SKILLEMALL.ai
GitHub ↗ RU Sign in

AC finance-report-pro

個人理財報告生成專業版。AI 分析個人財務狀況，提供理財建議， 生成專業 PDF 報告。包含收入支出分析、資產負債評估、理財目標規劃、 被動收入建議。引流到付費產品（FB Ads / 電商）。 Use when: (1) 需要分析個人財務狀況， (2) 需要生成理財報告， (3) 需要理財建議， (4) 需要資產負債評估， (5) 需要被動收入規劃， (6) 需要引流到付費產品。 Triggers: "理財報告", "財務分析", "個人理財", "finance report", "financial analysis", "理財建議", "資產負債", "被動收入規劃"。

ClawHub Agent Skills author: chungvic v1.0.1 MIT-0 4 files body ≈ 607 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerData and analyticsInfrastructuretype 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
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
53/100
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: 4. 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 53/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 26 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 607 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 291: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This skill locally generates a personal finance report and includes disclosed promotional recommendations, with no evidence of hidden data collection, persistence, or unsafe execution.
    LLM: benign (high) · VirusTotal: · 29 May 2026