SKILLEMALL.ai

AA amazon-reviews

Collect Amazon product reviews with the official Gecho Bridge MCP tool, including review text, ratings, dates, and reviewer metadata when available. Use when the user provides an Amazon product URL or ASIN and wants review research.

ClawHub Hermes author: Gecho AI v1.1.37 MIT-0 3 files body ≈ 3 161 tokens Open the sourceclawhub.ai analyzed 3 d ago

Collect Amazon product reviews with the official Gecho Bridge MCP tool, including review text, ratings, dates, and reviewer metadata when available.

As a process A 81/100 · Runs to the end — weak spots: running it twice

AnalyzerInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
A
81/100
Runs to the end
Running it twice w 4
30
Tools and files w 18
60
Result and completion w 14
60
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 232 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)

Process rating: all ten parameters 81/100

  • 30Running it twice. 1 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 60Consistency. The Hermes dialect needs category and tags
  • 100Steps. 74 steps
  • 100When it triggers. States when to use and when not to
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 3 branches, has a failure section
  • 100Execution cost. Instruction body is 3161 tokens
  • 100Progress reporting. Reports progress
  • low 17 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)
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 232: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 74 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This skill is a disclosed Amazon review-collection workflow using Gecho, with no artifact evidence of hidden, destructive, or account-changing behavior.
LLM: benign (high) · VirusTotal: · 22 Aug 2026