replaylisted

# Replay Replay is an inspection over frozen state. It does not execute new experiments and must not modify live graph nodes, ratings, judgments, or preregistrations. ## Workflow 1. If the user did not provide a snapshot id, call `mcp__memory__list_snapshots(limit=20)`. Show label, timestamp, and counts; do not create a new snapshot merely to replay the past. 2. Phrase exactly one counterfactual in a falsifiable sentence, such as `Approve hyp_07 instead of pausing it`. 3. Call `mcp__memory__replay_counterfactual(snapshot_id, counterfactual)` and retain the returned `branch_id`. 4. Inspect only the recorded snapshot and branch metadata. Do not call model scripts, `seed_perturb`, or the sequestered-data query tool. 5. If the analysis suggests a live action, report it as a recommendation. The user may later call `resume_branch`; replay itself never flips status. ## Output shape Return: ```text snapshot_id: <snap_...> branch_id: <replay_...> counterfactual: <one sentence> live_graph_mutated: false evidence: <recorded facts used> finding: <what changes under the counterfactual> recommendation: <none or explicit user action> limitations: <what replay cannot establish without a new experiment> ``` For several what-ifs, create one replay branch per counterfactual and keep each output independent. Use `mcp__memory__list_replay_branches(limit=20)` to audit existing branches before adding duplicates. ## Completion criteria Replay is complete when the source sn