SKILLEMALL.ai

CC 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 · 16 scripts body ≈ 2 869 tokens Open the sourceclawhub.ai↗ analyzed 9 d ago

Users describe a trading style in natural language, and the skill creates a crypto trading bot, runs local backtests, supports periodic reflection-driven…

As a process C 52/100 · Has gaps — References files that are not bundled: scripts/data_BTC_USDT_15m_148d.csv

IntegrationSoftware developmentData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
C
52/100
Has gaps
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
  • note edit-residue the text marks something as outdated (lines 91): check that old rules are not kept next to new ones — the full check reads the text for contradictions

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. 5 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
The skill is coherent for crypto bot backtesting and optional simulated trading, but it needs Review because it persists trading credentials and can send authenticated platform requests with weak endpoint and credential-handling safeguards.
LLM: suspicious (high) · VirusTotal: · 12 Sept 2026