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BD hl-privateer

Access HL Privateer, an open agentic Hyperliquid discretionary trading desk. Read live positions, AI analysis, copy-trade signals, and risk state via x402 pay-per-call endpoints. No API keys. No sign-ups. Just x402 on Base (USDC).

modbender/skill-library-mcp Agent Skills author: modbender MIT 6 files body ≈ 2 034 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Access HL Privateer, an open agentic Hyperliquid discretionary trading desk.

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype 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
84/100
safety, quality, tests
Safety 60%
92
Quality 40%
72
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Secrets in code secret-high-entropy-token agents.json:30
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "asset_address": "0x83…913",
    quoted
  • low Secrets in code secret-high-entropy-token api.md:29
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - Asset: USDC (`0x83…913`)
    quoted
  • low Secrets in code secret-high-entropy-token hl-privateer.md:64
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Asset**: USDC (`0x83…913`)
    quoted
  • low Secrets in code secret-high-entropy-token llms.txt:32
    High-entropy token-like string (may be an id, hash or a credential)
    - Asset: USDC (0x83…913)
  • low Secrets in code secret-high-entropy-token SKILL.md:64
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Asset**: USDC (`0x83…913`)
    quoted
  • low Secrets in code secret-high-entropy-token x402.md:23
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Asset Address | `0x83…913` |
    table
  • low Secrets in code secret-high-entropy-token x402.md:81
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "asset": "0x83…913",
    quoted
  • low Secrets in code secret-high-entropy-token x402.md:127
    High-entropy token-like string (may be an id, hash or a credential)
    PAYMENT-RESPONSE: eyJz…iJ9

Files scanned: 6. 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 46/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (hl-privateer) differs from the folder (hl-privateer-fund)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 38 steps
  • 100Execution cost. Instruction body is 2034 tokens
  • 100Progress reporting. Reports progress
  • 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 230: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.