SKILLEMALL.ai

AD hyperliquid-review

Journal and review Hyperliquid orders, fills, positions, funding, fees, incidents, and trading process from the exchange record. Use when an action or trade has completed, for a daily or weekly review, or when the user asks what execution cost, outcome, or control failure occurred. Read-only; not for market research, planning, or execution.

ClawHub Agent Skills author: Galleon Labs v0.4.0 MIT-0 11 files · 1 script body ≈ 932 tokens Open the sourceclawhub.ai↗ analyzed 11 d ago

Journal and review Hyperliquid orders, fills, positions, funding, fees, incidents, and trading process from the exchange record.

As a process D 48/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerInfrastructurePersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

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 · 0

    ✓ No critical or high findings

    Files scanned: 11. 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 48/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (hyperliquid-review) differs from the folder (galleon-hyperliquid-review)
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 100Steps. 13 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 932 tokens

    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
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 342: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 13 items
    • +4Reference files are cited in the instructions (5 of 5)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This skill is a read-only post-trade review aid for Hyperliquid activity, with sensitive financial-record access that is disclosed and scoped to completed reviews.
    LLM: benign (high) · VirusTotal: · 9 Oct 2026