AB aiha-exposure-assessment-strategy
Use this skill when a CIH, ROH, CSP, or EHS manager needs to draft an AIHA-aligned occupational exposure assessment strategy for a workplace, process, or Similar Exposure Group (SEG). Covers basic characterization, SEG construction, qualitative AIHA exposure rating, quantitative sampling plan, and statistical analysis. Produces a DRAFT strategy with an unsigned CIH/ROH/CSP review block for licensed industrial-hygiene review before any respiratory-protection or control-banding decisions.
As a process B 70/100 · Nearly there — weak spots: inputs and preconditions, running it twice
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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 7403 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 70/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 6 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Result and completion. Output format stated, no completion criterion
- 70Failures and branches. 8 branches
- 70Execution cost. Instruction body is 7403 tokens
- 100Tools and files. No external tools needed
- 100Steps. 133 steps
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low The response is described with custom markup (5 tags): a typed call is more reliable
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)
- +1No license
- +2Single-language instructions
- +3Description length 491: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 133 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.