SKILLEMALL.ai
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BB trading-universe

Use for deterministic ICT market scans, validated intraday order-plan tickets, structure reads, macro bias boards, the local Trading Universe dashboard, and automatic candle-replayed trade tracking. Runs the bundled engine for all technical prices and zones; use fresh web research only for fundamentals. Tracks pending orders through fills, targets, breakeven, stops, ambiguity, MFE and MAE without placing trades.

ClawHub Agent Skills author: IllimitedEnterprise v1.8.3 MIT-0 40 files · 1 script body ≈ 6 784 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Use for deterministic ICT market scans, validated intraday order-plan tickets, structure reads, macro bias boards, the local Trading Universe dashboard, and…

As a process B 66/100 · Nearly there — weak spots: inputs and preconditions, running it twice

AnalyzerConfluenceData and analyticstype 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
86/100
safety, quality, tests
Safety 60%
94
Quality 40%
75
Run on models
none yet
Process rating
B
66/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Tools and files w 18
60
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Dangerous commands cmd-execpolicy-bypass README.md:68
    Runs PowerShell with execution policy bypassed
    powershell -ExecutionPolicy Bypass -File scripts\inst…ps1
  • low Dangerous commands cmd-execpolicy-bypass SKILL.md:256
    Runs PowerShell with execution policy bypassed (quoted — discussed, not commanded)
    **Desktop app:** when the user explicitly asks for Desktop/Start Menu shortcuts, run `powershell -ExecutionPolicy Bypass -File "<skill-dir>/scripts/inst…ps1"`. It resolves `node.exe`, gener
    quoted

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6784 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 66/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 18 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 6784 tokens
  • 85Steps. 74 steps, 1 vague phrases
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (21 tags): a typed call is more reliable

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)
  • -2localhost URLs: will not work for another user
  • -236 emoji in the instructions: noise for the model
  • -312 of 15 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 415: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 74 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This is a disclosed local trading-analysis dashboard with market-data calls, local trade logs, alerts, and optional reasoning-provider integrations, with no evidence of hidden trade execution or deceptive exfiltration.
LLM: benign (high) · VirusTotal: · 17 Jul 2026