SKILLEMALL.ai

AB 8d-pattern-awareness

Turn health notes, transcripts, or check-ins into non-diagnostic 8D pattern reviews with confidence levels and safe next steps.

ClawHub Agent Skills author: Divinity Science v1.0.0 MIT-0 3 files body ≈ 3 869 tokens Open the sourceclawhub.ai analyzed 2 d ago

Turn health notes, transcripts, or check-ins into non-diagnostic 8D pattern reviews with confidence levels and safe next steps.

As a process B 65/100 · Nearly there — weak spots: inputs and preconditions, consistency, running it twice

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
65/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 3. 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 65/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 3 mutating operations with no state check
    • 40Consistency. Frontmatter name (8d-pattern-awareness) differs from the folder (8d-wellness-awareness)
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 5 branches
    • 85Steps. 201 steps, 2 vague phrases
    • 100Tools and files. No external tools needed
    • 100Execution cost. Instruction body is 3869 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 22 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (4 tags): a typed call is more reliable

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 127: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 201 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This is a text-only wellness reflection skill that structures user-provided health notes without requesting code execution, credentials, network access, or persistence.
    LLM: benign (high) · VirusTotal: · 3 Jun 2026