SKILLEMALL.ai

BD Trade Safety Vetter

Pre-trade safety checks: position size limits, leverage validation, consecutive loss locks, volatility gates, exchange balance verification. Drop-in risk guard for any trading skill.

ClawHub Agent Skills author: sg345662365-oss v1.0.2 MIT-0 2 files body ≈ 261 tokens Open the sourceclawhub.ai analyzed 2 d ago

Pre-trade safety checks: position size limits, leverage validation, consecutive loss locks, volatility gates, exchange balance verification.

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
99
Quality 40%
56
Run on models
none yet
Process rating
D
45/100
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

  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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token SKILL.md:37
    High-entropy token-like string (may be an id, hash or a credential)
    \n\n---\n### 💎 Pro Version \nFull trading execution + custom risk + priority support.\nSend USDT (TRC20) to: TUq4…NND\nContact @sgreadybot on Telegram to activate.\n

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "emoji"
  • note frontmatter-key unknown frontmatter key "color"

Process rating: all ten parameters 45/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (Trade Safety Vetter) differs from the folder (trade-safety-vetter)
  • 75Steps. 3 steps
  • 100Tools and files. No external tools needed
  • 100Execution cost. Instruction body is 261 tokens
  • 100Running it twice. No mutating operations
  • 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
  • +4No input/output examples
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 182: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 3 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: suspicious
This is an instruction-only trading risk skill, but it asks to influence trade execution and promotes an off-platform paid trading service, so users should review it carefully before use.
LLM: suspicious (medium) · 7 Jun 2026