SKILLEMALL.ai

AB ephemeral-eng

Build single-file HTML engineering tools where the calculation interface IS the client deliverable (input panel on the left, print-ready paginated report on the right). Use this skill whenever the user asks for an engineering calculator, calc tool, letter generator, calculation report, load check, beam/column/footing/header/fastener/anchor/wind/guardrail/canopy check, evaluation letter, or any "input-to-deliverable" tool — even if they don't say "ephemeral-eng" or "HTML". Also use it when revising or extending any existing single-file tool that has a form-panel / report-page structure.

ClawHub Agent Skills author: Oasis Engineering v1.0.0 MIT-0 2 files body ≈ 1 848 tokens Open the sourceclawhub.ai analyzed 2 d ago

Build single-file HTML engineering tools where the calculation interface IS the client deliverable (input panel on the left, print-ready paginated report on…

As a process B 72/100 · Nearly there — weak spots: result and completion, failures and branches, running it twice

GeneratorData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
B
72/100
Nearly there
Failures and branches w 10
0
Running it twice w 4
30
Result and completion w 14
40
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: 2. 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 72/100

    • 0Failures and branches. Linear process with no failure handling
    • 30Running it twice. 5 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 21 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1848 tokens
    • 100Progress reporting. Reports progress
    • 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

    • +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 2 example trigger phrases
    • +3Description length 592: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 21 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This skill is a disclosed engineering-tool authoring workflow with strong verification warnings and no executable install or hidden behavior.
    LLM: benign (high) · VirusTotal: · 17 Jul 2026