SKILLEMALL.ai

AC multi-env-isolator

Generate isolated dev/test/prod environments for uvicorn/FastAPI Python web projects with frontend (Vue/React) support. Creates separate config files, startup scripts (backend + frontend), data directories, Playwright test integration, and documentation with one command. Use when: (1) Setting up a new FastAPI/uvicorn + Vue/React project that needs dev/test/prod separation (2) An existing project has only one environment and needs isolation for parallel work (3) A multi-agent team needs developers (Valina) and testers (Choco) working simultaneously without conflicts (4) Someone asks "how to separate development and production" or "set up environment isolation" (5) A project suffers from dev changes breaking production, or testers interfering with developers (6) You need Playwright E2E test integration with isolated test environment NOT for: Node.js-only, Go, Docker-based, or non-Python projects (backend startup scripts are uvicorn-specific).

ClawHub Agent Skills author: RM-Huang v2.0.0 MIT-0 5 files body ≈ 1 888 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorPlaywrightDockerSoftware developmenttype 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
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 5. 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 52/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 100Steps. 14 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1888 tokens
    • 100Running it twice. Mutating operations check current state
    • 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

    • +3Description length 954: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

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

    External checks

    ClawHub: clean
    This skill openly scaffolds local dev/test/prod project files; the main risk is that users must replace placeholder secrets and review generated scripts before real production use.
    LLM: benign (high) · VirusTotal: · 29 May 2026