AC vestafolio-sasu-vs-eurl
Compare SASU (président assimilé salarié) and EURL (gérant TNS) net director income for a French solo entrepreneur using Vestafolio's simulator API, after asking the simulator's questions (revenue, deductible charges, capital social, TMI, PFU vs barème, salary level per structure). Use when a user asks "SASU ou EURL", which company structure pays more, about cotisations sociales assimilé salarié vs TNS, dividend taxation in an EURL, or optimal salary vs dividendes split.
Compare SASU (président assimilé salarié) and EURL (gérant TNS) net director income for a French solo entrepreneur using Vestafolio's simulator API, after…
As a process C 58/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice
The same skill appears in 1 more place: ClawHub
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 58/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 14 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 60Failures and branches. 2 branches
- 85Steps. 37 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2580 tokens
- 100Progress reporting. Reports progress
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 475: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 37 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.