SKILLEMALL.ai

AB pfmea-process-fmea-drafter

Use this skill when a quality engineer, manufacturing engineer, or APQP / PPAP lead at an automotive, aerospace, or medical-device supplier needs to draft a Process FMEA aligned to the AIAG-VDA seven-step approach. Produces a DRAFT PFMEA worksheet with Action Priority ratings and an optimisation action plan for cross-functional team review.

ClawHub Agent Skills author: devasher v0.1.1 MIT-0 4 files body ≈ 4 993 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 74/100 · Nearly there — weak spots: running it twice, progress reporting

GeneratorManufacturingtype 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
74/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
When it triggers w 12
50
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 74/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 7 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Failures and branches. 9 branches
    • 70Execution cost. Instruction body is 4993 tokens
    • 100Steps. 33 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 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
    • low The response is described with custom markup (3 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 342: enough signal without eating the budget
    • +4Structure: 28 headings
    • +3Step-by-step instructions: 33 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)

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

    External checks

    ClawHub: clean
    This is a documentation-only PFMEA drafting skill that stays within its quality-engineering purpose and does not run code or transfer data.
    LLM: benign (high) · VirusTotal: · 28 May 2026