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pho-algorithmic-audit

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Solve Public Health Observatory (PHO) "registered algorithmic audit" tasks: a prompt plus an analysis_request.json and answer_template.json that ask you to build cohorts from a read-only health/socioeconomic data portal and run a registered multi-module statistical audit (fixed-effects/GMM jackknife, nested ridge/elastic-net CV, wild cluster bootstrap-t, split conformal, trajectory PCA+k-means stability, source/feature perturbation) into one strict JSON object. Use when a task references the PHO portal, a six-module robustness/transport audit, registered final-release resolution, cohorts, and a controlled decision.

experiments/claude_code_opus_4_8_xhigh/reports/skills/task_group_023/reflect-3/reflect-3_attempt_02/SKILL.md

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Oct 29, 2026
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Apache-2.0

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# Public Health Observatory registered algorithmic audit

These tasks look intimidating but share one shape: **resolve published records
from a data portal → build declared cohorts → run N declared statistical modules
→ evaluate decision gates → emit one JSON object** that conforms exactly to
`answer_template.json`. The portal is the only evidence source; everything is
computed deterministically from it (the sole randomness is inside a bootstrap
whose PRNG is fully specified).

## Inputs you are given (per task)
- `prompt.txt` — the framing and the portal base URL (a placeholder like
  `<TASK_ENV_BASE_URL>`).
- `payloads/analysis_request.json` — the registered protocol: scope, years,
  outcome/exposure, evidence filters, cohort definitions, the audit modules (each
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