance
Alternatives: 3

Open agent JSON

Signals

Audit score: 65/100
Quality: 52/100
Trust: 73/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 5y since push
Events: 2 events
GitHub stars: 350
Last push: Jul 20, 2021

Agent safety v2

49/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

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

Repository appears stale
49/100 agent safety score

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Repository appears stale

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Trading Backtest audit report.

Stars, maintenance, license, docs, install safety, permission surface, and installability.

Install and adoption review

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