AD remotion-best-practices
Best practices for Remotion - Video creation in React
Best practices for Remotion - Video creation in React
As a process D 40/100 · Unfinished process — weak spots: steps, result and completion, inputs and preconditions
The same skill appears in 5 more places: ClawHub, ClawHub, ClawHub, ClawHub, ClawHub
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: 40. 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 40/100
- 0Steps. Prose only: no discrete steps
- 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
- 40Consistency. Frontmatter name (remotion-best-practices) differs from the folder (remotion-best-practice)
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Execution cost. Instruction body is 2377 tokens
- 100Running it twice. No mutating operations
- low 37 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (6 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)
- +3Description length 53: 120–800 characters recommended
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 37 headings
- +4Has examples (11 code blocks)
- +4Reference files are cited in the instructions (32 of 35)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.
External checks
ClawHub: clean
This Remotion guidance skill is coherent and not malicious, but users should be mindful of its remote media and TTS API-key examples.
LLM: benign (high) · VirusTotal: · 2 Jun 2026