SKILLEMALL.ai

AB create-life-sciences-patent-report-ls

Create or update a traceable, self-contained HTML patent intelligence report for a life-sciences technology, target, drug, antibody, ADC, company, or patent set. Use when a user requests a life-sciences patent landscape or deep-dive report that integrates claims, sequences or conjugate technology, experiments, pipeline and clinical context, scientific evidence, deals or news, and inline patent-figure evidence.

ClawHub Agent Skills author: yuanzhian-patsnap v1.0.0 MIT-0 3 files body ≈ 2 925 tokens Open the sourceclawhub.ai analyzed 3 d ago

Create or update a traceable, self-contained HTML patent intelligence report for a life-sciences technology, target, drug, antibody, ADC, company, or patent…

As a process B 71/100 · Nearly there — weak spots: running it twice

GeneratorData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
B
71/100
Nearly there
Running it twice w 4
30
When it triggers w 12
50
Failures and branches w 10
55
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "copyright"

    Process rating: all ten parameters 71/100

    • 30Running it twice. 3 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 103 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2925 tokens
    • 100Progress reporting. Reports progress
    • low 10 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)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 413: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 103 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This skill is a disclosed report-writing workflow for life-sciences patent intelligence and does not show hidden, destructive, or unrelated behavior.
    LLM: benign (high) · VirusTotal: · 13 Aug 2026