AC taste
Strictly triage research papers for real methodological novelty, hard evidence, baseline fairness, and long-term impact. Use for arXiv triage, paper review, related-work comparison, and Keep / Borderline / Ban decisions while ignoring author, institution, venue, and citation prestige.
Strictly triage research papers for real methodological novelty, hard evidence, baseline fairness, and long-term impact.
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 3. 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 51/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (taste) differs from the folder (taste-paper)
- 50Failures and branches. 0 branches, has a failure section
- 100Tools and files. No external tools needed
- 100Steps. 290 steps
- 100Execution cost. Instruction body is 2106 tokens
- low 33 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 285: enough signal without eating the budget
- +4Structure: 47 headings
- +3Step-by-step instructions: 290 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.