explain_evidence_cohort
shallowcc.roboparts/roboparts · Verify this server
【研究层口径】查询「最小可行同质集」取证判据：补哪一条数据最值、为什么单条声明的边际收益为 0、以及应按缺口画像批量取证的顺序。适合回答「取证该从哪开始」「补机械声明率到 30% 有用吗」「K=2 是什么意思」。只读、免鉴权。
100.0/100
1 trials · measured 16 days ago
explain_evidence_cohort scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against cc.roboparts/roboparts, measured 6 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
- open
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-06 | 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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