Data Analysis

biopython-sequence-io

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

91Converting between common sequence formats (e.g., FASTA ↔ GenBank, FASTQ → FASTA) while preserving identifiers and annotations

4/4

87Reading and writing sequence datasets for downstream pipelines (alignment, assembly, annotation) with consistent parsing and output

4/4

85Sequence objects and basic operations using Bio.Seq.Seq (slicing, reverse complement, transcription/translation)

4/4

85Robust sequence I/O via Bio.SeqIO for parsing and writing FASTA/GenBank/FASTQ and other supported formats

4/4

85End-to-end case for Sequence objects and basic operations using Bio.Seq.Seq (slicing, reverse complement, transcription/translation)

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	Practice boundaries held because the package remained focused on Use Biopython to read/write/convert biological sequence files (FASTA/GenBank/FASTQ, etc.)... 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

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

11 / 12

92%

Reliability

Related legacy finding for biopython-sequence-io: 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.

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

Converting between common sequence formats (e.g., FASTA ↔ GenBank, FASTQ → FASTA) while preserving identifiers and annotations

4/4 ✓

Variant A

Reading and writing sequence datasets for downstream pipelines (alignment, assembly, annotation) with consistent parsing and output

4/4 ✓

Edge

Sequence objects and basic operations using Bio.Seq.Seq (slicing, reverse complement, transcription/translation)

4/4 ✓

Variant B

Robust sequence I/O via Bio.SeqIO for parsing and writing FASTA/GenBank/FASTQ and other supported formats

4/4 ✓

Stress

End-to-end case for Sequence objects and basic operations using Bio.Seq.Seq (slicing, reverse complement, transcription/translation)

4/4 ✓

Canonical✅ Pass

Converting between common sequence formats (e.g., FASTA ↔ GenBank, FASTQ → FASTA) while preserving identifiers and annotations

Converting between common sequence formats (e.g., FASTA ↔ GenBank,... 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 biopython-sequence-io 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

Reading and writing sequence datasets for downstream pipelines (alignment, assembly, annotation) with consistent parsing and output

The archived run treated Reading and writing sequence datasets for downstream pipelines... as a bounded analysis workflow rather than a purely narrative instruction path.

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

✅A1The biopython-sequence-io 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

Sequence objects and basic operations using Bio.Seq.Seq (slicing, reverse complement, transcription/translation)

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

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

✅A1The biopython-sequence-io 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

Robust sequence I/O via Bio.SeqIO for parsing and writing FASTA/GenBank/FASTQ and other supported formats

Robust sequence I/O via Bio.SeqIO for parsing and writing... 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 biopython-sequence-io 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 Sequence objects and basic operations using Bio.Seq.Seq (slicing, reverse complement, transcription/translation)

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

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

✅A1The biopython-sequence-io 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