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* feat(cli): add --compact to issue comment list, adopt it in every agent read command (MUL-5442) The #5999 follow-up its closing note asked for, now that the workspace measurements exist: the two bounded reads the agent workflow prescribes are dominated by reader-noise metadata, and every byte of it enters the conversation history at full price once and is replayed at cache-read price by every later call of the session. --compact (JSON output only, opt-in) drops per comment: the issue_id echoed from the request path, source_task_id, updated_at when identical to created_at, null-valued fields, and empty arrays. Content, identity, and thread-summary fields pass through untouched; a real edit timestamp or non-empty array is never dropped. Measured on MUL-5442 (production data): --roots-only --summary scan 6,117B -> 4,738B (-23%); --thread --tail 30 deep read 47,359B -> 39,349B (-17%). Adoption: all nine runnable comment-list command templates in the per-turn channel (prompt.go, reply_instructions.go) now carry --compact, and the brief's Available Commands line and workflow step 3 document it (+~40B one-time, byte-stable). Command pins updated accordingly; new unit test pins the drop/keep contract and the help-contract test pins the flag's rendered usage. Known local-env failure: TestResolveWorkspaceID_AgentContextSkipsConfig fails identically on clean origin/main in this agent runtime (agent context env interference) — unrelated. Co-authored-by: multica-agent <github@multica.ai> * test(cli): wire-level --compact coverage and zero-value keep pins (MUL-5442) Review nits on #6546: TestRunIssueCommentListCompactWiring drives runIssueCommentList against an httptest server both ways — default JSON keeps every field, --compact drops the reader-noise set while zero-value scalars (reply_count: 0, content_truncated: false, folded_count: 0) survive, pinning that null pruning never generalizes to zero pruning. Same zero-value pins added to the pure-function test. Co-authored-by: multica-agent <github@multica.ai> --------- Co-authored-by: Bohan-J <bohan@devv.ai> Co-authored-by: multica-agent <github@multica.ai>