SKILLEMALL.ai

BF alibabacloud-cas-ssl-cert-purchase

Purchase and apply SSL certificates via Alibaba Cloud CAS (V2.0 unified flow). Supports China site (ProductCode=cas) and International site (ProductCode=cas_intl). Automates instance acquisition via BSS API or reuses existing inactive instances. All certificate types follow: list-instances → update-instance → apply-certificate. OV/EV certificates require additional company info and contact IDs. Activate when user says "apply certificate", "purchase SSL", "buy certificate", "certificate order", "purchase certificate instance", "buy overseas certificate", "申请证书", "购买 SSL", "买证书", "证书下单", "购买证书实例", "买海外证书".

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 10 files body ≈ 7 508 tokens Open the sourceclawhub.ai analyzed 2 d ago

Purchase and apply SSL certificates via Alibaba Cloud CAS (V2.0 unified flow). Supports China site (ProductCode=cas) and International site…

As a process F 58/100 · Will not run — References files that are not bundled: references/cli-installation-guide.md, scripts/bss-purchase.sh, references/ram-policies.md

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
F
58/100
Will not run
References files that are not bundled: references/cli-installation-guide.md, scripts/bss-purchase.sh, references/ram-policies.md
Tools and files w 18
0
Inputs and preconditions w 11
30
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7508 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/cli-installation-guide.md
  • warning missing-ref reference to a missing file: scripts/bss-purchase.sh
  • warning missing-ref reference to a missing file: references/ram-policies.md
  • warning missing-ref reference to a missing file: references/api-commands.md
  • warning missing-ref reference to a missing file: references/verification-method.md
  • warning missing-ref reference to a missing file: references/error-handling.md
  • warning missing-ref reference to a missing file: references/related-commands.md
  • warning missing-ref reference to a missing file: references/acceptance-criteria.md

Process rating: all ten parameters 58/100

Will not run. References files that are not bundled: references/cli-installation-guide.md, scripts/bss-purchase.sh, references/ram-policies.md
  • 0Tools and files. 8 referenced file(s) missing: references/cli-installation-guide.md, scripts/bss-purchase.sh, references/ram-policies.md
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 12 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 7508 tokens
  • 100Steps. 26 steps
  • 100Failures and branches. 12 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 8 example trigger phrases
  • +3Description length 611: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This skill is a disclosed Alibaba Cloud certificate purchase/application workflow with real billing authority, but its sensitive actions are purpose-aligned and gated by explicit user confirmation.
LLM: benign (high) · VirusTotal: · 30 Jul 2026