SKILLEMALL.ai
GitHub ↗ RU Sign in

BD avantis

Execute leverage trading on Avantis (Base). Long/short crypto, forex, commodities with up to 100x leverage. Uses Python SDK with direct wallet integration.

ClawHub Agent Skills author: droppingbeans v1.0.1 9 files body ≈ 1 957 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentInfrastructuretype 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
B
83/100
safety, quality, tests
Safety 60%
97
Quality 40%
61
Run on models
none yet
Process rating
D
49/100
Unfinished process
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token references/quick-start.md:62
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Wallet**: `0x79…E64`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:10
    High-entropy token-like string (may be an id, hash or a credential)
    - Wallet: 0x79…E64
  • low Secrets in code secret-high-entropy-token SKILL.md:44
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Main Wallet**: `0x79…E64`
    quoted

Files scanned: 9. 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 49/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (avantis) differs from the folder (avantis-skill)
  • 50Failures and branches. 0 branches, has a failure section
  • 85Steps. 105 steps, 2 vague phrases
  • 100Tools and files. No external tools needed
  • 100Execution cost. Instruction body is 1957 tokens
  • 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

  • +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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • -32 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 155: enough signal without eating the budget
  • +4Structure: 55 headings
  • +3Step-by-step instructions: 105 items
  • +4Has examples (11 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
This skill is intended for real leveraged trading, but it handles wallet keys and live mainnet transactions in ways that need careful review before use.
LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026