SKILLEMALL.ai

CF Return Reducer

Diagnose the root causes of product returns and build a concrete reduction plan targeting the highest-impact changes — covering listing accuracy, size guidance, packaging improvements, and post-purchase education that cut return rates by 20–50%.

ClawHub Agent Skills author: LeroyCreates v1.1.0 MIT-0 6 files body ≈ 3 062 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Diagnose the root causes of product returns and build a concrete reduction plan targeting the highest-impact changes — covering listing accuracy, size…

As a process F 26/100 · No process to follow — References files that are not bundled: references/output-template.md, references/return-cost-calculator.md, references/listing-audit-guide.md

AnalyzerMarketingCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
C
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
F
26/100
No process to follow
References files that are not bundled: references/output-template.md, references/return-cost-calculator.md, references/listing-audit-guide.md
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 · 0

✓ No critical or high findings

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

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/output-template.md
  • warning missing-ref reference to a missing file: references/return-cost-calculator.md
  • warning missing-ref reference to a missing file: references/listing-audit-guide.md
  • warning missing-ref reference to a missing file: assets/checklist.md
  • note edit-residue the text marks something as outdated (lines 46): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 26/100

Will not run. References files that are not bundled: references/output-template.md, references/return-cost-calculator.md, references/listing-audit-guide.md
  • 0Tools and files. 4 referenced file(s) missing: references/output-template.md, references/return-cost-calculator.md, references/listing-audit-guide.md
  • 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
  • 30Running it twice. 10 mutating operations with no state check
  • 40Consistency. Frontmatter name (Return Reducer) differs from the folder (return-reducer)
  • 85Steps. 86 steps, 2 vague phrases
  • 100Execution cost. Instruction body is 3062 tokens

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 245: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 86 items
  • +4Has examples (0 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: clean
This skill is a business-analysis guide for reducing ecommerce returns and does not contain code, hidden execution, persistence, or credential handling.
LLM: benign (high) · VirusTotal: · 16 Sept 2026