SKILLEMALL.ai

BD bambu-labs

Send prints to Bambu Lab printers through Bambu Connect, Bambu Lab's official app for printing from other software, or Bambu Studio. Use when the user wants to print a sliced `.gcode.3mf`, a Bambu `.gcode` or an unsliced model on a Bambu Lab printer, over Bambu Cloud or LAN. The agent opens the file in the app; the user picks the printer and starts the print there.

earthtojake/text-to-cad Agent Skills author: earthtojake MIT 3 files body ≈ 770 tokens Open the sourcegithub.com↗ analyzed 4 h ago

Send prints to Bambu Lab printers through Bambu Connect, Bambu Lab's official app for printing from other software, or Bambu Studio.

As a process D 46/100 · Unfinished process — weak spots: steps, result and completion, failures and branches

ReferenceAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
D
46/100
Unfinished process
Steps w 15
0
Result and completion w 14
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: 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 46/100

    • 0Steps. Prose only: no discrete steps
    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 770 tokens
    • 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)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +2Single-language instructions
    • +3Description length 367: enough signal without eating the budget
    • +4Structure: 7 headings
    • +4Has examples (1 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.