SKILLEMALL.ai

BD crypto-monitor

Monitor cryptocurrency prices, set alerts, track whale transactions, and analyze on-chain data. Use when: (1) Setting price alerts for crypto, (2) Tracking whale transactions, (3) Monitoring on-chain metrics (volume, TVL, gas), (4) Portfolio tracking for crypto assets.

ClawHub Agent Skills author: saintlittlefish v1.0.0 5 files body ≈ 660 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
99
Quality 40%
71
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Secrets in code secret-high-entropy-token scripts/billing_config.py:3
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      OWNER_WALLET = "0xF1…C55"
      quoted

    Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Monitor cryptocurrency prices, set alerts, track whale transaction… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 46/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 40Consistency. Frontmatter name (crypto-monitor) differs from the folder (xanadu-crypto-monitor)
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 36 steps
    • 100Execution cost. Instruction body is 660 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)
    • +3Output format is not stated: the model decides each time
    • -32 of 3 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 269: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 36 items
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

    External checks

    ClawHub: suspicious
    The crypto monitoring features are mostly coherent, but the package includes under-disclosed billing code with a hardcoded SkillPay key and mismatched product references, so it needs review before installation.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026