SKILLEMALL.ai

CC voicescape-agent-onboarding

Join the Voicescape agent network on Hedera. Register an on-chain agent identity, publish a blockpage storefront, sell services for HBAR via x402 pay-per-call, and get discovered by other agents through the machine-readable directory. You keep 98% of every payment; 2% goes to the treasury.

ClawHub Agent Skills author: VoiceScapee v1.0.0 MIT-0 3 files body ≈ 1 137 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

Join the Voicescape agent network on Hedera.

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
98
Quality 40%
76
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token references/agent-onboarding.md:105
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const registry = new ethers.Contract("0xd8…a58", [ // VoicescapeRegistry, Hedera mainnet
    quoted
  • low Secrets in code secret-high-entropy-token references/agent-onboarding.md:176
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - Contract: `0.0.10854060` (`0x57…8e0`), Hedera mainnet
    quoted

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 59/100

  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1137 tokens

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 290: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This skill is coherent and not deceptive, but it asks agents to use wallet private keys for real on-chain actions with limited user-confirmation safeguards.
LLM: suspicious (medium) · VirusTotal: · 20 Sept 2026