SKILLEMALL.ai

AB interdisciplinary-care-plan-drafter

Use this skill when a palliative care or hospice interdisciplinary team — including attending physicians, APRNs, RNs, social workers, or chaplains — needs to draft a CMS Conditions of Participation–compliant Interdisciplinary Care Plan (ICP) for a hospice or seriously ill patient. Covers goals-of-care documentation, comfort care plan, IDT role assignments, visit frequencies, and Medicare hospice benefit compliance. Produces a DRAFT for licensed clinician and IDT co-review before any care delivery or billing use.

ClawHub Agent Skills author: devasher v0.1.0 MIT-0 4 files body ≈ 3 556 tokens Open the sourceclawhub.ai analyzed 2 d ago

Use this skill when a palliative care or hospice interdisciplinary team — including attending physicians, APRNs, RNs, social workers, or chaplains — needs to…

As a process B 66/100 · Nearly there — weak spots: when it triggers, progress reporting

GeneratorWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
B
66/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Failures and branches w 10
55
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 66/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 80 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3556 tokens
    • 100Running it twice. No mutating operations
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • -5TODO / placeholder text left in the skill
    • +1No license
    • +2Single-language instructions
    • +3Description length 517: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 80 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: clean
    No scanner or telemetry evidence supplied here shows harmful behavior, but the target skill artifacts were not available in the workspace for full verification.
    LLM: benign (low) · VirusTotal: · 2 Jun 2026