BD mt5-http-trader
Call local MT5 trading HTTP API (signal → draft → confirm) with safety confirmation
As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
IntegrationData and analyticsWriting and documentstype and topics are labelled automatically from the skill text
How to improve
- 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 · 0
✓ No critical or high findings
Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Unexpected flow-seq-start at node end at line 6, column 34: metadata: { "openclaw": { "os": \["win32"], "emoji": "📈" } } ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
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
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (mt5-http-trader) differs from the folder (mt5trade)
- 50Steps. 2 steps
- 70Failures and branches. 5 branches
- 100Tools and files. No external tools needed
- 100Execution cost. Instruction body is 538 tokens
- 100Running it twice. No mutating operations
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)
- +3Description length 83: 120–800 characters recommended
- +4Structure: 0 headings, hard to scan
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
Quality base 70; lint remarks subtract, signals add up to 100. Result: 46.
External checks
ClawHub: suspicious
This skill is mostly coherent, but it gives an agent high-impact trade-confirmation authority through raw PowerShell commands with an unsafe JSON-pasting pattern.
LLM: suspicious (medium) · VirusTotal: suspicious · 28 May 2026