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Doppleganger

Prevents duplicate subagent sessions running the same task. Saves tokens and reduces lag—no more "multiple Spidermen" doing the same work.

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Prevents duplicate subagent sessions running the same task. Saves tokens and reduces lag—no more "multiple Spidermen" doing the same work.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, SKILL.md, _meta.json, config.json, scripts/doppleganger.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

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.

Upgrade existing

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.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

Description

Prevents duplicate subagent sessions running the same task. Saves tokens and reduces lag—no more "multiple Spidermen" doing the same work.

Doppleganger

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.

Usage

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.

What it does

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).

Orchestrator

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.

Name

"Doppleganger" = the duplicate agent doing the same thing. One Spiderman is enough.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs2 Config1 Scripts
  • SKILL.md Primary doc
  • README.md Docs
  • scripts/doppleganger.py Scripts
  • _meta.json Config
  • config.json Config