SKILLEMALL.ai

AF high-repeat-small-goods-ops

E-commerce operations workflow for "high-repeat small goods" stores (cosmetics, phone cases, accessories, small jewelry, daily FMCG). Trigger whenever the user mentions store operations, repeat purchase, acquisition, membership, campaigns, assortment, content/short-form video/live conversion, customer-service SOPs, reviews and post-purchase support, ad ROI, GMV/CVR/AOV/repeat rate, or Taobao/Tmall/JD/Pinduoduo/Douyin/Kuaishou/Xiaohongshu/independent sites—and output executable playbooks and table templates (weekly execution, monthly retrospective), not generic advice.

ClawHub Agent Skills author: RIJOY-AI v0.1.2 MIT-0 2 files body ≈ 1 781 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 56/100 · Will not run — References files that are not bundled: references/templates.md, references/metrics.md, scripts/generate_content.py

ProcedureMarketingInfrastructureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
56/100
Will not run
References files that are not bundled: references/templates.md, references/metrics.md, scripts/generate_content.py
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/templates.md
  • warning missing-ref reference to a missing file: references/metrics.md
  • warning missing-ref reference to a missing file: scripts/generate_content.py

Process rating: all ten parameters 56/100

Will not run. References files that are not bundled: references/templates.md, references/metrics.md, scripts/generate_content.py
  • 0Tools and files. 3 referenced file(s) missing: references/templates.md, references/metrics.md, scripts/generate_content.py
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (high-repeat-small-goods-ops) differs from the folder (high-repeat-small-goods-ops-2)
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 52 steps, 2 vague phrases
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 1781 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 574: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 52 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This is a text-only e-commerce operations planning skill with broad activation wording but no hidden execution, credential use, or account-control behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026