SKILLEMALL.ai

AC k10-compile-server

Use when compiling UNIHIKER K10 PlatformIO projects via the K10 Compile Server (HTTPS port 8900), opening the browser Web Serial flash page for a compiled build, downloading firmware, flashing a K10 connected to the compile server, or optionally uploading compiled firmware with local esptool. Prefer this skill over local `pio run` when the user wants LAN server compilation and client-side flashing without installing PlatformIO or esptool.

ClawHub Agent Skills author: Rockets_cn v1.0.3 MIT-0 8 files · 2 scripts body ≈ 3 012 tokens Open the sourceclawhub.ai analyzed 2 d ago

Use when compiling UNIHIKER K10 PlatformIO projects via the K10 Compile Server (HTTPS port 8900), opening the browser Web Serial flash page for a compiled…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

ProcedureDockerSoftware developmenttype 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
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 1. 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 57/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 8 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3012 tokens
    • 100Running it twice. Mutating operations check current state
    • low 11 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)
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +3Description length 442: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 8 items
    • +4Has examples (23 code blocks)
    • +4Reference files are cited in the instructions (1 of 3)
    • +3All 2 scripts are documented

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

    External checks

    ClawHub: suspicious
    The skill is purpose-aligned, but it sends projects to a compile server and downloads or flashes firmware while disabling certificate checks, so it needs user review before installation.
    LLM: suspicious (high) · 22 Jul 2026