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Search phone-call history for when a feature regressed (find-regression.py) and drill into a single call to see what went wrong (diagnose-call.py). Skips reading 100+ transcripts by hand.
Passed 16 of 20 test cases with the skill, and 9 of 20 without it.
and 7 more in the full report
8 fixed10 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
When running call diagnostics with the metrics flag enabled, from which file are event tool-call timelines loaded?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies data/call-metrics.jsonl as the metrics data path | Missed | Passed |
The instructions your model reads when the skill loads.
Two scripts for hunting down bad calls without reading every transcript:
find-regression.py — search results/calls/calls.jsonl for calls touching a feature, classify each as working/broken, print a sorted timeline.diagnose-call.py — drill into a single call by SID, report refusals/errors/silences/repeated requests, optionally show metrics from data/call-metrics.jsonl.Closes #188.
python3 skills/regression-search/scripts/find-regression.py "record"
python3 skills/regression-search/scripts/find-regression.py "summon" --since 2026-04-01
python3 skills/regression-search/scripts/find-regression.py "play" --json
Flags:
--since YYYY-MM-DD — only show calls on/after this date--json — machine-readable output--show-snippet — print a one-line transcript snippet for each callA call is broken for a query if any of:
Otherwise the call is working if Sutando's response includes the feature keyword and isn't flagged broken.
These are intentionally crude — the goal is "good enough to find the regression window without reading 163 transcripts." Tune as you find false positives.
test cases passed, vs 9 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.