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BF listing-doctor

Audit and score any Amazon listing's health across four engines — CDQ (Amazon's internal 6-metric content quality score), A9 indexability, COSMO intent-coverage (commonsense concept coverage: use-case/audience/goal/constraint), and Alexa discoverability — plus a full compliance check (title 75-char July-2026 rule, item highlights 125-char, bullets, backend search terms, image defects). Pure diagnosis: outputs a health report with scores, critical issues, and a prioritized fix list. Does NOT rewrite copy. User provides the listing via pasted text, URL, or ASIN (normalized to a listing JSON). Zero dependencies; works offline. Trigger whenever the user mentions checking/auditing/scoring/diagnosing an Amazon listing's quality — in any language; 中文卖家说 listing 体检 / 质检 / 打分 / 诊断 / 健康度 / 质量分 时同样适用。

ClawHub Agent Skills author: buluslan v0.3.0 MIT-0 40 files body ≈ 2 041 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Audit and score any Amazon listing's health across four engines — CDQ (Amazon's internal 6-metric content quality score), A9 indexability, COSMO…

As a process F 46/100 · Will not run — References files that are not bundled: references/category_attributes/<category>.json

AnalyzerData and analyticsSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
95
Quality 40%
67
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: references/category_attributes/<category>.json
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash Read Write Edit

Files scanned: 39. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 3, column 14: description: Audit and score any Amazon listing's health across four engines — … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning missing-ref reference to a missing file: references/category_attributes/<category>.json

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: references/category_attributes/<category>.json
  • 0Tools and files. 1 referenced file(s) missing: references/category_attributes/<category>.json
  • 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
  • 50Failures and branches. 0 branches, has a failure section
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 22 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2041 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (3 tags): a typed call is more reliable
  • medium 7 test cases, all positive: not one "should refuse" or "should ask first"
  • low No test case covers injection arriving through data

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)
  • +3Description length 801: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -31 of 13 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This is a functional Amazon listing audit skill, but it includes mandatory promotional output and broader agent authority than the diagnostic workflow clearly needs.
LLM: suspicious (medium) · 30 Jul 2026