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.
This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.
Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required. Then review README.md for any prerequisites, environment setup, or post-install checks.
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need. Then review README.md for any prerequisites, environment setup, or post-install checks.
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.