Calculate social protection coverage shares for declared population groups

baltor_social_protection_coverage

Calculate social protection coverage shares for declared population groups from scheme beneficiary counts with explicit person denominators, refusing non-person count units and giving bounds when people may receive more than one benefit.

Files, names only

LICENSE 1.0 KB
SKILL.md 4.8 KB
contracts/input.schema.json 3.5 KB
contracts/output.schema.json 6.7 KB
examples/example.expected.json 1.5 KB
examples/example.input.json 1.1 KB
references/provenance.json 4.7 KB
scripts/tool.py 9.3 KB
verification/test_tool.py 10.7 KB

Full files in your harness.

What it takes and gives

Command: python3 -B scripts/tool.py < examples/example.input.json
Input fields: reference_date, groups, schemes
Test: python3 -B -m unittest discover -s verification -p 'test_*.py' -v
Files: SKILL.md, contracts/input.schema.json, contracts/output.schema.json, scripts/tool.py
Placed for: OpenCode

Limits and scope

Limits: This is a supporting calculation for SDG target 1.3 (indicator 1.3.1) on caller-supplied data, not an official coverage estimate. It does not estimate denominators, deduplicate registers, impute missing schemes, judge benefit adequacy or decide which schemes count as social protection.

Details

Kind: Skill
Licence: MIT
Declared effects: reads files, runs commands
Placed for: OpenCode
Source: docs/architecture/NORTH-STAR.md
Size: 9 files, 43.4 KB
Identity: baltor_social_protection_coverage
Version: 76d6ee982eed61f3ea22d9be7d133623af1c82499b0f9d29a0e3e3a957a6d8cf

The version is the SHA-256 of the item your harness downloads; every file in it names its own checksum.

Where it is shown

Calculators for public statisticsDeterministic skills

Related components

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