Individual skill
pho-algorithmic-audit
Solve a Public Health Observatory (PHO) "algorithmic audit" analysis task: given a task folder with prompt.txt, payloads/analysis_request.json, payloads/answer_template.json, and environment_access.md, fetch evidence from the read-only PHO web portal, resolve releases/revisions and cohorts, run the declared statistical audit modules with exact reproducibility, apply the controlled decision rule, and emit one JSON object conforming to answer_template.json. Use when the request references the PHO portal (<TASK_ENV_BASE_URL>, GDPEVO_ENV_BASE_URL, /catalog, /data/state-health, /data/county-health, /data/country-indicators, /data/revisions), a protocol_id like PHO_STATE_*/PHO_COUNTY_*, a six-module robustness/transportability/mediation audit, or a country burden reconciliation + PCA/cluster/panel briefing. Triggers: "Public Health Observatory", "transportable longevity signal", "registered audit", "robustness gates", "wild cluster bootstrap", "nested ridge/elastic-net", "grouped conformal", "trajectory PCA clustering", "delete-one jackknife", "difference GMM mediation", "burden PCA".
experiments/claude_code_opus_4_8_xhigh/reports/skills/task_group_023/fewshot/fewshot_attempt_01/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Not checked yet
- 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
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- ai Repository topic
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- llm Repository topic
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- data Derived category
- security Derived category
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SKILL.mdcore · 8,744 bytesreferences/methods.mddoc · 15,548 bytesreferences/output_contract.mddoc · 3,888 bytesreferences/portal.mddoc · 5,749 bytesreferences/prng.mddoc · 2,563 bytesreferences/release_and_cohorts.mddoc · 6,800 bytes
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# PHO Algorithmic Audit Solver
## What this is
Each task in this family gives you an *analysis request* (a registered statistical
protocol) and an *answer template* (the exact output contract), and points you at one
read-only web portal (the Public Health Observatory) as the only authorized evidence
source. Your job is to recompute — from the live portal data — a large, fully-ordered
package of statistics and a final controlled classification, and return it as one JSON
object that matches the template exactly.
The numbers are *deterministic*: every task pins the seeds, grids, orders, tolerances,
and cutoffs needed to reproduce one canonical answer. There is no room for approximation
in PRNG streams, fold assignment, tie-breaking, rounding, or list order. Treat the whole