AD scholar-search
Search academic papers and scholarly sources through the AISA scholar endpoint. Use when: the user asks for papers, authors, recent research, citations, or year-filtered academic evidence.
As a process D 48/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
For the model run — optional
- 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
- note
frontmatter-keyunknown frontmatter key "primaryEnv" - note
frontmatter-keyunknown frontmatter key "requires"
Process rating: all ten parameters 48/100
- 0Result and completion. Does not say what the result is
- 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. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (scholar-search) differs from the folder (scholar-search-aisa)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 6 steps
- 100When it triggers. States when to use and when not to
- 100Execution cost. Instruction body is 220 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)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 188: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 6 items
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.
External checks
ClawHub: suspicious
This skill is advertised as academic paper search, but its bundled client also exposes broader web search, URL extraction, and AI research features that are not clearly disclosed.
LLM: suspicious (high) · VirusTotal: · 29 May 2026