toil-mining

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Mine caller-supplied usage history for repeated toil and emit ranked evidence. Triggers: "mine toil", "find repeated operational work".

AI & Automation 434 stars 40 forks Updated today Apache-2.0

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Quality Score: 97/100

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Skill Content

# Toil Mining — rank repeated friction Mine explicitly supplied session, shell, RTK, or CASS history without modifying the sources. The result is evidence for a caller; this skill does not file work, schedule automation, or mutate a tracker. ## Constraints - Read-only over the supplied sources, because the skill gathers evidence and must never become a mutation lane. - No work creation: it never files a tracker item, schedules automation, or names an owner, because those are caller decisions the evidence informs. - Measured, not remembered: every count, cost, and error rate is read from the supplied history, so recency and salience cannot masquerade as frequency. - Observations stay separate from recommendations, so a caller can re-weigh the ranking without inheriting an unstated conclusion. ## Procedure 1. Record the input sources, time window, filters, and query. 2. Normalize repeated human actions while excluding documented machine echoes and generated repetitions. For caller-supplied Codex JSONL, use the deterministic helper below rather than an ad hoc transcript scan. 3. Cluster equivalent actions and preserve representative evidence references. 4. Score each cluster from measured frequency and observed pain such as elapsed time, failure count, interruption, or token cost. 5. Emit a ranked report and stop. Each candidate must contain a measured count, source references, confidence in the clustering, pain evidence, and the smallest plausible automat...

Details

Author
boshu2
Repository
boshu2/agentops
Created
10 months ago
Last Updated
today
Language
Go
License
Apache-2.0

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