SKILLEMALL.ai

AC nixomatic

Run any software instantly and without altering the current system using nixomatic. Use this skill whenever you need a tool, runtime, or utility that is not currently installed — for one-shot tasks (e.g. converting a PDF to text with poppler-utils, processing images with ImageMagick, transcoding media with ffmpeg, running a linter), for setting up development environments, or for anything else that requires software you do not have. Construct a nixomatic.com URL with the required packages and run the command inside nix develop. Any package available in nixpkgs is at your disposal. For project development environments, also maintain a "Development Environment" section in the project README.md.

ClawHub Agent Skills author: Rafael Fernández López v0.1.0 MIT-0 2 files body ≈ 3 250 tokens Open the sourceclawhub.ai analyzed 10 h ago

Run any software instantly and without altering the current system using nixomatic.

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

AnalyzerDockerInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Inputs and preconditions w 11
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: 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 63/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 59 steps, 1 vague phrases
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3250 tokens
    • 100Running it twice. Mutating operations check current state
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 701: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 59 items
    • +4Has examples (12 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    The skill is a coherent Nix/Docker package runner, but it broadly directs agents to fetch remote development environments with accepted flake configuration and to mutate project README files without a clear approval gate.
    LLM: suspicious (medium) · VirusTotal: · 9 Jul 2026