Skill audit report

quantitative-screening Audit report.

Quantitative stock screening, forward-looking valuation outlier detection, backward-looking financial statement validation, PEG ratio analysis, earnings growth profile assessment, turnaround vs value trap discrimination, data mining bias prevention

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 5, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

INFO

203 GitHub stars

Stars/forks activity

WARN

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

Recent maintenance

PASS

2mo since push

License clarity

PASS

Apache-2.0

README/SKILL.md completeness

INFO

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

no major dependency risk hints in public metadata

Install availability

PASS

npx skills add agentii-ai/agentii-investment-intelligence --skill quantitative-screening

Install command safety

PASS

standard package or runtime install path

Permission surface

INFO

filesystem or document access, database access

Repository evidence

PASS

https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/idea-generation/skills/agentii/quantitative-screening

Review status

INFO

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 10 Needs review

Install path

PASS

npx skills add agentii-ai/agentii-investment-intelligence --skill quantitative-screening

Repository

PASS

https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/idea-generation/skills/agentii/quantitative-screening

License

PASS

Apache-2.0

Maintenance

PASS

2mo since push

AI review

CHECK

The skill references contracts/preflight.md and contracts/x-agentii-trace-header.md which are not included in the submission; ensure these are available in the repository.

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

CHECK

filesystem or document access, database access

Stars/forks activity

FIX

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

Adoption

INFO

203 GitHub stars

Financial decision safety

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

Financial research output is not financial advice; require human review before any live investment decision
The skill references contracts/preflight.md and contracts/x-agentii-trace-header.md which are not included in the submission; ensure these are available in the repository.
The allowed_tools list includes only three tools, but the methodology mentions search_institutional_holdings and search_insider_trades as signal inputs; clarify whether these are intended to be used or if they are optional external references.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Stars/forks activity: 203 stars, 16 forks; issue activity unavailable in current metadata

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 agentii-ai/agentii-investment-intelligence --skill quantitative-screening

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: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 76/100
Quality: 67/100
Trust: 71/100
Install safety: 92/100
Permission surface: 74/100
Maintenance: 2mo since push
Events: 21 events
GitHub stars: 203
Last push: Sep 4, 2026

Agent safety v2

52/100 · 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.

Financial research output is not financial advice; require human review before any live investment decision
52/100 agent safety score

Browser automation

medium

Skill may drive a browser or interact with web pages.

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.

Database access

medium

Skill may inspect schemas, query databases, or work with persistent stores.

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

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