SKILLEMALL.ai

AC cli-design-framework

Use when designing a new CLI, reviewing an existing CLI, or resolving uncertainty about a CLI's role, user type, interaction form, statefulness, risk profile, or human-vs-machine surfaces.

ClawHub Agent Skills author: Wangnov v1.0.2 MIT-0 9 files body ≈ 3 180 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Use when designing a new CLI, reviewing an existing CLI, or resolving uncertainty about a CLI's role, user type, interaction form, statefulness, risk profile…

As a process C 60/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, running it twice

IntegrationDockerSoftware developmentWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
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: 9. 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 60/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 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
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 158 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3180 tokens
    • low 10 top-level sections: this looks like several domains in one skill

    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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 188: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 158 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This is a documentation-only CLI design/review skill whose scanner alerts come from examples and taxonomy text, not from hidden execution, credential access, or unsafe installation behavior.
    LLM: benign (high) · VirusTotal: · 11 Sept 2026