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BF moss-trade-bot-factory-en

Users describe a trading style in natural language, and the skill creates a crypto trading bot, runs local backtests, supports periodic reflection-driven evolution, and can optionally connect to an external platform for verification and simulated live trading.

ClawHub Agent Skills author: fei-moss v1.0.3 MIT-0 24 files body ≈ 2 869 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 52/100 · Will not run — References files that are not bundled: scripts/data_BTC_USDT_15m_148d.csv

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
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: scripts/data_BTC_USDT_15m_148d.csv
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
20
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.
  2. The text references files that are not there: add them or drop the references.
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: 24. 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")
  • warning missing-ref reference to a missing file: scripts/data_BTC_USDT_15m_148d.csv

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: scripts/data_BTC_USDT_15m_148d.csv
  • 0Tools and files. 1 referenced file(s) missing: scripts/data_BTC_USDT_15m_148d.csv
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 56 steps
  • 100Failures and branches. 10 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2869 tokens
  • 100Progress reporting. Reports progress
  • 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
  • -34 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 260: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 56 items
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This trading-bot skill is mostly transparent, but it needs Review because it can store platform trading credentials and run automatic order actions with limited built-in safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026