Protocol Design

medical-research-algorithm-matcher

Matches a user’s biomedical research direction, disease problem, study aim, data modality, and resource constraints to the most relevant recent algorithms and method papers. Always search real recent algorithm literature first, prioritize the last 12 months, expand to 1–3 years o

89100Total Score
Core Capability
91 / 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
17 / 20
Medical Task
24 / 25 Passed
91Canonical input for medical-research-algorithm-matcher
5/5
91Variant A input for medical-research-algorithm-matcher
5/5
88Variant B input for medical-research-algorithm-matcher
5/5
86Edge input for medical-research-algorithm-matcher
5/5
86Stress input for medical-research-algorithm-matcher
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 code generated; Mode A skill

Core Capability91 / 100 — 8 Categories

Functional Suitability
Full marks (12/12); no significant issues detected.
12 / 12
100%
Reliability
Mandatory real algorithm paper requirement with DOI is the strongest integrity safeguard in this skill
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
Description is among the most precise in the collection with clear triggering and scope signals
17 / 20
85%
Core Capability Total91 / 100

Medical TaskExecution Average: 88.4 / 100 — Assertions: 24/25 Passed

91
Canonical
Canonical input for medical-research-algorithm-matcher
5/5 ✓
91
Variant A
Variant A input for medical-research-algorithm-matcher
5/5 ✓
88
Variant B
Variant B input for medical-research-algorithm-matcher
5/5 ✓
86
Edge
Edge input for medical-research-algorithm-matcher
5/5 ✓
86
Stress
Stress input for medical-research-algorithm-matcher
4/5 ✓
91
Canonical✅ Pass
Canonical input for medical-research-algorithm-matcher

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 medical-research-algorithm-matcher

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 medical-research-algorithm-matcher

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 medical-research-algorithm-matcher

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 medical-research-algorithm-matcher

4/5 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: 4 / 5
Medical Task Total88.4 / 100

Key Strengths

  • Mandatory verified primary method paper requirement with DOI prevents fabricated algorithm recommendations
  • Prioritization of last 12 months then 1-3 years ensures currency of algorithm recommendations
  • Published downstream papers citing the algorithm add real-world validation beyond the original paper
  • Explicit 'no verified algorithm found' response prevents false positive recommendations