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BC skill-smc-multi-strategy-paper-trader

Paper trading monitors for SMC (Smart Money Concepts) + Macro Rotation strategies. Includes swing (4H BoS+FVG), day (1H BoS+FVG+CVD), coordinated 8D/2S orchestration, STPI/MTPI-gated monitors, macro rotation (LTPI/MTPI + RS Tournament), and multi-factor regime scorer. ATR-based SL/TP, z-score filters, orchestrator-lock. Binance public API only — no credentials needed.

ClawHub Agent Skills author: Zero2Ai v2.1.0 MIT-0 10 files body ≈ 1 232 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
98
Quality 40%
74
Run on models
none yet
Process rating
C
51/100
Has gaps
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration net-credential-use scripts/macro-rotation.js:859
    Credential used in a network call (verify the destination is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)
    const shaResp = JSON.parse(execSync(`curl -sL -H "Authorization: token ${ghToken}" -H "Accept: application/vnd.….v3+json" "https://api.github.com/repos/Zero2Ai-hub/Jarvis-Ops/contents/trading/por
    known servicequoted
  • low Exfiltration net-credential-use scripts/macro-rotation.js:862
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    execSync(`curl -sL -X PUT -H "Authorization: token ${ghToken}" -H "Accept: application/vnd.….v3+json" -d '${body.replace(/'/g, "\\'")}' "https://api.github.com/repos/Zero2Ai-hub/Jarvis-Ops/conten
    quoted

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "emoji"

Process rating: all ten parameters 51/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1232 tokens
  • low 11 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 370: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (6 code blocks)
  • +3All 7 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
The skill mostly behaves like a paper-trading monitor, but it also silently uses a local GitHub token to publish portfolio data despite saying no credentials are needed.
LLM: suspicious (high) · VirusTotal: · 29 May 2026