Data Analysis

geopandas

86100Total Score

Core Capability

85 / 100

Functional Suitability

11 / 12

Reliability

9 / 12

Performance & Context

7 / 8

Agent Usability

14 / 16

Human Usability

8 / 8

Security

11 / 12

Maintainability

9 / 12

Agent-Specific

16 / 20

Medical Task

20 / 20 Passed

91You need to load and export vector geospatial data (Shapefile, GeoJSON, GeoPackage, Parquet) and keep attributes + geometry together

4/4

87You want to run geometric operations such as buffer, simplify, centroid, convex hull, or distance/area calculations

4/4

85GeoDataFrame / GeoSeries: pandas-like tabular structures with a geometry column and vectorized spatial methods

4/4

85Multi-format I/O: read/write common GIS formats and integrate with PostGIS

4/4

85End-to-end case for GeoDataFrame / GeoSeries: pandas-like tabular structures with a geometry column and vectorized spatial methods

4/4

Veto GatesRequired pass for any deployment consideration

Skill Veto✓ All 4 gates passed

✓

Operational Stability

System remains stable across varied inputs and edge cases

PASS

✓

Structural Consistency

Output structure conforms to expected skill contract format

PASS

✓

Result Determinism

Equivalent inputs produce semantically equivalent outputs

PASS

✓

System Security

No prompt injection, data leakage, or unsafe tool use detected

PASS

Research Veto✅ PASS — Applicable

Dimension	Result	Detail
Scientific Integrity	PASS	The archived review kept this workflow anchored to supplied data fields and observable execution behavior, not fabricated results.
Practice Boundaries	PASS	Practice boundaries held because the package remained focused on A Python library for reading, writing, and analyzing geospatial vector data; use it when... rather than overclaiming what the records supported.
Methodological Ground	PASS	The legacy review kept the package aligned with its named analysis library, data structure, or processing workflow.
Code Usability	PASS	Code usability passed because the package still exposed a reviewable execution surface for its documented workflow.

Core Capability85 / 100 — 8 Categories

Functional Suitability

The archived deduction in functional suitability traces back to: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency

11 / 12

92%

Reliability

The archived deduction in reliability traces back to: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency

9 / 12

75%

Performance & Context

The package performed well overall, with only a small remaining performance-context deduction.

7 / 8

88%

Agent Usability

The archived review left some headroom in how quickly an agent can lock onto the intended analysis path.

14 / 16

88%

Human Usability

No point loss was recorded for human usability in the legacy audit.

8 / 8

100%

Security

The packaged workflow stayed safe overall, with only a small remaining deduction around boundary signaling.

11 / 12

92%

Maintainability

The archived review treated the package as maintainable, while still preserving some room for cleanup.

9 / 12

75%

Agent-Specific

The archived deduction in agent specific traces back to: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency

16 / 20

80%

Core Capability Total85 / 100

Medical TaskExecution Average: 86.6 / 100 — Assertions: 20/20 Passed

Canonical

You need to load and export vector geospatial data (Shapefile, GeoJSON, GeoPackage, Parquet) and keep attributes + geometry together

4/4 ✓

Variant A

You want to run geometric operations such as buffer, simplify, centroid, convex hull, or distance/area calculations

4/4 ✓

Edge

GeoDataFrame / GeoSeries: pandas-like tabular structures with a geometry column and vectorized spatial methods

4/4 ✓

Variant B

Multi-format I/O: read/write common GIS formats and integrate with PostGIS

4/4 ✓

Stress

End-to-end case for GeoDataFrame / GeoSeries: pandas-like tabular structures with a geometry column and vectorized spatial methods

4/4 ✓

Canonical✅ Pass

You need to load and export vector geospatial data (Shapefile, GeoJSON, GeoPackage, Parquet) and keep attributes + geometry together

You need to load and export vector geospatial data (Shapefile,... remained tied to the documented analysis contract even when the preserved evidence centered on instructions instead of a full rerun.

Basic 36/40|Specialized 55/60|Total 91/100

✅A1The geopandas output structure matches the documented deliverable

✅A2The instruction path remains actionable for the documented case

✅A3The output stays fully within the documented skill boundary

✅A4The response quality is acceptable for the documented path

Pass rate: 4 / 4

Variant A✅ Pass

You want to run geometric operations such as buffer, simplify, centroid, convex hull, or distance/area calculations

This variant a case stayed within the packaged analysis boundary and kept a reviewable task contract.

Basic 34/40|Specialized 53/60|Total 87/100

✅A1The geopandas output structure matches the documented deliverable

✅A2The instruction path remains actionable for the documented case

✅A3The output stays fully within the documented skill boundary

✅A4The response quality is acceptable for the documented path

Pass rate: 4 / 4

Edge✅ Pass

GeoDataFrame / GeoSeries: pandas-like tabular structures with a geometry column and vectorized spatial methods

The archived run treated GeoDataFrame / GeoSeries: pandas-like tabular structures with a... as a bounded analysis workflow rather than a purely narrative instruction path.

Basic 33/40|Specialized 52/60|Total 85/100

✅A1The geopandas output structure matches the documented deliverable

✅A2The instruction path remains actionable for the documented case

✅A3The output stays fully within the documented skill boundary

✅A4The response quality is acceptable for the documented path

Pass rate: 4 / 4

Variant B✅ Pass

Multi-format I/O: read/write common GIS formats and integrate with PostGIS

Multi-format I/O: read/write common GIS formats and integrate with... remained tied to the documented analysis contract even when the preserved evidence centered on instructions instead of a full rerun.

Basic 32/40|Specialized 53/60|Total 85/100

✅A1The geopandas output structure matches the documented deliverable

✅A2The instruction path remains actionable for the documented case

✅A3The output stays fully within the documented skill boundary

✅A4The response quality is acceptable for the documented path

Pass rate: 4 / 4

Stress✅ Pass

End-to-end case for GeoDataFrame / GeoSeries: pandas-like tabular structures with a geometry column and vectorized spatial methods

The archived run treated End-to-end case for GeoDataFrame / GeoSeries: pandas-like tabular... as a bounded analysis workflow rather than a purely narrative instruction path.

Basic 29/40|Specialized 56/60|Total 85/100

✅A1The geopandas output structure matches the documented deliverable

✅A2The instruction path remains actionable for the documented case

✅A3The output stays fully within the documented skill boundary

✅A4The response quality is acceptable for the documented path

Pass rate: 4 / 4

Medical Task Total86.6 / 100

Key Strengths

Primary routing is Data Analysis with execution mode A
Static quality score is 85/100 and dynamic average is 78.6/100
Assertions and command execution outcomes are recorded per input for human review
Execution verification summary: No script verification was applicable