SKILLEMALL.ai

BF personal-genomics

Analyze consumer DNA data from WeGene, 23andMe, AncestryDNA, VCF, BAM, or CRAM files. Generate evidence-based reports covering health risks, pharmacogenomics, ancestry, nutrition, exercise traits, and supplement guidance. Runs locally and keeps raw genetic data on the user's machine.

ClawHub Agent Skills author: Yanzhang v1.0.1 MIT-0 12 files body ≈ 2 444 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 48/100 · Will not run — References files that are not bundled: references/deep_risk_snps.md

AnalyzerData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
F
48/100
Will not run
References files that are not bundled: references/deep_risk_snps.md
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/deep_risk_snps.md

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: references/deep_risk_snps.md
  • 0Tools and files. 1 referenced file(s) missing: references/deep_risk_snps.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (personal-genomics) differs from the folder (personal-genomics-analysis)
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 82 steps
  • 100Failures and branches. 4 branches, has a failure section
  • 100Execution cost. Instruction body is 2444 tokens
  • 100Progress reporting. Reports progress
  • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

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
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 284: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 82 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This skill is coherent and not deceptive, but it handles highly sensitive DNA and health data while giving prescriptive medical-style recommendations and optional network/tool setup steps that need careful review.
LLM: suspicious (high) · VirusTotal: · 29 May 2026