Academic Writing
medication-adherence-message-gen
85100Total Score
Core Capability
88 / 100
Functional Suitability
11 / 12
Reliability
10 / 12
Performance & Context
8 / 8
Agent Usability
14 / 16
Human Usability
8 / 8
Security
10 / 12
Maintainability
10 / 12
Agent-Specific
17 / 20
Medical Task
18 / 20 Passed
90Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries
4/4
86Use this skill for academic writing tasks that require explicit assumptions, bounded scope, and a reproducible output format
4/4
84Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries
4/4
82Packaged executable path(s): scripts/main.py
4/4
76End-to-end case for Scope-focused workflow aligned to: Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries
2/4
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 preserved source-faithful writing behavior without adding unsupported results or conclusions. |
| Practice Boundaries | PASS | The evaluated outputs stayed inside the Use medication adherence message gen for academic writing workflows that need structured... workflow rather than drifting into unsupported scientific interpretation. |
| Methodological Ground | PASS | The legacy audit preserved a method-grounded interpretation of the Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries workflow. |
| Code Usability | N/A | This package is judged mainly on writing behavior, so code usability is not a central evaluation target here. |
Core Capability88 / 100 — 8 Categories
Functional Suitability
The writing workflow lands well overall, with minor remaining headroom in the final deliverable contract.
11 / 12
92%
Reliability
The archived deduction in reliability traces back to: Stabilize executable path and fallback behavior. Some inputs only reached PARTIAL due to execution gaps or weak boundary handling
10 / 12
83%
Performance & Context
No point loss was recorded for performance context in the legacy audit.
8 / 8
100%
Agent Usability
The package guides agents reasonably well, while still leaving a little room for crisper trigger wording.
14 / 16
88%
Human Usability
The legacy audit gave full marks to human usability for this package.
8 / 8
100%
Security
The workflow stayed safe overall, with only a small remaining deduction around boundary signaling.
10 / 12
83%
Maintainability
The workflow is low-risk to maintain, though a little more structural cleanup would likely close the remaining gap.
10 / 12
83%
Agent-Specific
Agent specific was softened by the legacy issue 'Stabilize executable path and fallback behavior'. Some inputs only reached PARTIAL due to execution gaps or weak boundary handling
17 / 20
85%
Core Capability Total88 / 100
Medical TaskExecution Average: 83.6 / 100 — Assertions: 18/20 Passed
90
Canonical
Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries
4/4 ✓
86
Variant A
Use this skill for academic writing tasks that require explicit assumptions, bounded scope, and a reproducible output format
4/4 ✓
84
Edge
Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries
4/4 ✓
82
Variant B
Packaged executable path(s): scripts/main.py
4/4 ✓
76
Stress
End-to-end case for Scope-focused workflow aligned to: Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries
2/4 ✓
90
Canonical✅ Pass
Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries
Use medication adherence message gen for academic writing workflows... remained well-aligned with the documented contract in the preserved audit.
Basic 38/40|Specialized 52/60|Total 90/100
✅A1The medication-adherence-message-gen output structure covers required deliverable blocks
✅A2Script execution path is available (command exit code is 0)
✅A3The output stays within declared skill scope and target objective
✅A4Required research safety/boundary guidance is present without overclaims
Pass rate: 4 / 4
86
Variant A✅ Pass
Use this skill for academic writing tasks that require explicit assumptions, bounded scope, and a reproducible output format
The archived evaluation treated Use this skill for academic writing tasks that require explicit... as a clean in-scope run.
Basic 36/40|Specialized 50/60|Total 86/100
✅A1The medication-adherence-message-gen output structure covers required deliverable blocks
✅A2Script execution path is available (command exit code is 0)
✅A3The output stays within declared skill scope and target objective
✅A4Required research safety/boundary guidance is present without overclaims
Pass rate: 4 / 4
84
Edge✅ Pass
Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries
The Use medication adherence message gen for academic writing workflows... path verified the packaged helper command without exposing a deeper execution issue.
Basic 35/40|Specialized 49/60|Total 84/100
✅A1The medication-adherence-message-gen output structure covers required deliverable blocks
✅A2Script execution path is available (command exit code is 0)
✅A3The output stays within declared skill scope and target objective
✅A4Required research safety/boundary guidance is present without overclaims
Pass rate: 4 / 4
82
Variant B✅ Pass
Packaged executable path(s): scripts/main.py
The Packaged executable path(s): scripts/main.py scenario completed within the documented Use medication adherence message gen for academic writing workflows that need structured... boundary.
Basic 34/40|Specialized 48/60|Total 82/100
✅A1The medication-adherence-message-gen output structure covers required deliverable blocks
✅A2Script execution path is available (command exit code is 0)
✅A3The output stays within declared skill scope and target objective
✅A4Required research safety/boundary guidance is present without overclaims
Pass rate: 4 / 4
76
Stress✅ Pass
End-to-end case for Scope-focused workflow aligned to: Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries
This stress case was mostly intact, but the archived review centered its concern on: The output stays within declared skill scope and target objective.
Basic 31/40|Specialized 45/60|Total 76/100
✅A1The medication-adherence-message-gen output structure covers required deliverable blocks
✅A2Script execution path is available (command exit code is 0)
❌A3The output stays within declared skill scope and target objective
❌A4Required research safety/boundary guidance is present without overclaims
Pass rate: 2 / 4
Medical Task Total83.6 / 100
Key Strengths
- Primary routing is Academic Writing with execution mode B
- Static quality score is 88/100 and dynamic average is 83.6/100
- Assertions and command execution outcomes are recorded per input for human review