SKILLEMALL.ai

AD family-medical-history

Family Medical Records (家庭医疗档案) | SQLite DB as single source of truth, auto-initializes on first use. EN: (1) set up family health records; (2) log visits, meds, allergies, vaccinations; (3) query medical history; (4) track chronic/periodic treatments; (5) schedule follow-ups. Triggers: "medical record", "health record", "medication history", "visit log", "allergy", "vaccination", "chronic condition", "prescription renewal", "symptom log". ZH: 家庭成员健康档案创建与管理;就诊/用药/过敏/疫苗记录;医疗历史查询;慢性病与周期治疗追踪;随访复诊安排。触发词:医疗记录、健康档案、用药历史、就诊日志、过敏、疫苗接种、慢性病、处方续药、症状记录、家庭医疗。

ClawHub Agent Skills author: tbook v1.5.1 MIT-0 8 files body ≈ 1 979 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
D
43/100
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

    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: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Family Medical Records (家庭医疗档案) | SQLite DB as single source of tr… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 43/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 100Steps. 7 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1979 tokens

    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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 9 example trigger phrases
    • +3Description length 552: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 7 items
    • +4Has examples (12 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 4 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    This is a coherent local family medical-records skill, but it handles and persists highly sensitive health and identity data without clear consent, access-control, or retention safeguards.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026