AB gifhorse
Search video dialogue and create reaction GIFs with timed subtitles. Perfect for creating meme-worthy clips from movies and TV shows.
As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting
GeneratorGitHubMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 68/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 15 mutating operations with no state check
- 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. 45 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2125 tokens
- low 16 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)
- +1No license
- +2Single-language instructions
- +3Description length 133: enough signal without eating the budget
- +4Structure: 35 headings
- +3Step-by-step instructions: 45 items
- +3Output format is stated explicitly
- +4Has examples (20 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.
External checks
ClawHub: suspicious
GifHorse’s stated purpose is coherent, but its install path runs mutable third-party code from an unpinned GitHub branch before the reviewed package can verify what users are installing.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026