Aidd Rlm

Scope

• This skill is preload-only for subagents.
• Use it to keep RLM behavior consistent across agents without duplicating long instructions.
• Preload matrix v2 roles: analyst, planner, plan-reviewer, prd-reviewer, researcher, reviewer, spec-interview-writer, tasklist-refiner, validator.
• Do not preload for implementer or qa.

Canonical command paths

• Slice (shared): python3 ${CLAUDE_PLUGIN_ROOT}/skills/aidd-rlm/runtime/rlm_slice.py
• RLM runtime entrypoints:
  • python3 ${CLAUDE_PLUGIN_ROOT}/skills/aidd-rlm/runtime/rlm_nodes_build.py
  • python3 ${CLAUDE_PLUGIN_ROOT}/skills/aidd-rlm/runtime/rlm_verify.py
  • python3 ${CLAUDE_PLUGIN_ROOT}/skills/aidd-rlm/runtime/rlm_links_build.py
  • python3 ${CLAUDE_PLUGIN_ROOT}/skills/aidd-rlm/runtime/rlm_jsonl_compact.py
  • python3 ${CLAUDE_PLUGIN_ROOT}/skills/aidd-rlm/runtime/rlm_finalize.py
  • python3 ${CLAUDE_PLUGIN_ROOT}/skills/aidd-rlm/runtime/reports_pack.py

Command contracts

python3 ${CLAUDE_PLUGIN_ROOT}/skills/aidd-rlm/runtime/rlm_slice.py

• When to run: when agent needs targeted evidence from existing RLM artifacts without full JSONL scans.
• Inputs: --ticket <ticket> with one or more --query tokens.
• Outputs: compact slice payload suitable for pack-first reasoning.
• Failure mode: non-zero exit when source artifacts are missing or query context is invalid.
• Next action: generate/repair missing RLM artifacts, then rerun slice query.

python3 ${CLAUDE_PLUGIN_ROOT}/skills/aidd-rlm/runtime/rlm_finalize.py

• When to run: handoff/finalization path when rlm_status remains pending after stage-local bounded recovery.
• Inputs: --ticket <ticket> and optional bootstrap/recovery flags.
• Outputs: finalized RLM nodes/links/pack status with deterministic readiness metadata.
• Failure mode: non-zero exit on unresolved manifest/worklist integrity issues.
• Next action: fix upstream targets/worklist inconsistencies and rerun finalize.

Fallback paths

• Use canonical Python runtime entrypoints only for new prompts/integrations.

Evidence policy

• Read pack-first: aidd/reports/research/<ticket>-rlm.pack.json.
• Use slice queries for targeted context extraction.
• Avoid full JSONL reads unless pack/slice is insufficient.

Additional resources

• Runtime finalize reference: runtime/rlm_finalize.py (when: finalize/handoff behavior is unclear; why: confirm canonical finalize flags and pending/ready transitions).
• Cross-skill stage contract: ../aidd-stage-research/SKILL.md (when: researcher stage orchestration and RLM ownership boundary needs clarification; why: keep shared/runtime and stage responsibilities split).