AF excel-workflow
Complete Excel workflow with local file processing, Google Drive sync, and formula preservation. Process Excel files (.xlsx), track changes in SQLite, sync with Google Drive, and preserve formulas during updates. Use this skill when users want to upload Excel files, query data, update cells while preserving formulas, or sync with Google Drive.
Complete Excel workflow with local file processing, Google Drive sync, and formula preservation.
As a process F 43/100 · Will not run — References files that are not bundled: excel_cli.md, tracker.md
The same skill appears in 1 more place: ClawHub
How to improve
- The text references files that are not there: add them or drop the references.
- 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
- warning
missing-refreference to a missing file: excel_cli.md - warning
missing-refreference to a missing file: tracker.md
Process rating: all ten parameters 43/100
- 0Tools and files. 2 referenced file(s) missing: excel_cli.md, tracker.md
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 98 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3070 tokens
- low 15 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 345: enough signal without eating the budget
- +4Structure: 47 headings
- +3Step-by-step instructions: 98 items
- +4Has examples (32 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.