SKILLEMALL.ai

AC alphagbm-macro-view

Track the macro variables that actually move your portfolio — VIX, US10Y, DXY, gold, oil, etc. — with auto-computed impact on user's holdings. Each tracked indicator returns current value, change, and AI-generated impact analysis linked to the user's profiles. Use when: adding a macro indicator, pulling current macro dashboard, asking how VIX affects the portfolio. Triggers on: "track VIX", "current 10-year yield", "how's the dollar doing", "add gold to my macro watch", "remove US10Y", "宏观指标", "美债利率", "美元指数", "VIX恐慌指数".

ClawHub Agent Skills author: Clement Gu v1.0.0 MIT-0 2 files body ≈ 1 247 tokens Open the sourceclawhub.ai analyzed 26 h ago

Track the macro variables that actually move your portfolio — VIX, US10Y, DXY, gold, oil, etc.

As a process C 63/100 · Has gaps — weak spots: failures and branches, running it twice, progress reporting

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
C
63/100
Has gaps
Failures and branches w 10
0
Progress reporting w 2
0
Running it twice w 4
30
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 · 0

    ✓ No critical or high findings

    Files scanned: 0. 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

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 16 steps, 2 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1247 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +3Description length 525: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 16 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: suspicious
    This skill is coherent, but it can use an external API to retrieve portfolio-linked financial analysis under broad triggers.
    LLM: suspicious (medium) · VirusTotal: · 23 Jul 2026