SKILLEMALL.ai

AC search-pubmed

Search biomedical literature on PubMed via NCBI E-Utilities. Use this skill whenever the user needs to search for scientific papers, biomedical articles, life science research, or any PubMed-indexed content. Triggers: 'search literature', 'find papers', 'PubMed', 'NCBI', 'PMID', 'biomedical', 'scientific articles', 'life science', 'organism research', 'gene/disease/drug papers'. Also use for any mention of searching literature about bacteria, plants, animals, diseases, genes, proteins, drugs, or clinical/biological topics — even if the user doesn't explicitly say 'PubMed'.

ClawHub Agent Skills author: Qiyuan v0.1.0 MIT-0 4 files body ≈ 1 073 tokens Open the sourceclawhub.ai analyzed 31 h ago

Search biomedical literature on PubMed via NCBI E-Utilities.

As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, failures and branches

ProcedureWriting and documentsPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Tools and files w 18
60
the three weakest of ten parameters · all ten

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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 63/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 16 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1073 tokens
    • 100Running it twice. No mutating operations
    • 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

    • +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 579: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 16 items
    • +3Output format is stated explicitly
    • +4Has examples (8 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: clean
    This skill is a straightforward PubMed/NCBI search helper with disclosed network use, though users should treat search terms and optional credentials as data sent to NCBI.
    LLM: benign (high) · VirusTotal: · 23 Jun 2026