SKILLEMALL.ai

AB excel-export

Generate polished .xlsx workbooks from structured JSON — multiple sheets, frozen headers, filters, typed columns, formulas, totals, and French/Morocco formatting defaults. Use when the user needs database results or context-derived data exported as an Excel file.

ClawHub Agent Skills author: 0xVespertine v1.1.0 MIT-0 4 files · 1 script body ≈ 2 046 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

Generate polished .xlsx workbooks from structured JSON — multiple sheets, frozen headers, filters, typed columns, formulas, totals, and French/Morocco…

As a process B 76/100 · Nearly there — weak spots: result and completion, progress reporting

GeneratorExcelData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
B
76/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Failures and branches w 10
55
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

    • note edit-residue the text marks something as outdated (lines 114): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 76/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 55Failures and branches. 1 branches
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 24 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 2046 tokens
    • 100Running it twice. No mutating operations
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 11 top-level sections: this looks like several domains in one skill

    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 263: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 24 items
    • +4Has examples (6 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: 95.

    External checks

    ClawHub: clean
    This skill coherently creates Excel workbooks from JSON, with disclosed formula and locale behavior, but users should only generate formula-containing workbooks from trusted specs.
    LLM: benign (high) · VirusTotal: benign · 16 Sept 2026