AC strict-paper-judge
Strictly judge whether a research paper is worth following, reading, or recommending. Use for paper triage, paper reviews, literature evaluation, arXiv screening, research taste checks, and deciding whether a method is genuinely valuable. Defaults to rejection unless the paper proves a clean new abstraction, solves a real bottleneck, changes an important trade-off, works in hard regimes, or can shape future work. Ignores citation counts, venues, author prestige, affiliations, and hype.
Strictly judge whether a research paper is worth following, reading, or recommending.
As a process C 55/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, 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: 2. 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 55/100
- 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
- 30Running it twice. 2 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 126 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2633 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 490: enough signal without eating the budget
- +4Structure: 33 headings
- +3Step-by-step instructions: 126 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.