AB buck-mason-stylist
Personal shopping skill for Buck Mason. Stock-checks (online + nearby store), wardrobe gap analysis, season- and event-aware outfit suggestions, AI try-on lookbooks, and one-shot MPP checkout via link-cli. Customer brings sizes once; the agent reuses them across requests.
As a process B 70/100 · Nearly there — weak spots: when it triggers, consistency, execution cost
IntegrationStripeAI and agentsCommerceInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
- 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: 41. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 8829 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "authors" - note
frontmatter-keyunknown frontmatter key "runtime"
Process rating: all ten parameters 70/100
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (buck-mason-stylist) differs from the folder (buck-mason-stylist-skill)
- 40Execution cost. Instruction body is 8829 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 92 steps
- 100Result and completion. Output format and completion criterion are stated
- 100Failures and branches. 18 branches, has a failure section
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 10 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (18 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)
- +2Single-language instructions
- +3Description length 272: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 92 items
- +3Output format is stated explicitly
- +4Has examples (0 code blocks)
- +4Reference files are cited in the instructions (13 of 13)
- +3All 8 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.
External checks
ClawHub: suspicious
This is a coherent Buck Mason shopping skill, but it deserves Review because it can handle purchases, account tokens, personal photos, public lookbooks, and vote data.
LLM: suspicious (high) · 28 May 2026