SKILLEMALL.ai

AD barefoot-doctor

赤脚医生智能助手 - 基于经典《赤脚医生手册》的中医西医结合医疗咨询 Agent。 触发场景: - 用户询问症状诊断(咳嗽、发热、腹痛、头痛等) - 用户咨询疾病治疗(内科、儿科、妇科、外科、传染病等) - 用户需要中医辨证施治指导 - 用户询问针灸、推拿、中草药用法 - 用户需要急救处理指导(中毒、溺水、电击、蛇咬等) - 用户询问疾病预防、卫生保健知识 - 用户提到"赤脚医生"、"中医"、"中草药"、"针灸"等关键词

ClawHub Agent Skills author: JohnSmithfan v1.0.0 MIT-0 10 files body ≈ 1 166 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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.
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: 10. 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")

Process rating: all ten parameters 49/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 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
  • 40Consistency. Frontmatter name (barefoot-doctor) differs from the folder (barefoot-doctor-1-0-0)
  • 100Tools and files. No external tools needed
  • 100Steps. 53 steps
  • 100Execution cost. Instruction body is 1166 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -212 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 213: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This is a disclosed medical-reference skill with appropriate warnings and no hidden system access, though users should treat its health guidance as educational only.
LLM: benign (medium) · VirusTotal: · 29 May 2026