tengu_copilot_voter_ic_drift

shallow

io.github.Hlobo-dev/tengu-firm · Verify this server

Per-voter IC drift breakdown — pinpoints WHICH of the 12 voters in the ensemble is decaying. The blended-IC drift tool tells you IF the ensemble is decaying; this tells you WHICH voter. CALL THIS when the user asks 'which voter is the problem?', 'why did the model decay?', 'should we re-weight?'. Critically distinguishes 'data_silent' (voter source offline → not the voter's fault) from 'real decay' (voter producing scores that no longer predict). Returns per-voter live IC, causal-marginal-ATE baseline, ic_ratio, drift severity, current weight, and operator-suggested weight delta (capped ±0.05 absolute per cycle).

100.0/100

1 trials · measured 8 days ago

tengu_copilot_voter_ic_drift scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Hlobo-dev/tengu-firm, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
unreachable
Category
Finance & compliance
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: tengu_copilot_voter_ic_drift
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tengu_copilot_voter_ic_drift — Vouch