SKILLEMALL.ai

AC omni

The all-in-one master skill — unified interface for every capability domain. Use when the user asks for anything that spans multiple domains or when no single specialized skill clearly applies. Covers: automation & workflows, coding & development, data analysis & databases, web scraping & browsing, finance & accounting, security & hardening, image/video/audio generation & editing, music creation, email & messaging, calendar & scheduling, document processing (PDF/DOCX/PPTX), translation, writing & content creation, project management, deployment & DevOps, IoT & smart home, communication platforms, knowledge management, CLI tools, system administration, API design & testing, and general problem-solving. Triggers on: "do everything", "all in one", "omni", "master skill", "mega skill", or any task where routing to the right domain matters.

ClawHub Agent Skills author: Eternal0404 v1.0.0 MIT-0 39 files · 1 script body ≈ 2 564 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

ProcedureWordPowerPointInfrastructureWriting and documentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
C
57/100
Has gaps
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: 39. 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
    • 30Running it twice. 6 mutating operations with no state check
    • 40Consistency. Frontmatter name (omni) differs from the folder (omni-master)
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 73 steps
    • 100Failures and branches. 3 branches, has a failure section
    • 100Execution cost. Instruction body is 2564 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)
    • +3Description length 847: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 73 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (36 of 36)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: suspicious
    This all-purpose skill is not clearly malicious, but it gives agents very broad autonomy and persistent memory behavior that users should review before installing.
    LLM: suspicious (high) · VirusTotal: benign · 28 May 2026