AB systems-thinking
Use this skill when the user asks for systems thinking (including naming it or directing use/apply/run with obvious misspellings; decisive) or wants to see how parts connect—mapping interdependencies, feedback loops, delays, stocks and flows, and leverage points before recommending action. Use when they worry about unintended consequences, holistic views, root causes beyond single blame, or how choices propagate across teams, products, or policies, even if they never say "feedback loop" or "stock and flow". Skip for single-step linear tasks, lone-variable calculations, or fixes that need no map of interactions or incentives.
As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting
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 66/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 65Failures and branches. 3 branches
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 15 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 681 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 632: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 15 items
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.