CC ai_agentic_video_editor
AI agentic video editor: send a prompt, the autonomous editor plans, uses internal tools, exports, and returns the result.
AI agentic video editor: send a prompt, the autonomous editor plans, uses internal tools, exports, and returns the result.
As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice
ProcedureYouTubeAI and agentsMedia and videotype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: AI agentic video editor: send a prompt, the autonomous editor plan… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
edit-residuethe text marks something as outdated (lines 19): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 63/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 7 mutating operations with no state check
- 40Consistency. Frontmatter name (ai_agentic_video_editor) differs from the folder (ai-agentic-video-editor)
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 100Steps. 78 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Execution cost. Instruction body is 3553 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 10 top-level sections: this looks like several domains in one skill
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)
- +2Single-language instructions
- +3Description length 122: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 78 items
- +3Output format is stated explicitly
- +4Has examples (8 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.
External checks
ClawHub: clean
This is a disclosed remote video-editing API skill whose network use and editing authority fit its stated purpose, though users should confirm edits and treat the unpinned MCP setup path carefully.
LLM: benign (high) · VirusTotal: · 2 Oct 2026