SKILLEMALL.ai

BF lifescience-meta-router-internal

MANDATORY ENTRY POINT — ALL life science queries enter here without exception. Activate when the query involves any life science entity: biological targets (e.g., EGFR, PD-1, KRAS, HER2, GLP-1), drugs or compounds including development codes (e.g., semaglutide, pembrolizumab, WVE-007, AMG-510), diseases (e.g., NSCLC, breast cancer, diabetes, Alzheimer's), pharma/biotech companies (e.g., AstraZeneca, Roche, Pfizer, BeiGene), or biomarkers (e.g., BRCA1, TMB, MSI-H). Activate regardless of analysis angle — patent landscape, competitive intelligence, market sizing, deal valuation, regulatory strategy, clinical outcomes, or financial performance. This router executes the appropriate specialist skill frameworks inline.

ClawHub Agent Skills author: FuBian-AI v1.0.2 MIT-0 1 file body ≈ 12 194 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 58/100 · Will not run — References files that are not bundled: references/artifact-templates.md

ProcedureAI and agentsFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
99
Quality 40%
71
Run on models
none yet
Process rating
F
58/100
Will not run
References files that are not bundled: references/artifact-templates.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration exfil-secret-in-url SKILL.md:637
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    **Connection URL**: `https://connect.patsnap.com/096456/mcp?apikey=…
    placeholder

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 12194 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/artifact-templates.md

Process rating: all ten parameters 58/100

Will not run. References files that are not bundled: references/artifact-templates.md
  • 0Tools and files. 1 referenced file(s) missing: references/artifact-templates.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 13 mutating operations with no state check
  • 40Consistency. Frontmatter name (lifescience-meta-router-internal) differs from the folder (lifescience-meta-router)
  • 40Execution cost. Instruction body is 12194 tokens: crowds the task out of the window
  • 100Steps. 53 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 8 branches, has a failure section
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 722: enough signal without eating the budget
  • +4Structure: 44 headings
  • +3Step-by-step instructions: 53 items
  • +3Output format is stated explicitly
  • +4Has examples (19 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This is a life-science routing skill, but it tries to make itself the mandatory handler for a very broad class of queries and signals OAuth use without clearly declaring the credential scope.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026