Data Analysis

gtars

85100Total Score

Core Capability

83 / 100

Functional Suitability

11 / 12

Reliability

9 / 12

Performance & Context

7 / 8

Agent Usability

14 / 16

Human Usability

8 / 8

Security

10 / 12

Maintainability

8 / 12

Agent-Specific

16 / 20

Medical Task

20 / 20 Passed

91Overlap and set operations on genomic intervals (e.g., peak/promoter overlap, variant annotation, shared-feature detection)

4/4

87Coverage track generation from interval-like inputs (e.g., ATAC-seq/ChIP-seq/RNA-seq coverage for visualization in genome browsers)

4/4

85Rust performance with low overhead; designed for large genomic datasets

4/4

85Python bindings for integration into analysis notebooks/pipelines

4/4

85End-to-end case for Rust performance with low overhead; designed for large genomic datasets

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 high-performance Rust toolkit (with Python bindings and a CLI) for genomic interval... rather than overclaiming what the records supported.
Methodological Ground	PASS	Methodological grounding was preserved through the documented inputs, transformations, and expected artifacts.
Code Usability	PASS	The legacy audit did not record a code-usability failure in the packaged analysis path.

Core Capability83 / 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

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

9 / 12

75%

Performance & Context

Performance-context scoring suggests the package could handle larger or denser runs a little more gracefully.

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

Human usability reached full score in the archived evaluation.

8 / 8

100%

Security

A modest security gap remained in the archived evaluation despite otherwise controlled workflow behavior.

10 / 12

83%

Maintainability

Maintainability stayed solid, with only limited room to simplify scripts, dependencies, or packaging structure.

8 / 12

67%

Agent-Specific

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

16 / 20

80%

Core Capability Total83 / 100

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

Canonical

Overlap and set operations on genomic intervals (e.g., peak/promoter overlap, variant annotation, shared-feature detection)

4/4 ✓

Variant A

Coverage track generation from interval-like inputs (e.g., ATAC-seq/ChIP-seq/RNA-seq coverage for visualization in genome browsers)

4/4 ✓

Edge

Rust performance with low overhead; designed for large genomic datasets

4/4 ✓

Variant B

Python bindings for integration into analysis notebooks/pipelines

4/4 ✓

Stress

End-to-end case for Rust performance with low overhead; designed for large genomic datasets

4/4 ✓

Canonical✅ Pass

Overlap and set operations on genomic intervals (e.g., peak/promoter overlap, variant annotation, shared-feature detection)

The archived run treated Overlap and set operations on genomic intervals (e.g.,... as a bounded analysis workflow rather than a purely narrative instruction path.

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

✅A1The gtars 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

Coverage track generation from interval-like inputs (e.g., ATAC-seq/ChIP-seq/RNA-seq coverage for visualization in genome browsers)

The archived run treated Coverage track generation from interval-like inputs (e.g.,... as a bounded analysis workflow rather than a purely narrative instruction path.

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

✅A1The gtars 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

Rust performance with low overhead; designed for large genomic datasets

Rust performance with low overhead; designed for large genomic datasets remained tied to the documented analysis contract even when the preserved evidence centered on instructions instead of a full rerun.

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

✅A1The gtars 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

Python bindings for integration into analysis notebooks/pipelines

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

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

✅A1The gtars 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 Rust performance with low overhead; designed for large genomic datasets

End-to-end case for Rust performance with low overhead; designed... remained tied to the documented analysis contract even when the preserved evidence centered on instructions instead of a full rerun.

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

✅A1The gtars 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 83/100 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