SKILLEMALL.ai

AC gold-intel-monitor

Real-time gold price monitoring and investment decision support system. Use when users ask about gold prices, gold investment analysis, market trends for precious metals, gold trading signals, or portfolio management for gold holdings. Also trigger when users mention XAU/USD, gold market outlook, Federal Reserve impact on gold, or when they want alerts for gold price movements. Helps track price fluctuations, analyze market trends, set price alerts, monitor technical indicators, and make trading decisions.

ClawHub Agent Skills author: quiteqiang v1.0.0 MIT-0 8 files body ≈ 958 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, consistency

AnalyzerOutlookInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
95
Quality 40%
83
Run on models
none yet
Process rating
C
63/100
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

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token package-lock.json:60
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…lh5/QnVs…M7y/WU9j+236K…xwI+0sEO…EXw==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:69
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…vqj+UbDfWig+DHr5…CZQ==",
      quoted
    • low Secrets in code secret-high-entropy-token package-lock.json:217
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…oyg+GOH3rYX++Kpzr…3Nk+U8XO…syg==",
      quoted
    • low Secrets in code secret-high-entropy-token package-lock.json:272
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…vAm+c/Slfz…0Nt+v8wr…WwQ==",
      quoted
    • low Secrets in code secret-high-entropy-token package-lock.json:340
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…8CM+MzKM…4lA==",
      quoted

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 63/100

    • 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
    • 40Consistency. Frontmatter name (gold-intel-monitor) differs from the folder (gold-radar)
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 21 steps
    • 100Execution cost. Instruction body is 958 tokens
    • 100Running it twice. No mutating operations

    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)
    • -43 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +3Description length 511: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 21 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: clean
    This is a coherent gold-market analysis skill with financial-advice risk, but it does not show hidden execution, credential access, persistence, or malicious behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026