SKILLEMALL.ai

BD web3-crypto-ops

Universal Web3 & Crypto operating skill for AI agents. 12 domains, 60+ API endpoints, 5 providers: OKX DEX aggregator, Binance Web3 intelligence, Binance/Gate.io/Bitget Spot. Production-grade patterns: RPC health failover, 10-point token safety scoring, honeypot round-trip simulation, V2/V3 smart routing, direct pool turbo execution, Pump.fun/Jupiter auto-dispatch. Commercial risk gates and compliance controls built-in.

ClawHub Agent Skills author: StanPoldark v1.0.4 MIT-0 2 files body ≈ 8 944 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 44/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, consistency

IntegrationInfrastructureAI and agentsSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
97
Quality 40%
59
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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.
  2. 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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token SKILL.md:129
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Wrapped Native**: BSC `0xbb…95c` | ETH `0xC0…Cc2` | Base `0x42…006`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:236
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **V2 Routers**: BSC `0x10…24E` | ETH `0x7a…88D` | Base `0x47…D24`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:237
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **V3 Routers**: ETH `0xE5…564` | Base `0x26…481` | BSC `0x13…Dd4`
    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 body-long SKILL.md body ≈ 8944 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "always"
  • note frontmatter-key unknown frontmatter key "requiredEnv"

Process rating: all ten parameters 44/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 9 mutating operations with no state check
  • 40Consistency. Frontmatter name (web3-crypto-ops) differs from the folder (web3-crypto-ops-skill)
  • 40Execution cost. Instruction body is 8944 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
  • 100Steps. 18 steps
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 23 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
  • -239 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 423: enough signal without eating the budget
  • +4Structure: 51 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (10 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: clean
This is a disclosed crypto trading reference skill with real financial risk, but its sensitive capabilities are purpose-aligned and guarded by user-invocation and confirmation language.
LLM: benign (high) · VirusTotal: · 29 May 2026