edge-candidate-agent
Generate and prioritize US equity long-side edge research tickets from EOD observations, then export pipeline-ready candidate specs for trade-strategy-pipeline Phase I. Use when users ask to turn hypotheses/anomalies into reproducible research tickets, convert validated ideas into `strategy.yaml` + `metadata.json`, or preflight-check interface compatibility (`edge-finder-candidate/v1`) before running pipeline backtests.
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Low
Low-risk findings worth noting
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 path `scripts/auto_detect_candidates.py` can invoke an outsider-supplied external command via `--llm-ideas-cmd`, then reads its stdout (`result.stdout`) with `yaml.safe_load(stdout)` and uses the resulting hint text to generate tickets, which is later exported into `strategy.yaml`/validated by `scripts/validate_candidate.py` (i.e., free-form LLM output from an untrusted command becomes LLM-relevant prose through ticket fields).
- Repository
- tradermonty/claude-trading-skills
- Commit
62a1635
- Audited
- Security analysis
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