CB ai-mediakit-videoedit
(no description)
As a process B 74/100 · Nearly there — weak spots: when it triggers, progress reporting
ProcedureMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- Add a description to the frontmatter: without it the skill never triggers.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 16. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
frontmatterSKILL.md: no YAML frontmatter block found - error
name-missingSKILL.md: frontmatter has no `name` - error
description-missingSKILL.md: no `description` — the skill can never trigger - warning
body-longSKILL.md body ≈ 6904 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 74/100
- 0When it triggers. No condition that starts the skill
- 0Progress reporting. Says nothing while it works
- 60Tools and files. Uses tools (python, node) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 6904 tokens
- 100Steps. 64 steps
- 100Result and completion. Output format and completion criterion are stated
- 100Failures and branches. 10 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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 0: 120–800 characters recommended
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +2Single-language instructions
- +4Structure: 20 headings
- +3Step-by-step instructions: 64 items
- +3Output format is stated explicitly
- +4Has examples (14 code blocks)
- +3All 3 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.
External checks
ClawHub: clean
This skill appears to be a legitimate local video-editing helper, with the main risks being normal video-processing access to files you provide and output paths you choose.
LLM: benign (high) · VirusTotal: · 29 May 2026