--- name: yogsoth-ai-atomic-unit-recall-aggregate description: "Aggregate per-unit ACU/Nugget match judgments into a final recall score — normalized length-penalized recall for ACU, or V_strict/A_strict (+ run-level ranking, with an explicit per-topic-unreliability caveat) for Nugget. Use this as the final step of the atomic-unit chain, after atomic-unit-matching; this SOP's existence closes a gap the original pipeline design was missing — without it, per-unit match judgments were never actually summed into the score the source methodologies report." license: "Apache-2.0" metadata: decimalai-skill-id: "7157c4c7-8d18-4c26-966c-983a1d418d82" decimalai-version-id: "5aae10d0-dc41-420e-86c6-97d8fe5953f9" decimalai-version: "1" decimalai-body-sha256: "5b5f2528c417f1780ba2491042253f911c8a9b4d80b1d35780ebcf3504648bab" decimalai-name: "yogsoth-ai/atomic-unit-recall-aggregate" decimalai-format: "1" decimalai-invocation: "model" decimalai-category: "research" decimalai-source: "https://app.decimal.ai/s/yogsoth-ai-atomic-unit-recall-aggregate@1/SKILL.md" --- # Atomic Unit Recall Aggregate Final aggregation step of the atomic-unit chain — normalized recall (ACU) or V_strict/A_strict + run-level ranking (Nugget). Added specifically to fix coverage-audit finding S5: the original graph's atomic-unit chain was a dead end at matching, with no node computing the actual reported score. ## Execution Subagent — spawned via spawn-agent skill. ## Nugget's Reliability Caveat Is Load-Bearing Nugget-style per-topic scores are documented as unreliable (Kendall τ=0.297–0.539) — only run-level aggregation across multiple candidates is trustworthy (τ=0.887). This SOP must carry that caveat forward in its output whenever it runs Nugget-style aggregation on a single candidate; do not silence it for a cleaner-looking report. ## Available SOPs | SOP | When to use | | --- | --- | | spawn-agent | Spawn a customized CC subagent with full MCP tool access. |