SKILLEMALL.ai

AF alibabacloud-esa-pages-deploy

Deploy HTML pages, static directories, or custom edge functions to Alibaba Cloud ESA edge nodes. Manage Edge KV for distributed key-value storage. Use when deploying web pages, static sites, frontend builds, serverless edge functions, or edge data storage to ESA Functions & Pages.

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.2 MIT-0 9 files body ≈ 3 756 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 59/100 · Will not run — References files that are not bundled: assets/*

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
85
Run on models
none yet
Process rating
F
59/100
Will not run
References files that are not bundled: assets/*
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
50
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration exfil-secret-in-url references/pages-api.md:444
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    return `https://${domain}?esa_er_token=…
    placeholder

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/*

Process rating: all ten parameters 59/100

Will not run. References files that are not bundled: assets/*
  • 0Tools and files. 1 referenced file(s) missing: assets/*
  • 0Result and completion. Does not say what the result is
  • 50When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 29 steps
  • 100Failures and branches. 9 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3756 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (8 tags): a typed call is more reliable

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 281: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 5 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: suspicious
This skill appears to deploy to Alibaba Cloud ESA as advertised, but it can make live production cloud changes and expose short-lived access-token URLs in logs.
LLM: suspicious (high) · VirusTotal: · 29 May 2026