SKILLEMALL.ai

AC cold-process-soap-making-basics

Use when store-bought soap becomes unreliable, expensive, or you need fully customizable, skin-safe bars made from local fats, oils, and lye for daily hygiene, laundry, or trade goods. Agent calculates precise saponification ratios, safety dilutions, and batch recipes from your exact ingredient list; tracks curing timelines with automated reminders and logs; generates quality-test checklists and barter templates. Human performs every physical step — mixing to trace, pouring, unmolding, cutting, and curing — rebuilding tactile self-reliance.

ClawHub Agent Skills author: HowToUseHumans v1.0.0 MIT-0 2 files body ≈ 1 912 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 30Running it twice. 1 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 54 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1912 tokens
    • 100Progress reporting. Reports progress

    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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 546: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 54 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This is a disclosed cold-process soap-making guide with real lye safety risks, but no hidden code, credential access, or unrelated agent behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026