Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Prevents duplicate subagent sessions running the same task. Saves tokens and reduces lag—no more "multiple Spidermen" doing the same work.
Prevents duplicate subagent sessions running the same task. Saves tokens and reduces lag—no more "multiple Spidermen" doing the same work.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Prevents duplicate subagent sessions running the same task. Saves tokens and reduces lag—no more "multiple Spidermen" doing the same work.
One task, one agent. Doppleganger stops duplicate subagent sessions from running the same task. That prevents token overspend, UI lag, and the chaos of five identical "task completed" announcements.
The orchestrator already runs a duplicate check before sessions_spawn (see delegate rule); Doppleganger is the named skill for that behavior. User says: "prevent duplicate agents", "stop dopplegangers", "why are so many agents doing the same thing?" You want a single entry point to check whether a task is already running before spawning. python3 /Users/ghost/.openclaw/workspace/skills/doppleganger/scripts/doppleganger.py check "<task string>" [--json] python3 /Users/ghost/.openclaw/workspace/skills/doppleganger/scripts/doppleganger.py guard --task "<task>" [--json] JSON output: {"duplicate": false, "doppleganger_ok": true} → safe to spawn. {"duplicate": true, "reason": "running", "sessionId": "...", "key": "...", "doppleganger_ok": true} → do not spawn; reply that the task is already running. Exit codes: 0 = no duplicate (or check ok). 1 = error. 2 = duplicate detected.
check / guard — Given a task string (the same one you would pass to sessions_spawn), returns whether that task is already running. If yes, the orchestrator must not spawn again. Uses the subagent-tracker's check-duplicate under the hood (one source of truth for runs/sessions).
The delegate rule runs a duplicate check before every sessions_spawn; that check can be implemented by calling Doppleganger (or subagent-tracker check-duplicate) with the router's task string. If duplicate: true, do not call sessions_spawn.
"Doppleganger" = the duplicate agent doing the same thing. One Spiderman is enough.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.