ai signal hallucination firewall

The problem

AI agents often generate financial predictions without citing sources or admitting uncertainty. This leads to "black box" signals that are dangerous to act on and impossible to audit for accuracy.

What it does

• Forces specific data source identification for every market claim.
• Enforces ISO 8601 timestamps to distinguish between data age and generation time.
• Requires quantified evidence and statistical support for all price targets.
• Mandates clear invalidation conditions to define exactly when a signal is no longer valid.

Why this beats prompting it yourself

Standard prompts often produce vague "momentum" claims that lack accountability. This skill implements a rigid five-point verification framework that prevents the LLM from glossing over data gaps or ignoring market risks.

Use cases

• Generating trade signals with built-in stop-loss triggers based on invalidation logic.
• Auditing automated market research reports for data provenance.
• Creating risk-aware price forecasts that include explicit confidence intervals.