BD fire-paper-loader
Build a burning-paper ring loader whose GLSL flame is drawn by a Worker on an OffscreenCanvas started from the head, so a main thread blocked by the page build cannot freeze it, with a progress count, an even-paced run into the hand-off, and a clean fade to the page. Covers the ember thread and ember gradient, porous char, worker start-up, parallel shader compile with a waited 1-px warm-up draw, hand-off without a stall, reduced motion and hidden-tab behaviour. Use for a loading screen, preloader, page loader, splash, "kindling", burn loader, ember ring, burning paper hole, fire loader, or a loader that must keep moving while heavy JavaScript, three.js or shader builds hold the main thread.
Build a burning-paper ring loader whose GLSL flame is drawn by a Worker on an OffscreenCanvas started from the head, so a main thread blocked by the page…
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 4. 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 43/100
- 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
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 32 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2511 tokens
- 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 (5 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 699: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 32 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.