BF scholar-search
Search academic papers and authors via the Scholar API (scholar.x49.ai). Use for finding papers by topic, keyword, or natural-language query, discovering authors, getting search suggestions, looking up paper metadata, checking journal rankings (JCR/CCF/FQBJCR), or filtering by open access, year range, paper type, or venue. Covers all academic disciplines. Triggers when user mentions academic papers, scholarly articles, research papers, literature search, journal articles, author lookup, citation counts, open access, or wants to search scholarly databases.
As a process F 39/100 · Will not run — References files that are not bundled: landing_page_url
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.
Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.
How to improve
- The text references files that are not there: add them or drop the references.
- 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 · 2
✓ No critical or high findings
Medium and low: 2
-
medium Broad scope
meta-broad-allowed-toolsSKILL.md:1Broad tool permissions pre-approved: Bashallowed-tools: Bash
-
low Secrets in code
secret-high-entropy-tokenSKILL.md:34High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)2. Built-in free key: `psk_…CO4`
quoted
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: landing_page_url - note
frontmatter-keyunknown frontmatter key "effort"
Process rating: all ten parameters 39/100
- 0Tools and files. 1 referenced file(s) missing: landing_page_url
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (scholar-search) differs from the folder (scholar-search-x49)
- 55Failures and branches. 1 branches
- 70When it triggers. States when to use, but not when not to
- 100Steps. 38 steps
- 100Execution cost. Instruction body is 2169 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
- +1No license
- +2Single-language instructions
- +3Description length 561: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (10 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.