AB paper-matlab-reproduction
Use this skill when the user wants to reproduce an academic paper in MATLAB from a paper file path, URL, DOI, or PDF. It extracts algorithm figures/tables into pseudocode, resolves cited operations through Google Scholar when needed, builds MATLAB simulation code, runs main scripts, compares results with the paper, and iteratively fixes mismatches up to 3 rounds. Trigger for requests like "复现这篇论文", "根据论文生成 MATLAB 仿真", "paper reproduction", "reproduce algorithm figures", or "把论文算法图表转成 MATLAB 代码".
It extracts algorithm figures/tables into pseudocode, resolves cited operations through Google Scholar when needed, builds MATLAB simulation code, runs main…
As a process B 76/100 · Nearly there — weak spots: result and completion, running it twice
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: 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 76/100
- 0Result and completion. Does not say what the result is
- 30Running it twice. 6 mutating operations with no state check
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 62 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2369 tokens
- 100Progress reporting. Reports progress
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
- -42 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 500: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 62 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.