Individual skill
pho-registered-algorithmic-audit
Operating manual for completing a Public Health Observatory (PHO) "registered algorithmic audit" task. Use whenever the prompt asks you to audit a public-health association/mediation/trajectory signal using the read-only PHO Web portal at <TASK_ENV_BASE_URL>, resolve FINAL releases/revisions into cohorts, run a fixed set of registered statistical modules (cluster jackknife / two-way FE / GMM, nested leave-group-out ridge or elastic-net CV, restricted-null wild cluster bootstrap-t, grouped split-conformal calibration, trajectory PCA + deterministic k-means with leave-one-out ARI, and source/year/sensitivity perturbation), apply declared gates and a precedence decision rule, and return ONE JSON object that conforms exactly to answer_template.json. Triggers: "Public Health Observatory", "registered ... audit", "analysis_request.json", "answer_template.json", "transportable ... signal", "state-health/county-health/country-indicators", "REGISTERED_FINAL_RELEASE_RESOLUTION", "wild cluster bootstrap", "split conformal", "trajectory PCA", "adjusted Rand index", modules that must each PASS/FAIL a gate.
experiments/claude_code_opus_4_8_xhigh/reports/skills/task_group_023/self/self_attempt_01/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Yes
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- Yes
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- Observed behavior
- Instructions only
- Last checked
- Nov 6, 2026
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- Repository stars (not skill ratings)
- 121
- Repository last updated
- Oct 29, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- benchmark Repository topic
- llm Repository topic
- self-evolving Repository topic
- self-learning Repository topic
- skills Repository topic
- security Derived category
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SKILL.mdcore · 8,458 bytesSKILL.mdcore · 8,458 bytesreferences/audit_modules.mddoc · 10,380 bytesreferences/data_resolution_and_cohorts.mddoc · 5,743 bytesreferences/output_contract.mddoc · 5,108 bytesreferences/portal.mddoc · 7,526 bytes
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# Public Health Observatory — Registered Algorithmic Audit
This skill is a reusable playbook for a recurring task family. Each task hands you three
inputs and one authoritative data source:
- `input/prompt.txt` — the business framing and the decision the board must make.
- `input/payloads/analysis_request.json` — the **registered protocol**: scope, release/cohort
rules, an ordered set of audit *modules* (each with a named method, cohort, orders, grids,
seeds, and `required_evidence`/`required_audit_outputs`), the numeric gates, and the
precedence **decision rule**.
- `input/payloads/answer_template.json` — the **output contract**: required top-level keys,
per-section `required_keys`, `array_lengths`, `cardinality_rules`, orderings, precision,
identifier rules, and allowed enum/boolean values.
- The **PHO Web portal** at `<TASK_ENV_BASE_URL>` (the base URL is provided by the