SKILLEMALL.ai

AB bean-whisperer

Generate espresso brew profiles for GaggiMate Pro on Rancilio Silvia. Use when the user provides a coffee bean (photo or name) and wants a brewing profile created, uploaded, or managed on their GaggiMate machine. Triggers on phrases like "new bean", "brew profile", "coffee profile", "espresso profile", "gaggimate", "dial in", "new coffee", "shot was sour", "shot was bitter", "too acidic", "too thin", "taste feedback", "dial it in". Also handles listing, deleting, or modifying existing profiles on the machine.

ClawHub Agent Skills author: Zuhaib Siddique v0.2.0 MIT-0 18 files body ≈ 2 163 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 69/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
B
69/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
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: 18. 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 69/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 7 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 40 steps
    • 100Failures and branches. 5 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2163 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

    • +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 13 example trigger phrases
    • +3Description length 514: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 40 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)
    • +3All 3 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: suspicious
    This skill is mostly aligned with espresso profile generation, but it deserves review because it can use Discord credentials and directly change or delete profiles on a connected machine.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026