Evaluate Campaign

Campaign Eval — Orchestrator

Evaluation skill. Converts launched multi-channel campaign evidence into a cycle snapshot + a ledger row + a narrowly-scoped next action inside an existing eval loop. One cycle = the whole campaign across every channel. Aggregate-only — single ads/posts/pages/videos route to their own eval siblings.

Core Question: "Did this campaign cycle, across all channels, create measurable signal strong enough to keep / discard / watch / block — which channels drove it, are the unit economics honest, and what should the next strategy skill know?"

> Why, methodology, history: [references/playbook.md](references/playbook.md) [PLAYBOOK]. Capability metadata (route triggers, prerequisites, load map): [routing.yaml](routing.yaml).

Critical Gates

1. Existing eval loop required. program.md + context.md absent → NEEDS_CONTEXT, recommend /run-pipeline. This skill does not create loops.
2. Aggregate-only, whole-campaign scope. Scores campaign-level outcomes from channel-rollup metrics across every channel in one cycle. Per-asset eval artifacts are context only, never re-scored, never drive the verdict. Single-asset OR one-channel-per-cycle splitting → NEEDS_CONTEXT, route to the sibling (evaluate-ad / evaluate-content / evaluate-landing-page / evaluate-shortform).
3. Measurement evidence required + primary metric decides the row. Need ≥1 metric source, window, and current value for the loop's primary metric (operator-pick via program.md: new customers · leads · revenue · blended CAC · ROI). Secondary metrics explain diagnosis; they don't override unless program.md defines an explicit guardrail failure.
4. No fabricated analytics. Unknown values stay unknown. Manual notes only when labeled operator-supplied + tied to date/window/source.
5. Attribution confidence must be explicit. Every verdict includes sample size, baseline comparability, attribution-model honesty (last-click vs multi-touch, assisted conversions, window), confounders (seasonality, concurrent campaign, channel cannibalization, price/promo, organic drift), and confidence: high | medium | low | blocked.
6. Evaluation does not generate strategy. Recommend changes; route re-planning to plan-campaign, ad creative to write-ad, organic copy to write-social, asset-level diagnosis to the asset eval skills.

Responsibility Split

/run-pipeline owns loop setup + program.md / context.md / results.tsv schema + durable learnings. This skill owns post-launch campaign-level evidence snapshots scored across all channels as one aggregate. /plan-campaign owns next-cycle planning. /evaluate-ad / /evaluate-content / /evaluate-landing-page / /evaluate-shortform own asset-level lanes.

Channel store — read-only here. Diagnosis may read per-channel history for trend context — bun scripts/query-performance.ts --json ([references/_shared/performance-data.md](references/_shared/performance-data.md)). evaluate-campaign never appends to the channel store: post-level keyed snapshots are owned solely by evaluate-content's metric-ingest agent; aggregate campaign rollups stay in the loop's results.tsv.

Inputs

Required: loop slug/path · campaign name/tag · source plan-campaign artifact (docs/forsvn/artifacts/marketing/campaign-plan.md) · measurement window · primary metric value + source · per-channel rollup (spend / effort / reach / leads / conversions / revenue) · total fully-loaded spend (media + production + tooling).

Recommended: baseline/prior-cycle row · revenue + new-customer count · attribution model · guardrails from program.md · per-asset eval artifacts (CONTEXT ONLY).

Outputs

.forsvn/loops/[slug]/evals/YYYY-MM-DD-cycle-N.md + append one row to results.tsv via bun scripts/append-loop-result.ts (8-col helper) + update learnings.md ONLY for high-confidence keep/discard lessons (critic-gated) + run bun scripts/manifest-sync.ts.

Agent Manifest + Dispatch

4 sub-agents: Layer 1 parallel (Metric Ingest + Diagnosis) → Layer 2 (Recommendation) → Layer 3 (Critic). Critic FAIL → revise once; still FAIL → no ledger row + BLOCKED. Full agent table + per-layer dispatch + 7-dim rubric: [references/agent-manifest.md](references/agent-manifest.md). Domain rubric: [references/rubric.md](references/rubric.md). Shared frame: _shared/evaluation-loop-rubric.md.

Pre-Dispatch

Canonical: _shared/pre-dispatch-protocol.md + _shared/eval-loop-spec.md. Hard-blocks (BEFORE Cold Start): missing program.md/context.md → NEEDS_CONTEXT + /run-pipeline; single-asset under eval → route to sibling; no measurement evidence OR incomplete channel rollup → BLOCKED; custom 10+ col results.tsv → warn + hand-edit. Cold Start: 6 bundled questions (loop · campaign name · source plan path · window · primary metric value/baseline · per-channel rollup + fully-loaded spend). Full read-order + templates + --fast behavior: [references/procedures/pre-dispatch.md](references/procedures/pre-dispatch.md) [PROCEDURE]. Session execution profile (single-vs-multi): inherit per references/_shared/execution-policy.md.

Artifact Contract

• Path: .forsvn/loops/[slug]/evals/YYYY-MM-DD-cycle-N.md. Lifecycle: evaluation.
• Frontmatter (10 fields): skill / version / date / status / summary / purpose / lifecycle / use_when / do_not_use_when / upstream / downstream + provenance (input_artifacts = source plan-campaign + brand/BRAND.md + research/icp-research.md; output_eval: null).
• Body sections (8): Title · Verdict · Evidence (6-col table) · What Changed This Cycle · Diagnosis (Likely Drivers + Channel-Mix Signals (per-channel breakdown table) + Unit-Economics Signals + Confounders) · Next Cycle Recommendation · Results Row (8-col TSV) · Learning Promotion. Verdict block must name the campaign; Evidence table scopes to campaign-level aggregate signals.
• Results Row (8 cols): cycle date artifact primary_metric value baseline status description. status ∈ keep|discard|watch|blocked (Critic Hard Fail otherwise); description includes the campaign tag.
• Cross-stack contract: consumed by future campaign-eval cycles (trend analysis) + plan-campaign --rev=N+1 (hypothesis seeding) + human reviewers. Schema changes require atomic update across _shared/eval-loop-spec.md + downstream callers.

Full template + Evidence/Channel-Breakdown/Results/Learning formats + helper invocation: [references/format-conventions.md](references/format-conventions.md) [PROCEDURE].

Results Row Helper

bun scripts/append-loop-result.ts "" \
  --artifact evals/YYYY-MM-DD-cycle-N.md \
  --metric "" --value "" --baseline "" \
  --status "" --description ""

Do not append on Critic FAIL — return BLOCKED instead.

Critic Override Protocol

Operator ships despite critic FAIL (or accepts pass-with-concerns) — log BEFORE writing artifact or ledger row: bun scripts/log-critic-override.ts --skill evaluate-campaign …. Three overrides → rubric-revision escalation. An override never promotes a contested cycle to keep; a no-override FAIL still returns BLOCKED. Full protocol: [references/_shared/critic-override-protocol.md](references/_shared/critic-override-protocol.md) [PROCEDURE].

Anti-Patterns

[references/anti-patterns.md](references/anti-patterns.md) [ANTI-PATTERN] — 8 campaign-eval rows + 4 cross-cutting marketing-stack rows. Most common: rider-channel contamination (Gate 2 + Critic "Channel-Mix Discrimination"), blended-CAC laundering (Critic "Unit-Economics Discipline" + Hard Fail #11), scope drift to plan-campaign (Gate 6 + Critic "Decision Discipline"), missing source plan-campaign artifact (Critic Hard Fail).

Worked Example

Multi-channel campaign cycle (per-channel breakdown, blended CAC, fully-loaded spend, critic PASSWITHCONCERNS): [references/examples/campaign-eval-cycle-walkthrough.md](references/examples/campaign-eval-cycle-walkthrough.md).

Durable Rules (protected)

Completion Status

• DONE — eval artifact written, ledger row appended, critic PASS.
• DONEWITHCONCERNS — artifact + row written, but confidence low/medium or confounders material.
• NEEDS_CONTEXT — missing loop, source plan-campaign artifact, campaign tag, channel rollup, or required metric evidence; OR thing under eval is a single ad/post/page/video (route to asset-level sibling).
• BLOCKED — contradictory data, no measurement evidence, filesystem failure, or critic failed after revision.

References

• references/{playbook, agent-manifest, rubric, format-conventions, anti-patterns}.md + procedures/{pre-dispatch, dispatch-mechanics}.md
• _shared/{eval-loop-spec, evaluation-loop-rubric, pre-dispatch-protocol, critic-override-protocol, quality-dashboard-spec}.md
• Siblings: plan-campaign (downstream), run-pipeline (loop scaffolding), evaluate-{ad, content, landing-page, shortform} (asset lanes)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: hungv47
• Source: hungv47/meta-skills
• License: MIT
• Homepage: https://skills.forsvn.com/

Install and usage instructions live in the source repository linked above.