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BC settlement-predictor

Real-time on-chain settlement predictor for Ethereum, Bitcoin, Arbitrum, Optimism, Base & Polygon. Live gas tiers, mempool analysis, sandwich risk detection, transaction tracking, and fee trend analysis — zero API keys required for core features.

ClawHub Agent Skills author: Ethan v1.3.1 MIT-0 5 files body ≈ 2 767 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 52/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

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
84/100
safety, quality, tests
Safety 60%
92
Quality 40%
72
Run on models
none yet
Process rating
C
52/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Secrets in code secret-high-entropy-token README.md:72
    High-entropy token-like string (may be an id, hash or a credential)
    -c ethereum -p 0x0d…852 -d buy -a 10000
  • low Secrets in code secret-high-entropy-token README.md:78
    High-entropy token-like string (may be an id, hash or a credential)
    python settlement_predictor.py verify-contract -c ethereum -a 0xdA…ec7
  • low Secrets in code secret-high-entropy-token README.md:81
    High-entropy token-like string (may be an id, hash or a credential)
    python settlement_predictor.py get-token-info -c ethereum -a 0xdA…ec7
  • low Secrets in code secret-high-entropy-token SKILL.md:90
    High-entropy token-like string (may be an id, hash or a credential)
    --pool-address 0x0d…852 \
  • low Secrets in code secret-high-entropy-token SKILL.md:105
    High-entropy token-like string (may be an id, hash or a credential)
    --address 0xdA…ec7
  • low Secrets in code secret-high-entropy-token SKILL.md:109
    High-entropy token-like string (may be an id, hash or a credential)
    --address 0xdA…ec7
  • low Secrets in code secret-high-entropy-token SKILL.md:113
    High-entropy token-like string (may be an id, hash or a credential)
    --chain ethereum --to 0x7a…88D \
  • low Secrets in code secret-high-entropy-token SKILL.md:197
    High-entropy token-like string (may be an id, hash or a credential)
    -p 0x0d…852 \

Files scanned: 5. 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 "triggers"
  • note frontmatter-key unknown frontmatter key "entry"
  • note frontmatter-key unknown frontmatter key "runtime"
  • note frontmatter-key unknown frontmatter key "python_version"
  • note frontmatter-key unknown frontmatter key "dependencies"
  • note frontmatter-key unknown frontmatter key "credentials"
  • note frontmatter-key unknown frontmatter key "persistence"

Process rating: all ten parameters 52/100

  • 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
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2767 tokens

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 246: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 6 items
  • +3Output format is stated explicitly
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This is a coherent blockchain fee and transaction analysis skill, with expected external API use and local caching that should be understood before use.
LLM: benign (high) · VirusTotal: · 29 May 2026