Evidence Insight
scite-database
86100Total Score
Core Capability
74 / 100
Functional Suitability
9 / 12
Reliability
9 / 12
Performance & Context
8 / 8
Agent Usability
11 / 16
Human Usability
6 / 8
Security
9 / 12
Maintainability
8 / 12
Agent-Specific
14 / 20
Medical Task
20 / 20 Passed
99Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting, mentioning) and assess scientific claims; use it when you need to evaluate a paper’s reliability or its acceptance in the literature
4/4
95Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting, mentioning) and assess scientific claims; use it when you need to evaluate a paper’s reliability or its acceptance in the literature
4/4
93Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting, mentioning) and assess scientific claims; use it when you need to evaluate a paper’s reliability or its acceptance in the literature
4/4
93Packaged executable path(s): scripts/scite_client.py plus 3 additional script(s)
4/4
93End-to-end case for Scope-focused workflow aligned to: Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting, mentioning) and assess scientific claims; use it when you need to evaluate a paper’s reliability or its acceptance in the literature
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
PASSResearch Veto✅ PASS — Applicable
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | The archived evaluation kept the skill tied to retrieved records or indexed source material rather than invented scientific claims. |
| Practice Boundaries | PASS | The legacy review kept this workflow on the evidence-access side of the boundary, not the advice-giving side. |
| Methodological Ground | PASS | The older review treated the package logic as methodologically aligned with its stated workflow. |
| Code Usability | PASS | The legacy evaluation did not preserve a usability failure in the packaged retrieval path. |
Core Capability74 / 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
9 / 12
75%
Reliability
Reliability was softened by the legacy issue 'Improve stress-case output rigor'. Stress and boundary scenarios show weaker consistency
9 / 12
75%
Performance & Context
Performance context reached full score in the archived evaluation.
8 / 8
100%
Agent Usability
A modest deduction remained in agent usability for scite-database in the archived review.
11 / 16
69%
Human Usability
A modest deduction remained in human usability for scite-database in the archived review.
6 / 8
75%
Security
The legacy audit deducted points for scite-database in security.
9 / 12
75%
Maintainability
The archived evaluation left some headroom for scite-database under maintainability.
8 / 12
67%
Agent-Specific
Agent specific was softened by the legacy issue 'Improve stress-case output rigor'. Stress and boundary scenarios show weaker consistency
14 / 20
70%
Core Capability Total74 / 100
Medical TaskExecution Average: 94.6 / 100 — Assertions: 20/20 Passed
99
Canonical
Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting, mentioning) and assess scientific claims; use it when you need to evaluate a paper’s reliability or its acceptance in the literature
4/4 ✓
95
Variant A
Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting, mentioning) and assess scientific claims; use it when you need to evaluate a paper’s reliability or its acceptance in the literature
4/4 ✓
93
Edge
Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting, mentioning) and assess scientific claims; use it when you need to evaluate a paper’s reliability or its acceptance in the literature
4/4 ✓
93
Variant B
Packaged executable path(s): scripts/scite_client.py plus 3 additional script(s)
4/4 ✓
93
Stress
End-to-end case for Scope-focused workflow aligned to: Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting, mentioning) and assess scientific claims; use it when you need to evaluate a paper’s reliability or its acceptance in the literature
4/4 ✓
99
Canonical✅ Pass
Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting, mentioning) and assess scientific claims; use it when you need to evaluate a paper’s reliability or its acceptance in the literature
Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting,... remained well-aligned with the documented contract in the preserved audit.
Basic 36/40|Specialized 60/60|Total 99/100
✅A1The scite-database output structure matches the documented deliverable
✅A2The script execution path completed successfully 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
95
Variant A✅ Pass
Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting, mentioning) and assess scientific claims; use it when you need to evaluate a paper’s reliability or its acceptance in the literature
The Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting,... scenario completed within the documented Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting,... boundary.
Basic 34/40|Specialized 60/60|Total 95/100
✅A1The scite-database output structure matches the documented deliverable
✅A2The script execution path completed successfully 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
93
Edge✅ Pass
Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting, mentioning) and assess scientific claims; use it when you need to evaluate a paper’s reliability or its acceptance in the literature
The Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting,... scenario completed within the documented Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting,... boundary.
Basic 33/40|Specialized 60/60|Total 93/100
✅A1The scite-database output structure matches the documented deliverable
✅A2The script execution path completed successfully 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
93
Variant B✅ Pass
Packaged executable path(s): scripts/scite_client.py plus 3 additional script(s)
Packaged executable path(s): scripts/scite_client.py plus 3... remained well-aligned with the documented contract in the preserved audit.
Basic 32/40|Specialized 60/60|Total 93/100
✅A1The scite-database output structure matches the documented deliverable
✅A2The script execution path completed successfully 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
93
Stress✅ Pass
End-to-end case for Scope-focused workflow aligned to: Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting, mentioning) and assess scientific claims; use it when you need to evaluate a paper’s reliability or its acceptance in the literature
Access Scite.ai Smart Citations to classify how a paper is cited (supporting, contrasting,... remained well-aligned with the documented contract in the preserved audit.
Basic 29/40|Specialized 60/60|Total 93/100
✅A1The scite-database output structure matches the documented deliverable
✅A2The script execution path completed successfully 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 Total94.6 / 100
Key Strengths
- Primary routing is Evidence Insight with execution mode B
- Static quality score is 74/100 and dynamic average is 81.6/100
- Assertions and command execution outcomes are recorded per input for human review
- Execution verification summary: Script verification 4/4; adjustment=5. scite_client.py: OK; test_conn.py: OK; test_ua.py: OK; test_urllib.py: OK