glitch_slit_scan
shallowtech.kyanitelabs/kinocut · Verify this server
Apply slit-scan temporal displacement effect (requires Node.js + GPU). Each row/column of the output is sampled from a different past frame, creating a time-smeared effect reminiscent of slit-scan photography. Args: input_path: Absolute path to input video. output_path: Absolute path for output video. depth: Number of past frames to use (1-120). Default 30. direction: 0=top-bottom, 1=bottom-top, 2=left-right, 3=right-left. Default 0. Returns: Dict with success status and output_path.
1 trials · measured today
glitch_slit_scan scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against tech.kyanitelabs/kinocut, measured 20 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-20 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
Embed this score
Available for every tool, scored or not — not a verification perk. Always links back to this page.
[](https://vouch.tools/tools/343cf4c0-b392-4895-9df9-123603439717)