Evidence Insight
fda-database
Query the openFDA API to retrieve FDA regulatory datasets (drugs, devices, adverse events, recalls, submissions, UNII) when you need programmatic safety/regulatory evidence for analysis or research.
86100Total Score
Core Capability
84 / 100
Functional Suitability
10 / 12
Reliability
9 / 12
Performance & Context
8 / 8
Agent Usability
13 / 16
Human Usability
8 / 8
Security
10 / 12
Maintainability
10 / 12
Agent-Specific
16 / 20
Medical Task
20 / 20 Passed
92Query the openFDA API to retrieve FDA regulatory datasets (drugs, devices, adverse events, recalls, submissions, UNII) when you need programmatic safety/regulatory evidence for analysis or research
4/4
88Query the openFDA API to retrieve FDA regulatory datasets (drugs, devices, adverse events, recalls, submissions, UNII) when you need programmatic safety/regulatory evidence for analysis or research
4/4
86Unified Python interface (FDAQuery) for multiple openFDA domains (drug, device, food, animalandveterinary, other)
4/4
86Convenience helpers for common tasks:
4/4
86End-to-end case for Unified Python interface (FDAQuery) for multiple openFDA domains (drug, device, food, animalandveterinary, other)
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 legacy audit preserved a method-grounded interpretation of the Query the openFDA API to retrieve FDA regulatory datasets (drugs, devices, adverse events, recalls, submissions, UNII) when you need programmatic safety/regulatory evidence for analysis or research workflow. |
| Code Usability | PASS | Code usability passed because the search or lookup workflow still exposed a usable entrypoint and output expectation. |
Core Capability84 / 100 — 8 Categories
Functional Suitability
The archived deduction in functional suitability traces back to: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
10 / 12
83%
Reliability
Related legacy finding for fda-database: 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
The legacy audit deducted points for fda-database in agent usability.
13 / 16
81%
Human Usability
Human usability reached full score in the archived evaluation.
8 / 8
100%
Security
A modest deduction remained in security for fda-database in the archived review.
10 / 12
83%
Maintainability
The legacy audit deducted points for fda-database in maintainability.
10 / 12
83%
Agent-Specific
Related legacy finding for fda-database: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
16 / 20
80%
Core Capability Total84 / 100
Medical TaskExecution Average: 87.6 / 100 — Assertions: 20/20 Passed
92
Canonical
Query the openFDA API to retrieve FDA regulatory datasets (drugs, devices, adverse events, recalls, submissions, UNII) when you need programmatic safety/regulatory evidence for analysis or research
4/4 ✓
88
Variant A
Query the openFDA API to retrieve FDA regulatory datasets (drugs, devices, adverse events, recalls, submissions, UNII) when you need programmatic safety/regulatory evidence for analysis or research
4/4 ✓
86
Edge
Unified Python interface (FDAQuery) for multiple openFDA domains (drug, device, food, animalandveterinary, other)
4/4 ✓
86
Variant B
Convenience helpers for common tasks:
4/4 ✓
86
Stress
End-to-end case for Unified Python interface (FDAQuery) for multiple openFDA domains (drug, device, food, animalandveterinary, other)
4/4 ✓
92
Canonical✅ Pass
Query the openFDA API to retrieve FDA regulatory datasets (drugs, devices, adverse events, recalls, submissions, UNII) when you need programmatic safety/regulatory evidence for analysis or research
The archived run for Query the openFDA API to retrieve FDA regulatory datasets (drugs,... remained guidance-driven rather than command-driven.
Basic 36/40|Specialized 56/60|Total 92/100
✅A1The fda-database 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
88
Variant A✅ Pass
Query the openFDA API to retrieve FDA regulatory datasets (drugs, devices, adverse events, recalls, submissions, UNII) when you need programmatic safety/regulatory evidence for analysis or research
This variant a case stayed inside the documented workflow and remained instruction-led.
Basic 34/40|Specialized 54/60|Total 88/100
✅A1The fda-database 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
86
Edge✅ Pass
Unified Python interface (FDAQuery) for multiple openFDA domains (drug, device, food, animalandveterinary, other)
This edge case stayed inside the documented workflow and remained instruction-led.
Basic 33/40|Specialized 53/60|Total 86/100
✅A1The fda-database 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
86
Variant B✅ Pass
Convenience helpers for common tasks:
The archived run for Convenience helpers for common tasks: remained guidance-driven rather than command-driven.
Basic 32/40|Specialized 54/60|Total 86/100
✅A1The fda-database 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
86
Stress✅ Pass
End-to-end case for Unified Python interface (FDAQuery) for multiple openFDA domains (drug, device, food, animalandveterinary, other)
The archived run for End-to-end case for Unified Python interface (FDAQuery) for... remained guidance-driven rather than command-driven.
Basic 29/40|Specialized 57/60|Total 86/100
✅A1The fda-database 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 Total87.6 / 100
Key Strengths
- Primary routing is Evidence Insight with execution mode B
- Static quality score is 84/100 and dynamic average is 79.6/100
- Assertions and command execution outcomes are recorded per input for human review
- Execution verification summary: Script verification 0/2; adjustment=0. fda_examples.py: error=Command 'python "E:\aipoach-skill\20260314\Evidence Insight\fda-database\scripts\fda_examples.py" --help' timed out after 8 seconds; fda_query.py: rc=1