SKILLEMALL.ai

AF barefoot-doctor

Barefoot Doctor AI Assistant — Evidence-based integrative medicine advisor based on the classic "Barefoot Doctor's Manual" (赤脚医生手册, 1969, Shanghai Science & Technology Press). Trigger scenarios: - Symptom diagnosis (cough, fever, headache, abdominal pain) - Disease treatment (internal medicine, pediatrics, gynecology, surgery, infectious diseases) - TCM syndrome differentiation and treatment guidance - Acupuncture and tuina instructions - Chinese herbal medicine usage - Emergency first aid (poisoning, drowning, electric shock, snake bite) - Disease prevention and health care knowledge - Keywords: "barefoot doctor", "traditional Chinese medicine", "TCM", "herbal medicine", "acupuncture"

ClawHub Agent Skills author: JohnSmithfan v2.0.0 MIT-0 5 files body ≈ 1 119 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 52/100 · Will not run — References files that are not bundled: references/diagnosis-flow.md, references/disease-catalog.md, references/tcm-diagnosis.md

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: references/diagnosis-flow.md, references/disease-catalog.md, references/tcm-diagnosis.md
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 0

✓ No critical or high findings

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/diagnosis-flow.md
  • warning missing-ref reference to a missing file: references/disease-catalog.md
  • warning missing-ref reference to a missing file: references/tcm-diagnosis.md
  • warning missing-ref reference to a missing file: references/acupoints.md
  • warning missing-ref reference to a missing file: references/herbs.md
  • warning missing-ref reference to a missing file: references/emergency.md

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: references/diagnosis-flow.md, references/disease-catalog.md, references/tcm-diagnosis.md
  • 0Tools and files. 6 referenced file(s) missing: references/diagnosis-flow.md, references/disease-catalog.md, references/tcm-diagnosis.md
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1119 tokens
  • 100Running it twice. No mutating operations

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

  • +4Description does not say when NOT to use the skill (false activations)
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 695: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 15 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
This markdown-only medical skill is not malware, but it needs review because it gives high-stakes diagnosis, treatment, emergency, pediatric, herbal, and acupuncture guidance with unsafe scoping gaps.
LLM: suspicious (high) · VirusTotal: · 29 May 2026