SKILLEMALL.ai

AC gate-exchange-futures

Gate Exchange USDT perpetual futures trading skill. Use when the user wants to trade contracts, open/close perpetual positions, or manage futures leverage. Triggers on 'open long', 'close short', 'USDT perpetual', 'futures TP/SL'.

ClawHub Agent Skills author: Gate v1.0.1 MIT-0 12 files body ≈ 5 465 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
64/100
Has gaps
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. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5465 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "updated"

Process rating: all ten parameters 64/100

  • 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
  • 30Running it twice. 8 mutating operations with no state check
  • 40Consistency. Frontmatter name (gate-exchange-futures) differs from the folder (gate-exchange-futures-v2)
  • 70Execution cost. Instruction body is 5465 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 113 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 13 branches, has a failure section
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 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: 28 headings
  • +3Step-by-step instructions: 113 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
This skill is for real Gate futures trading and needs review because it grants live trading authority while some instructions are broad or inconsistent about confirmation before financial actions.
LLM: suspicious (high) · VirusTotal: · 29 May 2026