AB math-solver
Complete mathematical problem solving workflow with OCR, LaTeX formula extraction, PNG rendering, and guided solutions. Use this skill when users want to: - Upload math problem images and automatically extract formulas as clean LaTeX - Convert LaTeX formulas to beautifully rendered PNG images with customizable themes - Get guided step-by-step problem-solving hints (Socratic method) - View detailed solutions with mathematical reasoning Handles single images, batches of images, and markdown files with embedded LaTeX. Supports multiple visual styles and provides both exploratory and detailed explanation modes.
As a process B 66/100 · Nearly there — weak spots: result and completion, when it triggers, consistency
How to improve
- 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: 14. 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 66/100
- 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
- 40Consistency. Frontmatter name (math-solver) differs from the folder (math-guide-solver)
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 70 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Execution cost. Instruction body is 1714 tokens
- 100Running it twice. No mutating operations
- low 10 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
- -42 reference files, but SKILL.md never points to them: the model will not open them
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 616: enough signal without eating the budget
- +4Structure: 37 headings
- +3Step-by-step instructions: 70 items
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.