SKILLEMALL.ai

BD 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 · 4 scripts body ≈ 1 979 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

Family Medical Records (家庭医疗档案) | SQLite DB as single source of truth, auto-initializes on first use.

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

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
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 skill is for family medical records and mostly matches that purpose, but it stores and exports very sensitive health and identity data without protective defaults and has an export path weakness that can overwrite Markdown files outside its records folder.
    LLM: suspicious (high) · VirusTotal: · 16 Sept 2026