direction_review_batch
shallowcom.koalcheck/koalcheck · Verify this server
OPERATOR-ONLY. Serve a batch of analyst tweets whose per-ticker direction needs accurate classification, plus the rubric to classify them by. Candidates = tweets with ≥1 cashtag that have NOT yet been LLM-reviewed. Each item carries the tweet text (fenced as data), its cashtags, and the current heuristic_guess (so you correct rather than start blind). Follow the returned `rubric`: for EVERY cashtag return one verdict (is_call, direction, confidence, conviction), then call `direction_review_submit`. Repeat until `remaining`=0. Read-only and $0 — the classification is done by THIS Claude on the operator's subscription, not by any paid API.
1 trials · measured 8 days ago
direction_review_batch scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.koalcheck/koalcheck, measured 25 Aug 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
- open
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 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.
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[](https://vouch.tools/tools/461b0fb6-e729-42fb-aec5-c8d2cce1f5f4)