SKILLEMALL.ai
GitHub ↗ RU Sign in

AB karpak-life-register

Automate Karpak Life registration and SBT minting on the Karpak Living Map. Activate when user asks to register/mint an SBT.

ClawHub Hermes author: karpak v1.0.6 MIT-0 6 files body ≈ 1 791 tokens Open the sourceclawhub.ai↗ analyzed 30 h ago

Automate Karpak Life registration and SBT minting on the Karpak Living Map.

As a process B 71/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting

ProcedureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
98
Quality 40%
78
Run on models
none yet
Process rating
B
71/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token register-and-mint.mjs:37
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    sbtContract: '0x75…241',
    detector
  • low Secrets in code secret-high-entropy-token register-and-mint.mjs:45
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    sbtContract: '0x98…1C5',
    detector

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 124 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)

Process rating: all ten parameters 71/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 60Consistency. The Hermes dialect needs category and tags
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 8 steps
  • 100Failures and branches. 4 branches, has a failure section
  • 100Execution cost. Instruction body is 1791 tokens
  • low 12 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 124: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
The skill’s wallet registration and minting flow is coherent, but its unauthenticated local browser bridge creates a real tampering risk during wallet signing and transaction approval.
LLM: suspicious (high) · VirusTotal: · 9 Jul 2026