SKILL

oc-signal-forge

Analytics & signals backend harness with a Designer/Builder/Evaluator loop. Derives new metrics from the question they answer, builds the instrumentation + harvester + transform, and adversarially verifies the signal is correct AND answers the question before wiring it to a consumer. Use for /oc-signal, "new metric", "instrument this", "analytics backend", "data harvesting", "is this metric right", "wire up a signal", "derive a KPI". Hands the validated signal (stable read contract) to oc-dash-forge for rendering. NOT pipeline telemetry (oc-telemetry-ops), NOT dashboards (oc-dash-forge), NOT prod uptime (oc-monitoring-ops), NOT estate-level data pipelines — ingestion/dbt/warehouse layering is oc-data-ops; when a metric needs a pipeline that doesn't exist, chain to /oc-data-ops design and build the signal on the contracted mart.

Target: Design & content creation. Automatically collected · unverified.

Excerpt from the author’s documentation

Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.

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Topics in the source

  • Signal Forge
  • /oc-signal — Command Reference
  • Operating model — Designer → Builder → Evaluator
  • Phase 0 — Frame (/oc-signal frame)
  • Phase 1 — Designer (/oc-signal design)
  • Phase 2 — Builder (/oc-signal build, /oc-signal harvest)
  • Phase 3 — Evaluator (/oc-signal verify) — the signature gate
  • Phase 4 — Wire (/oc-signal wire)

On first invocation, read references/orchestrator.md and follow its welcome protocol. Owns the backend of analytics: instrumentation design, the harvester / ingestion layer, the transform / middleware, the store, and — the part most analytics tooling skips — validation that the signal answers the question correctly, before it's ever exposed. The dashboarding front end already exists (oc-dash-forge); this is the skill that feeds it a number you can trust. The hard part of analytics is not laying pipe. It's proving the number is right. A pipeline that runs is not a pipeline that's correct, and a metric that's correct can still answer the wrong question — "active users" computed from raw page-loads is a perfectly accurate count of the wrong thing. Signal Forge exists because that silent failure mode is the default outcome of every dashboard built without an adversarial check between the data and the chart. So this is a -forge tri-agent harness. A Designer defines the metric and its instrumentation spec from the question it serves, a Builder implements the instrumentation + harvester + transform + store, and an Evaluator is skeptical about correctness — it tries to disprove the number

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Source repository
asfbay-bit/opchain-skills
Source file
plugins/opchain/skills/oc-signal-forge/SKILL.md
Fixed revision
1c7c7bd69a7d875a5dffb419911c24752ca6c285
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Author: asfbay-bit/opchain-skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-10T17:01:27.038Z.

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