SKILLEMALL.ai

BD powpow-register

Helps users complete PowPow (Bubble) registration, Alipay/PayPal subscription activation and one-click login entirely inside the conversation. The agent fills in the form on their behalf (including avatar upload), sends the email verification code, creates the payment order and tracks it until it arrives; the user only provides basic information, checks the verification code once, and pays at the Alipay/PayPal cashier — never leaving the conversation. Triggers when the user says "register for Bubble", "sign up for a powpow account", "how do I register for Bubble", "help me create a powpow account", "sign up powpow"; also handles registration issues (verification code not received, username/email already taken) and activation issues (login says "account not activated" / pending_payment, how to subscribe/pay). Requires Node ≥ 18; automatically falls back to pure guidance mode when unavailable. Does not cover posting/creating digital humans (that's powpow-simple's job), nor code development.

ClawHub Agent Skills author: 度人自度 v2.1.0 MIT-0 9 files · 1 script body ≈ 3 318 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Helps users complete PowPow (Bubble) registration, Alipay/PayPal subscription activation and one-click login entirely inside the conversation.

As a process D 49/100 · Unfinished process — References files that are not bundled: assets/screenshots/powpow-0N.jpg, assets/screenshots/

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
D
49/100
Unfinished process
References files that are not bundled: assets/screenshots/powpow-0N.jpg, assets/screenshots/
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

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: 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/screenshots/powpow-0N.jpg
  • warning missing-ref reference to a missing file: assets/screenshots/

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: assets/screenshots/powpow-0N.jpg, assets/screenshots/
  • 0Tools and files. 2 referenced file(s) missing: assets/screenshots/powpow-0N.jpg, assets/screenshots/
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Consistency. Frontmatter name (powpow-register) differs from the folder (powpow-register-en)
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 47 steps
  • 100Failures and branches. 4 branches, has a failure section
  • 100Execution cost. Instruction body is 3318 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 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1003: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 47 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: suspicious
The skill’s registration and payment-assistance behavior is mostly coherent, but it handles account session tokens in a predictable temporary file during payment-adjacent flows, so users should review it carefully before installing.
LLM: suspicious (high) · VirusTotal: · 11 Oct 2026