alphaear-signal-tracker — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited alphaear-signal-tracker (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
This skill provides logic to track and update investment signals. It assesses how new market information impacts existing signals (Strengthened, Weakened, Falsified, or Unchanged).
YOU (the Agent) are the Tracker. Use the prompts in references/PROMPTS.md.
Workflow:
InvestmentSignal.Tools:
alphaear-search and alphaear-stock skills to gather the necessary data.scripts/fin_agent.py helper _sanitize_signal_output if needing to clean JSON.Key Logic:
Example Usage (Conceptual):
# This skill is currently a pattern extracted from FinAgent.
# In a future refactor, it should be a standalone utility class.
# For now, refer to `scripts/fin_agent.py`'s `track_signal` method implementation.agno (Agent framework)sqlite3 (built-in)Ensure DatabaseManager is initialized correctly.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.