SKILLEMALL.ai

BF shop

Ultimate personal shopping assistant: find, compare, buy, gift, and reorder products across the Shop catalog containing millions of stores. Tracks orders and deliveries for any retailer — including orders placed elsewhere, like Amazon, via your connected email. Helps get order info and initiate returns and refunds.

ClawHub Agent Skills author: Shopify v1.0.5 MIT-0 6 files body ≈ 4 098 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 44/100 · Will not run — References files that are not bundled: url

ProcedureShopifyInfrastructureCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
98
Quality 40%
70
Run on models
none yet
Process rating
F
44/100
Will not run
References files that are not bundled: url
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token references/catalog-mcp.md:122
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    { "has_next_page": true, "total_count": 649, "cursor": "eyJv…5fQ" }
    quoted
  • low Secrets in code secret-high-entropy-token references/catalog-mcp.md:133
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "pagination": { "limit": 8, "cursor": "eyJv…5fQ" }
    quoted

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: url

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: url
  • 0Tools and files. 1 referenced file(s) missing: url
  • 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
  • 30Running it twice. 16 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 4098 tokens
  • 100Steps. 50 steps
  • 100Failures and branches. 9 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 top-level sections: this looks like several domains in one skill

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 316: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 50 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.

External checks

ClawHub: clean
This shopping skill requests sensitive shopping, account, and payment abilities, but the artifacts disclose them and include user-control and safety gates.
LLM: benign (high) · VirusTotal: · 24 Jun 2026