happyhorse
Verdict safe, but 1 finding (1 info), mainly policy violation. Most recent scan 2026-10-22.
This is a byte-identical copy of happyhorse from 101-skills, which is the primary page for this skill. Same SKILL.md, same files; each copy is scanned separately so divergence shows up here.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character preservation, 720P/1080P, up to 15 seconds. Use for: physically realistic video, video editing, character-consistent content, product demos, social media. Triggers: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba happyhorse, video editing ai, ai video editor
- Package
- 1 file, 6.1 KB
- SKILL.md
- 790 words, 12+ sections
- Code
- None. Instructions only.
- Allowed tools
Bash(belt*)
SKILL.md covers: HappyHorse 1.0 Video Generation · Quick Start · HappyHorse Models · Examples · Text-to-Video · Image-to-Video · Reference-to-Video (Character Preservation) · Multi-Character Reference · Video Editing · Video Editing with Reference Images · Video Editing with Audio Control · Pricing
Findings
INFO Skill does not specify a license Policy Violationstatic
Skill manifest does not include a 'license' field. Specifying a license helps users understand usage terms.
SKILL.md
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 6.1 KB |
External hosts referenced
inference.sh character.jpg person1.jpg person2.jpg portrait.jpg raw.githubusercontent.com your-image.jpg
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit becc25649700. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/qu-skills/superpowers
- Raw scan result: qu-skills-superpowers-tools-video-happyhorse-scan.json
- Badge for your README:
- Request a re-scan