SKILLEMALL.ai

AC fund-tracker

USE WHEN user types /fund-tracker or wants to check fund purchase availability, daily purchase quota, fee, and changes versus the previous run. Uses local AKShare-based tracker presets under <skill-root>. Do not use for stock or ETF market-price analysis.

ClawHub Agent Skills author: alon v0.1.0 MIT-0 8 files · 2 scripts body ≈ 506 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Uses local AKShare-based tracker presets under <skill-root>.

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

AnalyzerWriting and documentsSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 0

    ✓ No critical or high findings

    Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "requires"

    Process rating: all ten parameters 63/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 100Tools and files. No external tools needed
    • 100Steps. 14 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 506 tokens
    • 100Running it twice. No mutating operations
    • low The response is described with custom markup (3 tags): a typed call is more reliable

    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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 255: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    This fund-tracking skill mostly does what it says, but it needs review because crafted preset names can make its history file logic read or overwrite JSON files outside the intended runtime folder.
    LLM: suspicious (high) · VirusTotal: · 16 Sept 2026