trader-explain
Regulator-grade feature attribution for any LSTM/Transformer signal — single-entry PageRank ranks the top-K features that drove the prediction (ADR-126 Phase 6, ADR-123 single-entry PR)
Profile →npx skills add ruvnet/ruflo --skill trader-explain --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
Explain a trading signal by building a feature-contribution graph and running single-entry forward-push PageRank from the signal output node. Top-K ranked features are returned as a markdown table AND persisted to `trading-analysis` as a `SignedAttributionArtifact` (ADR-126 Phase 6). **Why this skill matters:** - EU AI Act + SEC Reg-AI guidance require interpretable model output for any algorithmic trading system that touches retail capital. This is the regulator-grade attribution path the rest of the substrate has been waiting for. - The same call site picks up the full native-WASM PageRank from `mcp__ruflo-sublinear__page-rank-entry` once that tool is registered in the runtime — until then, the local power-iteration kernel ships in `signed-attribution.mjs` and produces the same ordering (seeded mulberry32). Steps: 1. **Retrieve the signal** from the canonical `trading-signals` namespace (ADR-126 Phase 1 + Phase 2 lifecycle): ```text mcp__plugin_ruflo-core_ruflo__memory_retrieve({ key: "SIGNAL_ID", namespace: "trading-signals" }) ``` The signal entry includes `modelId`, `prediction`, and the feature vector at the time of inference. 2. **Extract per-feature contribution scores** fr
- Verification
npx neural-trader --predict --signal "$SIGNAL_ID" --explain --json
What does the trader-explain skill do?
Regulator-grade feature attribution for any LSTM/Transformer signal — single-entry PageRank ranks the top-K features that drove the prediction (ADR-126 Phase 6, ADR-123 single-entry PR)
How do I install it?
Run `npx skills add ruvnet/ruflo --skill trader-explain --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ruvnet/ruflo, a repository with 67,015 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.