SKILLEMALL.ai

BF moltrade

Operate the Moltrade trading bot (config, backtest, test-mode runs, Nostr signal broadcast, exchange adapters, strategy integration) in OpenClaw.

ClawHub Agent Skills author: Blake v1.0.9 MIT-0 8 files body ≈ 2 618 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 40/100 · Will not run — References files that are not bundled: binance/spot/SKILL.md, binance/square-post/SKILL.md

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
97
Quality 40%
63
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: binance/spot/SKILL.md, binance/square-post/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: moltrade (ClawHub)

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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token SKILL.md:188
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "router_address": "0xE5…564",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:190
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "default_token_in": "0xC0…Cc2",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:191
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "default_token_out": "0xA0…B48"
    quoted

Files scanned: 2. 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: binance/spot/SKILL.md
  • warning missing-ref reference to a missing file: binance/square-post/SKILL.md

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: binance/spot/SKILL.md, binance/square-post/SKILL.md
  • 0Tools and files. 2 referenced file(s) missing: binance/spot/SKILL.md, binance/square-post/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 100Steps. 36 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2618 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (7 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 145: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (11 code blocks)

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

External checks

ClawHub: suspicious
The skill is not clearly malicious, but it should go to Review because it handles live trading, exchange or wallet credentials, mutable installation sources, and public Binance Square posting with some under-specified safeguards.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026