SKILLEMALL.ai

AB ot-evaluation-report

Use this skill when a licensed Occupational Therapist (OT), OTA under supervision, or documentation specialist needs to draft an initial OT evaluation report for an outpatient, inpatient, school-based, or home-health client. Covers occupational profile, ADL/IADL performance analysis, standardized assessment scores, clinical impressions, and SMART goals aligned to AOTA OTPF-4 and CMS documentation requirements. Produces a DRAFT report for licensed OT sign-off before any payer submission or medical record entry.

ClawHub Agent Skills author: devasher v0.1.0 MIT-0 4 files body ≈ 2 717 tokens Open the sourceclawhub.ai analyzed 24 h ago

Use this skill when a licensed Occupational Therapist (OT), OTA under supervision, or documentation specialist needs to draft an initial OT evaluation report…

As a process B 78/100 · Nearly there — weak spots: progress reporting

AnalyzerData and analyticsWriting 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%
83
Run on models
none yet
Process rating
B
78/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
50
Result and completion w 14
60
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 78/100

    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Failures and branches. 4 branches
    • 85Steps. 55 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2717 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
    • low 12 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)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 515: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 55 items
    • +3Output format is stated explicitly

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: suspicious
    The bundle is mostly coherent ClawHub maintainer tooling, but it includes high-impact maintainer actions and a review helper that defaults to running nested Codex with full local access.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026