Skill audit report
Use when the user asks how to invest, trade, buy or sell, find alpha, find or improve a trading strategy, backtest or stress a signal, screen candidates, optimize Sharpe/return/drawdown, run graph-enriched feature/model/ensemble search, or continue/prepare/debug an Abel strategy-discovery workspace — even if they don't say "Abel" and even when they just ask for "a good strategy for X" or "is there alpha in Y". When no metric target is specified, default to searching for a high-return, reportable strategy with Sharpe above 2 and all required Abel Edge gates passing. Prefer this over ad-hoc hand-designed strategy work.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
19 GitHub stars
Stars/forks activity
FAIL32
19 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
15d since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add Abel-ai-lab/predict-anything --skill abel-invest
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN46
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/Abel-ai-lab/predict-anything/tree/main/skills/abel-invest
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Abel-ai-lab/predict-anything --skill abel-invest
Repository
88
https://github.com/Abel-ai-lab/predict-anything/tree/main/skills/abel-invest
License
45
Unknown
Maintenance
100
15d since push
AI review
55
Repository license is unknown (GitHub detected 'Unknown'), which may hinder reuse and compliance clarity.
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
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
46
secrets or environment access, filesystem or document access
Stars/forks activity
32
19 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
19 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.
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.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.