alphaear-predictor
Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.
58
66%
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Critical
Do not install without reviewing
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tessl review fix ./skills/alphaear-predictor/SKILL.mdSecurity
2 findings: 2 critical severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
E005: Suspicious download URL detected in skill instructions.
What this means
Detected a suspicious URL in the skill instructions that could lead the agent to download and execute malicious scripts or binaries. This includes links to executables from untrusted sources, typosquatting of official packages, URL shorteners that obscure the destination, and personal file hosting services.
Why it was flagged
The only potentially risky link is the third‑party GitHub repo (an individual/unvetted source that could host releases or model weights outside official channels); the remaining URLs are academic papers, known gists, Jina previews, or official API endpoints and are low risk for executable distribution.
E006: Malicious code pattern detected in skill scripts.
What this means
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
Why it was flagged
The codebase includes unsafe model-checkpoint loading patterns (fallback to legacy torch.load and unguarded torch.load usage) which can enable supply‑chain/backdoor remote code execution if untrusted .pt files are placed in model directories.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The required runtime workflow for forecasting does include an LLM “Adjust Forecast” step that injects `{news_context}` (constructed from potentially outsider-authored news content) into the LLM prompt (`references/PROMPTS.md`), so there is an indirect prompt-injection risk via news text.
- Repository
- RKiding/Awesome-finance-skills
- Commit
853f09b
- Audited
- Security analysis
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