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DD ai-walllet-payment-system

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: cerbug45 v0.1.0 5 files body ≈ 3 100 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
D
56/100
safety, quality, tests
Safety 60%
94
Quality 40%
0
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token README.md:151
    High-entropy token-like string (may be an id, hash or a credential)
    from ultr…ITY import MaximumSecurityPaymentAPI
  • low Secrets in code secret-high-entropy-token README.md:178
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    to_address="0x74…bEb",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:135
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    python -c "from ultr…ITY import MaximumSecurityPaymentAPI; print('✅ Installation successful')"
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:145
    High-entropy token-like string (may be an id, hash or a credential)
    from ultr…ITY import MaximumSecurityPaymentAPI
  • low Secrets in code secret-high-entropy-token SKILL.md:185
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    to_address="0x74…bEb",
    quoted
  • low Risky intent intent-offensive-security SKILL.md:419
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - [ ] Penetration testing performed

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 43/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 3 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 78 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3100 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -220 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 40 headings
  • +3Step-by-step instructions: 78 items
  • +4Has examples (26 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
This is a real cryptocurrency wallet/payment skill, but it can expose wallet recovery material and send irreversible ETH while making security claims the code does not support.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026