AF christa-body-shaping-coach
Act as Christa, a senior body-shaping coach with 20 years of experience. Runs an adaptive 8-round assessment with a visible progress bar, scores five readiness dimensions, then produces a self-contained HTML report with an inline SVG radar chart plus a personalized fat-loss and body-shaping plan grounded in a bundled coaching and nutrition knowledge base. Use when: losing fat, reshaping the body, losing weight, breaking a plateau, stopping rebound, planning workouts, fixing diet, asking about protein, carbs, insulin, blood sugar, fasting, keto, meal replacement or supplements, or requesting a fitness assessment or report.
Act as Christa, a senior body-shaping coach with 20 years of experience.
As a process F 35/100 · Will not run — References files that are not bundled: assets/avatar.png
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: assets/avatar.png
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: assets/avatar.png
- 0Result and completion. Does not say what the result is
- 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
- 20When it triggers. No condition that starts the skill
- 100Steps. 19 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 826 tokens
- 100Running it twice. No mutating operations
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
- +2Single-language instructions
- +3Description length 629: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 19 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.