BD epidemiologist-analyst
Analyzes disease patterns and health events through epidemiological lens using surveillance systems, outbreak investigation methods, and disease modeling frameworks. Provides insights on disease spread, risk factors, prevention strategies, and public health interventions. Use when: Disease outbreaks, health policy evaluation, risk assessment, intervention planning. Evaluates: Transmission dynamics, risk factors, causality, population health impact, intervention effectiveness.
Analyzes disease patterns and health events through epidemiological lens using surveillance systems, outbreak investigation methods, and disease modeling…
As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: RA-Skills
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 18326 tokens (recommended < 5000); move details to references/ - note
edit-residuethe text marks something as outdated (lines 1449, 1455, 1461, 1467, 1473): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 45/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 10Execution cost. Instruction body is 18326 tokens: crowds the task out of the window
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 6 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 60Steps. 788 steps, 7 vague phrases
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- low 15 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 480: enough signal without eating the budget
- +4Structure: 62 headings
- +3Step-by-step instructions: 788 items
- +4Has examples (0 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.