Mine loop run history into regression cases and harness change proposals.
npx skills add https://github.com/SollanSystems/loop-engineer --skill loop-flywheel
Please help me install this Agent Skill. Skill: loop-flywheel Source: https://github.com/SollanSystems/loop-engineer/tree/main/skills/loop-flywheel Command: npx skills add https://github.com/SollanSystems/loop-engineer --skill loop-flywheel
This Skill turns a loop's own run history into measurable improvement so repeated failures become regression cases, weak harnesses become proposals for change, and context pressure does not erase lessons learned.
Ask the assistant to analyze the loop-flywheel skill's run history, create regression cases from confirmed failures, and compact the loop's memory into short-term and long-term summaries.
High-intent search queries and answers about installing and using this skill.
To convert recurring agent loop failures into regression test cases, mine RUNLOG entries, traces, and receipts to recover what happened across iterations, then transform distinct real failures into durable eval cases so the same bug cannot silently return.
To compact agent loop memory under context pressure, separate short-term session summaries from long-term lessons so the loop can resume cleanly and continue improving over time without erasing learned history.
To stop a coding agent from claiming success too early, mine false completions from run history, add them as regression cases, and propose harness changes that tighten the loop's proof-of-done process based on evidence.
Evidence-based metric recomputation for agent workflows works by clustering recurring failure modes from accumulated run history and proposing stopping-rule or rubric changes when the evidence shows loop health scores drifting.
Yes, you can propose harness changes for agent loops without silent edits by mining failure modes and recomputing loop health metrics to generate evidence-based proposals for stopping-rule or rubric adjustments.
You need to mine run history for loop engineering improvements when failures recur, scores drift, or context must be compacted, turning accumulated RUNLOG entries, traces, and repair records into durable regression protections.
heymishyRecord a metric signal and evidence in pipeline-state.json.
AndurilCodeRuns eval-driven tests to validate agent context changes against behavioral assertions.
xdkpDiagnose broken OMC or Claude Code workflows using trace and state evidence.
sayasaya8039Configure autonomous agent loops with quality gates and failure recovery.
