Data Analysis

spatial-transcriptomics-mapper

Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto.

85100Total Score

Core Capability

82 / 100

Functional Suitability

11 / 12

Reliability

10 / 12

Performance & Context

8 / 8

Agent Usability

13 / 16

Human Usability

6 / 8

Security

9 / 12

Maintainability

9 / 12

Agent-Specific

16 / 20

Medical Task

18 / 20 Passed

100Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto

4/4

92Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format

4/4

91Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto

4/4

89Packaged executable path(s): scripts/__init__.py plus 1 additional script(s)

4/4

63End-to-end case for Scope-focused workflow aligned to: Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto

2/4

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	No scientific-integrity problem was surfaced because the package did not claim more than the available records, article text, or script evidence supported.
Practice Boundaries	PASS	The archived review kept this package within Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto, not freeform inference detached from source data.
Methodological Ground	PASS	The legacy review kept the package aligned with its named analysis library, data structure, or processing workflow.
Code Usability	PASS	The archived review preserved a usable code path with named scripts, expected inputs, and a recognizable output contract.

Core Capability82 / 100 — 8 Categories

Functional Suitability

Functional suitability was softened by the legacy issue 'Improve stress-case output rigor'. Stress and boundary scenarios show weaker consistency

11 / 12

92%

Reliability

Reliability was softened by the legacy issue 'Improve stress-case output rigor'. Stress and boundary scenarios show weaker consistency

10 / 12

83%

Performance & Context

No point loss was recorded for performance context in the legacy audit.

8 / 8

100%

Agent Usability

Agent usability was strong, but the workflow could surface its entry conditions a little more directly.

13 / 16

81%

Human Usability

The archived deduction in human usability traces back to: Stabilize executable path and fallback behavior. Some inputs only reached PARTIAL due to execution gaps or weak boundary handling

6 / 8

75%

Security

Security remained strong, though the archived review still left some room for clearer execution guardrails.

9 / 12

75%

Maintainability

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

9 / 12

75%

Agent-Specific

Agent specific was softened by the legacy issue 'Stabilize executable path and fallback behavior'. Some inputs only reached PARTIAL due to execution gaps or weak boundary handling

16 / 20

80%

Core Capability Total82 / 100

Medical TaskExecution Average: 87 / 100 — Assertions: 18/20 Passed

100

Canonical

Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto

4/4 ✓

Variant A

Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format

4/4 ✓

Edge

Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto

4/4 ✓

Variant B

Packaged executable path(s): scripts/__init__.py plus 1 additional script(s)

4/4 ✓

Stress

End-to-end case for Scope-focused workflow aligned to: Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto

2/4 ⚠

100

Canonical✅ Pass

Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto

The Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto scenario completed within the documented Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto boundary.

Basic 40/40|Specialized 60/60|Total 100/100

✅A1The spatial-transcriptomics-mapper output structure covers required deliverable blocks

✅A2Script execution path is available (command exit code is 0)

✅A3The output stays within declared skill scope and target objective

✅A4Required research safety/boundary guidance is present without overclaims

Pass rate: 4 / 4

Variant A✅ Pass

Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format

The Use this skill for data analysis tasks that require explicit... scenario completed within the documented Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto boundary.

Basic 36/40|Specialized 56/60|Total 92/100

✅A1The spatial-transcriptomics-mapper output structure covers required deliverable blocks

✅A2Script execution path is available (command exit code is 0)

✅A3The output stays within declared skill scope and target objective

✅A4Required research safety/boundary guidance is present without overclaims

Pass rate: 4 / 4

Edge✅ Pass

Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto

The Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto path verified the packaged helper command without exposing a deeper execution issue.

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

✅A1The spatial-transcriptomics-mapper output structure covers required deliverable blocks

✅A2Script execution path is available (command exit code is 0)

✅A3The output stays within declared skill scope and target objective

✅A4Required research safety/boundary guidance is present without overclaims

Pass rate: 4 / 4

Variant B✅ Pass

Packaged executable path(s): scripts/__init__.py plus 1 additional script(s)

The archived evaluation treated Packaged executable path(s): scripts/__init__.py plus 1 additional... as a clean in-scope run.

Basic 36/40|Specialized 53/60|Total 89/100

✅A1The spatial-transcriptomics-mapper output structure covers required deliverable blocks

✅A2Script execution path is available (command exit code is 0)

✅A3The output stays within declared skill scope and target objective

✅A4Required research safety/boundary guidance is present without overclaims

Pass rate: 4 / 4

Stress⚠️ Warning

End-to-end case for Scope-focused workflow aligned to: Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto

The main issue in this stress run was: The output stays within declared skill scope and target objective.

Basic 25/40|Specialized 38/60|Total 63/100

✅A1The spatial-transcriptomics-mapper output structure covers required deliverable blocks

✅A2Script execution path is available (command exit code is 0)

❌A3The output stays within declared skill scope and target objective

❌A4Required research safety/boundary guidance is present without overclaims

Pass rate: 2 / 4

Medical Task Total87 / 100

Key Strengths

Primary routing is Data Analysis with execution mode B
Static quality score is 82/100 and dynamic average is 87.0/100
Assertions and command execution outcomes are recorded per input for human review