Data Analysis

flowio

Parse Flow Cytometry Standard (FCS) files v2.0–3.1 and extract events/metadata for preprocessing workflows (e.g., when you need NumPy arrays, channel info, or CSV/DataFrame export from cytometry files).

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 read FCS v2.0/3.0/3.1 files and extract event matrices for downstream preprocessing

4/4

87You want to inspect or validate FCS metadata (TEXT segment) without loading event data (memory-efficient parsing)

4/4

85FCS parsing (v2.0–3.1): Reads HEADER/TEXT/DATA and optional ANALYSIS segments

4/4

85Event extraction to NumPy: Returns event data as ndarray with shape (events, channels)

4/4

85End-to-end case for FCS parsing (v2.0–3.1): Reads HEADER/TEXT/DATA and optional ANALYSIS segments

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	Scientific integrity held because extraction and analysis outputs stayed tied to provided text, metadata, or runtime evidence rather than invented study findings.
Practice Boundaries	PASS	The evaluated outputs stayed inside the Parse Flow Cytometry Standard (FCS) files v2.0–3.1 and extract events/metadata for... and did not drift into unsupported interpretation beyond the available inputs.
Methodological Ground	PASS	The archived evaluation treated the workflow as method-linked rather than ad hoc.
Code Usability	PASS	The archived review preserved a usable code path with named scripts, expected inputs, and a recognizable output contract.

Core Capability85 / 100 — 8 Categories

Functional Suitability

Related legacy finding for flowio: 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

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

7 / 8

88%

Agent Usability

The packaged analysis path is understandable, though the archived score suggests slightly clearer routing would help.

14 / 16

88%

Human Usability

Human usability reached full score in the archived evaluation.

8 / 8

100%

Security

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

11 / 12

92%

Maintainability

The analysis package is maintainable overall, though the archived score suggests modest cleanup headroom.

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 read FCS v2.0/3.0/3.1 files and extract event matrices for downstream preprocessing

4/4 ✓

Variant A

You want to inspect or validate FCS metadata (TEXT segment) without loading event data (memory-efficient parsing)

4/4 ✓

Edge

FCS parsing (v2.0–3.1): Reads HEADER/TEXT/DATA and optional ANALYSIS segments

4/4 ✓

Variant B

Event extraction to NumPy: Returns event data as ndarray with shape (events, channels)

4/4 ✓

Stress

End-to-end case for FCS parsing (v2.0–3.1): Reads HEADER/TEXT/DATA and optional ANALYSIS segments

4/4 ✓

Canonical✅ Pass

You need to read FCS v2.0/3.0/3.1 files and extract event matrices for downstream preprocessing

This canonical case stayed focused on extracting and normalizing evidence from the provided records instead of drifting into unsupported interpretation.

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

✅A1The flowio 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 inspect or validate FCS metadata (TEXT segment) without loading event data (memory-efficient parsing)

The archived run treated You want to inspect or validate FCS metadata (TEXT segment) without... as a bounded extraction workflow, keeping attention on source fields, fallback logic, and output shape.

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

✅A1The flowio 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

FCS parsing (v2.0–3.1): Reads HEADER/TEXT/DATA and optional ANALYSIS segments

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 flowio 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

Event extraction to NumPy: Returns event data as ndarray with shape (events, channels)

Event extraction to NumPy: Returns event data as ndarray with shape... remained an analysis-style extraction path whose value came from structured data capture rather than a freeform narrative response.

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

✅A1The flowio 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 FCS parsing (v2.0–3.1): Reads HEADER/TEXT/DATA and optional ANALYSIS segments

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 flowio 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