SKILLEMALL.ai

AC ambit-cli

Use this skill for any task involving the ambit CLI: creating or destroying private networks, deploying apps to a private network, checking network or router health, listing routers, or diagnosing connectivity problems. Trigger phrases include "create a network", "set up ambit", "deploy with ambit", "ambit create", "ambit deploy", "ambit doctor", "check router status", "destroy a network", and similar.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 2 517 tokens Open the sourcegithub.com analyzed 2 d ago

Use this skill for any task involving the ambit CLI: creating or destroying private networks, deploying apps to a private network, checking network or router…

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

IntegrationGitHubDockerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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 54/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 27 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 38 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2517 tokens
    • low The response is described with custom markup (19 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +3Description length 405: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 38 items
    • +4Has examples (17 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.