AC playcanvas
Comprehensive guide for PlayCanvas, the web-first 3D graphics platform including the Engine API, Editor, React wrapper, and Web Components. Use when building 3D web applications, games, or interactive experiences with PlayCanvas.
Comprehensive guide for PlayCanvas, the web-first 3D graphics platform including the Engine API, Editor, React wrapper, and Web Components.
As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches
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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Secrets in code
secret-high-entropy-tokenreferences/optimization.md:86High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| **WebGL 2** | The [`EXT_…gl2`](https://web3…com/webgl2/extensions/EXT_…gl2) extension must be supported. Check [WebGL Report](https://webglreport
table -
low Risky intent
intent-offensive-securityreferences/security.md:3Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)PlayCanvas is part of Snap Inc. and security vulnerabilities affecting PlayCanvas services are handled through Snap's HackerOne bug bounty program.
quoted
Files scanned: 32. 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 58/100
- 0Result and completion. Does not say what the result is
- 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. 2 mutating operations with no state check
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 801 tokens
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
- -430 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 229: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.