AC remotion-excalidraw-tts
Generate a narrated Remotion video from an Excalidraw (.excalidraw) diagram using text-to-speech (macOS say) and render to MP4. Use when creating explainer videos with pan/zoom + focus highlights over Excalidraw diagrams, with automated voiceover generation and Remotion CLI rendering.
As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, progress reporting
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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenassets/template/remotion-project/package-lock.json:117High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…CNV+7cXy…ufL+9esx72/eLhsRdGZwaldu/h+E4t4BA==",
detector -
low Secrets in code
secret-high-entropy-tokenassets/template/remotion-project/package-lock.json:334High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…5J5+KqCu1u5/eEJA…GSb+Q==",
detector -
low Secrets in code
secret-high-entropy-tokenassets/template/remotion-project/package-lock.json:720High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…vkR+0Se+bBqS…9rf+2F4d…2ig==",
detector -
low Secrets in code
secret-high-entropy-tokenassets/template/remotion-project/package-lock.json:1156High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…A34+wG3O…IOZ+2FOCgBQ==",
detector -
low Secrets in code
secret-high-entropy-tokenassets/template/remotion-project/package-lock.json:1188High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…XNt+cq0s…xXI+01lU…d6g==",
detector
Files scanned: 21. 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 59/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 674 tokens
- 100Running it twice. No mutating operations
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
- +1No license
- +2Single-language instructions
- +3Description length 285: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (3 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.