SKILLEMALL.ai

AC finance-report-analyzer

Analyze financial data from uploaded Excel/PDF files and generate interactive reports with sparkline trend charts. Supports output to PDF, DOCX, Markdown, and HTML. Use when: (1) User uploads Excel/CSV/PDF with financial data, (2) User asks for financial analysis or company report, (3) User wants visual reports from financial statements, (4) User mentions stock ticker + financial analysis, (5) User shares a Feishu sheet/doc link with financial data.

ClawHub Agent Skills author: Nick Qiu v1.2.0 5 files body ≈ 801 tokens Open the sourceclawhub.ai analyzed 3 d ago

Analyze financial data from uploaded Excel/PDF files and generate interactive reports with sparkline trend charts.

As a process C 52/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

AnalyzerWordPDFExcelData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
99
Quality 40%
94
Run on models
none yet
Process rating
C
52/100
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Exfiltration net-credential-use SKILL.md:42
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl -s "https://open.feishu.cn/open-apis/im/v1/messages/{message_id}" -H "Authorization: Bearer $TOKEN"
      vendor-host

    Files scanned: 5. 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 52/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 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
    • 100Steps. 9 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 801 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 453: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 9 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: suspicious
    The skill mostly generates finance reports, but it also directs use of local Feishu credentials, external file transfer, runtime package installation, and unsafe document conversion settings.
    LLM: suspicious (high) · VirusTotal: · 11 Sept 2026