oia-statistics-nz · git:20260719.1748a98 · 2026-07-19 · sha256 805c7be9607bdb0b
oia-statistics-nz git:20260719.1748a98A
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--- name: oia-statistics-nz description: "Query New Zealand Public Service Commission six-monthly OIA compliance statistics with per-period and per-agency views, including timeliness, extensions, transfers, refusals, proactive publication, and Ombudsman complaints." license: MIT compatibility: "Requires Python 3.10+ and network access for live data" metadata: thecolab.category: "government" thecolab.source_owner: "Public Service Commission" thecolab.source_type: "official" thecolab.auth: "none" thecolab.access_mode: "public-download" thecolab.data_class: "public" thecolab.writes: "false" thecolab.browser: "false" thecolab.risk: "low" thecolab.cache_ttl: "24h" thecolab.schema_version: "1" thecolab.skill_type: "public-download" thecolab.pack: "nz-public-data" thecolab.source_url: "https://www.publicservice.govt.nz/data/oia-statistics" thecolab.allowed_domains: "www.publicservice.govt.nz" thecolab.last_verified: "2026-07-19" thecolab.health: "healthy" thecolab.maintainer: "@adam91holt" --- # OIA Statistics NZ ## Goal Expose the Public Service Commission six-monthly Official Information Act (OIA) statistics in a small, deterministic CLI that removes scraping friction for downstream civic-transparency workflows. The skill focuses on the PSC all-data CSV series, which contains historical per-agency series from January/July 2015 onward. ## Use this when - You need per-agency OIA workload and performance series for NZ public-sector bodies. - You need a machine-readable on-time rate, complaint, extension, transfer, or refusal snapshot for a period. - You need the latest period and historical aggregate totals for reporting or comparison. - You need official links and discovered OIA release table URLs for reproducible citations. ## Do not use this for - Accessing any non-OIA datasets. - Requesting private or protected internal agency systems. - Non-official or third-party mirror data. ## Commands - `list-agencies [--json]` - list distinct agencies in the all-data CSV. - `agency <name-or-org-id> [--period YYYY-MM-DD|latest] [--json]` - full per-period time series for one agency or one period. - `period <YYYY-MM-DD|latest> [--sort name|worst|best|requests] [--json]` - all agencies for one period with computed timeliness percentage. - `periods [--json]` - list all discovered survey periods with simple period-level counts. - `tables [--format all|csv|xlsx|pdf] [--json]` - discover PSC OIA table assets from the landing page (plus the stable all-data CSV fallback). - `timeliness [--period latest] [--sort worst|best|name] [--limit 20] [--json]` - agency timeliness metrics for a period. - `refusals [--period latest] [--sort worst|best|name] [--limit 20] [--json]` - refusal count and percentage per agency. - `extensions [--period latest] [--sort worst|best|name] [--limit 20] [--json]` - extension count and percentage per agency. - `complaints [--period latest] [--sort complaints|final_opinions|worst|best|name] [--limit 20] [--json]` - Ombudsman complaints and final-opinion counts. - `totals [--period latest] [--json]` - sector-wide totals and computed aggregate on-time rate for a period. ## CLI Run with: ```bash python3 skills/oia-statistics-nz/scripts/cli.py <command> [flags] ``` ## Notes - No API key, auth, or browser automation required for implemented commands. - Network timeout and upstream-unavailable handling are built in for blocked upstreams. - CSV is the preferred parse format because this repo avoids non-stdlib XLSX dependencies. - XLSX/period releases are discoverable and referenced through `tables`, and the CLI documents that structured parsing is not implemented for XLSX in this skill. ## Resources - API notes: `references/api-notes.md`