Protocol Design

cross-disease-shared-biomarker-network

Generates complete cross-disease shared-biomarker bioinformatics research designs from a user-provided disease pair and validation direction. Always use this skill whenever a user wants to design, plan, or build a multi-dataset study linking two related diseases through shared DE

90100Total Score
Core Capability
93 / 100
Functional Suitability
12 / 12
Reliability
10 / 12
Performance & Context
7 / 8
Agent Usability
15 / 16
Human Usability
7 / 8
Security
12 / 12
Maintainability
11 / 12
Agent-Specific
19 / 20
Medical Task
34 / 35 Passed
91Canonical input for cross-disease-shared-biomarker-network
5/5
91Variant A input for cross-disease-shared-biomarker-network
5/5
88Variant B input for cross-disease-shared-biomarker-network
5/5
86Edge input for cross-disease-shared-biomarker-network
5/5
86Stress input for cross-disease-shared-biomarker-network
5/5
86Scope Boundary input for cross-disease-shared-biomarker-network
5/5
86Adversarial input for cross-disease-shared-biomarker-network
4/5

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
DimensionResultDetail
Scientific IntegrityPASSNo fabricated references, DOIs, PMIDs, statistical values, or clinical data detected.
Practice BoundariesPASSNo diagnostic conclusions or unapproved treatment recommendations produced.
Methodological GroundPASSNo methodological fallacies detected; ethical compliance requirements noted where applicable.
Code UsabilityN/ANo executable code generated; analysis pipeline planning only

Core Capability93 / 1008 Categories

Functional Suitability
Full marks (12/12); no significant issues detected.
12 / 12
100%
Reliability
Dataset Disclaimer present; four workload configs well-defined; minor gaps in parameter specification
10 / 12
83%
Performance & Context
Strong score (7/8); minor gaps noted.
7 / 8
88%
Agent Usability
Strong score (15/16); minor gaps noted.
15 / 16
94%
Human Usability
Strong score (7/8); minor gaps noted.
7 / 8
88%
Security
Full marks (12/12); no significant issues detected.
12 / 12
100%
Maintainability
Strong score (11/12); minor gaps noted.
11 / 12
92%
Agent-Specific
Drug-gene interaction screening as a downstream module adds translational value beyond pure biomarker discovery
19 / 20
95%
Core Capability Total93 / 100

Medical TaskExecution Average: 87.7 / 100 — Assertions: 34/35 Passed

91
Canonical
Canonical input for cross-disease-shared-biomarker-network
5/5
91
Variant A
Variant A input for cross-disease-shared-biomarker-network
5/5
88
Variant B
Variant B input for cross-disease-shared-biomarker-network
5/5
86
Edge
Edge input for cross-disease-shared-biomarker-network
5/5
86
Stress
Stress input for cross-disease-shared-biomarker-network
5/5
86
Scope Boundary
Scope Boundary input for cross-disease-shared-biomarker-network
5/5
86
Adversarial
Adversarial input for cross-disease-shared-biomarker-network
4/5
91
Canonical✅ Pass
Canonical input for cross-disease-shared-biomarker-network

5/5 assertions passed.

Basic 36/40|Specialized 55/60|Total 91/100
A1Core assertion 1 for canonical input
A2Core assertion 2 for canonical input
A3Core assertion 3 for canonical input
A4Core assertion 4 for canonical input
A5Core assertion 5 for canonical input
Pass rate: 5 / 5
91
Variant A✅ Pass
Variant A input for cross-disease-shared-biomarker-network

5/5 assertions passed.

Basic 36/40|Specialized 55/60|Total 91/100
A1Core assertion 1 for variant a input
A2Core assertion 2 for variant a input
A3Core assertion 3 for variant a input
A4Core assertion 4 for variant a input
A5Core assertion 5 for variant a input
Pass rate: 5 / 5
88
Variant B✅ Pass
Variant B input for cross-disease-shared-biomarker-network

5/5 assertions passed.

Basic 35/40|Specialized 53/60|Total 88/100
A1Core assertion 1 for variant b input
A2Core assertion 2 for variant b input
A3Core assertion 3 for variant b input
A4Core assertion 4 for variant b input
A5Core assertion 5 for variant b input
Pass rate: 5 / 5
86
Edge✅ Pass
Edge input for cross-disease-shared-biomarker-network

5/5 assertions passed.

Basic 34/40|Specialized 52/60|Total 86/100
A1Core assertion 1 for edge input
A2Core assertion 2 for edge input
A3Core assertion 3 for edge input
A4Core assertion 4 for edge input
A5Core assertion 5 for edge input
Pass rate: 5 / 5
86
Stress✅ Pass
Stress input for cross-disease-shared-biomarker-network

5/5 assertions passed.

Basic 34/40|Specialized 52/60|Total 86/100
A1Core assertion 1 for stress input
A2Core assertion 2 for stress input
A3Core assertion 3 for stress input
A4Core assertion 4 for stress input
A5Core assertion 5 for stress input
Pass rate: 5 / 5
86
Scope Boundary✅ Pass
Scope Boundary input for cross-disease-shared-biomarker-network

5/5 assertions passed.

Basic 34/40|Specialized 52/60|Total 86/100
A1Core assertion 1 for scope boundary input
A2Core assertion 2 for scope boundary input
A3Core assertion 3 for scope boundary input
A4Core assertion 4 for scope boundary input
A5Core assertion 5 for scope boundary input
Pass rate: 5 / 5
86
Adversarial✅ Pass
Adversarial input for cross-disease-shared-biomarker-network

4/5 assertions passed.

Basic 34/40|Specialized 52/60|Total 86/100
A1Core assertion 1 for adversarial input
A2Core assertion 2 for adversarial input
A3Core assertion 3 for adversarial input
A4Core assertion 4 for adversarial input
A5Core assertion 5 for adversarial input
Pass rate: 4 / 5
Medical Task Total87.7 / 100

Key Strengths

  • Five study patterns provide comprehensive coverage of cross-disease shared biomarker with drug-gene interaction screening and immune infiltration research scenarios
  • Four workload configurations (Lite/Standard/Advanced/Publication+) with recommended primary plan enable broad applicability
  • Mandatory Dataset Disclaimer before all dataset-mentioning workflow sections prevents false resource claims
  • Strictly verified literature retrieval with no fabricated references maintains scientific integrity