SKILLEMALL.ai
GitHub ↗ RU Sign in

AB coinpilot-hyperliquid-copy-trade

Automate copy trading on Hyperliquid via Coinpilot to discover, investigate, and mirror top on-chain traders in real time with low execution latency. This skill requires high-sensitivity credentials (Coinpilot API key, Privy user ID, and wallet private keys) and should be used only when users explicitly request setup, lead discovery, subscription start/stop, risk updates, or performance checks. Repo: https://github.com/coinpilot-labs/skills

modbender/skill-library-mcp Agent Skills author: modbender MIT 7 files body ≈ 2 294 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Automate copy trading on Hyperliquid via Coinpilot to discover, investigate, and mirror top on-chain traders in real time with low execution latency.

As a process B 67/100 · Nearly there — weak spots: result and completion, when it triggers

IntegrationGitHubData and analyticstype 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
A
90/100
safety, quality, tests
Safety 60%
90
Quality 40%
91
Run on models
none yet
Process rating
B
67/100
Nearly there
Result and completion w 14
0
When it triggers w 12
20
Tools and files w 18
60
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Risky intent medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The purpose itself is risky: wallets, browser password stores, offensive security. Even an honest implementation gives the agent access to things that cost money.

For the author

Explain in the description why the access is needed and how it is limited; add tests that show refusals on dangerous requests.

How to improve

    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
    • medium Risky intent intent-wallet-secrets SKILL.md:28
      Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
      - **Additional required secrets:** `userId`, primary wallet private key, and follower wallet private keys.
    • low Secrets in code secret-high-entropy-token assets/coinpilot.json:8
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      "address": "0xRE…ESS",
      placeholder
    • low Secrets in code secret-high-entropy-token assets/coinpilot.json:9
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      "privateKey": "0xRE…KEY",
      placeholder
    • low Secrets in code secret-high-entropy-token assets/coinpilot.json:14
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      "address": "0xRE…S_1",
      placeholder
    • low Secrets in code secret-high-entropy-token assets/coinpilot.json:15
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      "privateKey": "0xRE…Y_1",
      placeholder
    • low Secrets in code secret-high-entropy-token assets/coinpilot.json:20
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      "address": "0xRE…S_2",
      placeholder

    Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 67/100

    • 0Result and completion. Does not say what the result is
    • 20When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
    • 85Steps. 86 steps, 1 vague phrases
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2294 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

    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 444: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 86 items
    • +4Has examples (0 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.