list_teach_bases
shallowio.github.barneywohl/hugging-bay · Verify this server
Teach is live: local fine-tuning on a user's past decisions (Mac app 0.1.4 or hbay-teach). Lists bases, memory and templates. Use when a user wants to fine-tune a model on their own examples (kept local). Judged on their own exam; may not help. Not for one-off or written rules. Example: {}. Apple silicon, macOS 14+; memory 0.5B 8 GB, 1.7B 16 GB, 4B 32 GB (last two estimated). No hosted training.
1 trials · measured today
list_teach_bases scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.barneywohl/hugging-bay, 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 + stdio
- Credential class
- open
- 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/3a8ddfbb-d966-4052-9be7-6ceec2f27237)