Data Analysis

biopython-advanced

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 motif discovery/statistics (e.g., PWM/consensus, motif counts across multiple sequences)

4/4

87You want restriction enzyme site analysis (e.g., find cut sites for specific enzymes in a DNA sequence)

4/4

85Motif analysis using Biopython’s Bio.motifs (counts, consensus, simple statistics)

4/4

85Restriction analysis using Bio.Restriction (enzyme lookup, cut site detection)

4/4

85End-to-end case for Motif analysis using Biopython’s Bio.motifs (counts, consensus, simple statistics)

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	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 evaluated outputs stayed inside the Advanced Biopython modules for motifs, population genetics, sequence utilities, restriction... and did not drift into unsupported interpretation beyond the available inputs.
Methodological Ground	PASS	Methodological grounding was preserved through the documented inputs, transformations, and expected artifacts.
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

Related legacy finding for biopython-advanced: 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

Human usability reached full score in the archived evaluation.

8 / 8

100%

Security

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

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 motif discovery/statistics (e.g., PWM/consensus, motif counts across multiple sequences)

4/4 ✓

Variant A

You want restriction enzyme site analysis (e.g., find cut sites for specific enzymes in a DNA sequence)

4/4 ✓

Edge

Motif analysis using Biopython’s Bio.motifs (counts, consensus, simple statistics)

4/4 ✓

Variant B

Restriction analysis using Bio.Restriction (enzyme lookup, cut site detection)

4/4 ✓

Stress

End-to-end case for Motif analysis using Biopython’s Bio.motifs (counts, consensus, simple statistics)

4/4 ✓

Canonical✅ Pass

You need motif discovery/statistics (e.g., PWM/consensus, motif counts across multiple sequences)

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

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

✅A1The biopython-advanced 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 restriction enzyme site analysis (e.g., find cut sites for specific enzymes in a DNA sequence)

The archived run treated You want restriction enzyme site analysis (e.g., find cut sites for... as a bounded analysis workflow rather than a purely narrative instruction path.

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

✅A1The biopython-advanced 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

Motif analysis using Biopython’s Bio.motifs (counts, consensus, simple statistics)

Motif analysis using Biopython’s Bio.motifs (counts, consensus,... 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 biopython-advanced 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

Restriction analysis using Bio.Restriction (enzyme lookup, cut site detection)

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 biopython-advanced 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 Motif analysis using Biopython’s Bio.motifs (counts, consensus, simple statistics)

End-to-end case for Motif analysis using Biopython’s Bio.motifs... 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 biopython-advanced 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