SKILLEMALL.ai

BD component-tests

Use when writing, changing, debugging, or reviewing Storybook-based Playwright component tests. That covers specs in packages/app/component-tests or packages/session-ui/component-tests, `*.fixture.tsx` files there or beside source (such as packages/gui-extensions/src/browser/panel.fixture.tsx), the stories they mount, and the shared harness in packages/storybook (playwright/config.ts, playwright/story.ts, .storybook/main.ts, preview.tsx, mocks). Also use when a component test is flaky, passed on retry, or fails with "Execution context was destroyed", "Failed to fetch dynamically imported module", or `#storybook-root` hidden. Covers mount args, source modules imported by URL, Vite dependency pre-bundling and reloads, cold vs warm Storybook, mobile drawers, geometry, and checks before pushing.

sst/opencode Agent Skills author: sst MIT 1 file body ≈ 4 505 tokens Open the sourcegithub.com↗ analyzed 3 d ago

That covers specs in packages/app/component-tests or packages/session-ui/component-tests, .fixture.tsx files there or beside source (such as…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerPlaywrightSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: component-tests (anomalyco/opencode)

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 49/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 11 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 70Execution cost. Instruction body is 4505 tokens
    • 100Steps. 64 steps
    • 100Consistency. Name and required fields are in place
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low The response is described with custom markup (9 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)
    • +3Description length 802: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 64 items
    • +4Has examples (1 code blocks)

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