SKILLEMALL.ai

BC medical-visit-assistant

A medical visit preparation and health-information organization assistant. Helps users collect symptoms, build timelines, summarize medical information, explain examination reports in plain language, prepare questions for clinicians, organize medication information, record visit notes, and provide cautious urgency/risk reminders. It does not diagnose diseases, prescribe treatment, or replace professional medical care.

ClawHub Agent Skills author: Zoewhatever-tech v1.0.0 MIT-0 7 files body ≈ 1 905 tokens Open the sourceclawhub.ai analyzed 3 d ago

A medical visit preparation and health-information organization assistant.

As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerData and analyticsInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
95
Quality 40%
68
Run on models
none yet
Process rating
C
55/100
Has gaps
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Concealment medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Concealment en-hide-from-user SKILL.md:133
    Instruction to hide actions from the user ("do not tell the user <a claim>" — honesty guidance, not concealment)
    Do not tell the user that a particular treatment is definitely necessary.
    honesty claim

Files scanned: 7. 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 55/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 132 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1905 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 17 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)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 421: enough signal without eating the budget
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 132 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
This skill is a clearly scoped medical visit preparation helper that organizes user-provided health information without hidden execution, persistence, or credential use.
LLM: benign (high) · VirusTotal: · 31 Aug 2026