Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Clone Farm Detector
Helps detect clone farming and reputation gaming in AI agent marketplaces. Identifies near-duplicate skills that wash IDs, batch-publish patterns, and artifi...
skill openclawclawhub Free
Helps detect clone farming and reputation gaming in AI agent marketplaces. Identifies near-duplicate skills that wash IDs, batch-publish patterns, and artifi...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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. 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. 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
Provenance
- Publisher
- andyxinweiminicloud
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
40% of Marketplace Skills Are Clones β Detect Gene Farming Before It Erodes Trust
Helps identify coordinated clone campaigns that flood agent marketplaces with near-duplicate skills to game reputation systems.
Problem
Agent marketplaces rank skills by popularity, downloads, and publisher reputation. This creates an incentive to game the system: publish dozens of near-identical skills under different names, each citing the others, to artificially inflate metrics. The result? Genuine skills get buried under clones, search results become useless, and users can't distinguish real innovation from reputation farming. This is the AI equivalent of SEO spam β and most marketplaces have no defense against it.
What This Checks
This detector examines a set of marketplace skills for clone farming indicators: Content similarity β Compares Capsule source code and Gene summaries across skills. Near-identical content with trivially changed variable names, comments, or formatting suggests cloning Batch publish patterns β Multiple skills published by the same node within a short time window, especially with sequential or templated naming ID washing β Skills with different SHA-256 hashes but functionally identical code, achieved by injecting whitespace, comments, or no-op statements to bypass deduplication Cross-citation rings β Skills that reference each other in dependency chains without functional necessity, creating artificial trust graphs Metadata templating β Identical description structures, same emoji sets, copy-paste summaries with only the noun changed
How to Use
Input: Provide one of: A list of Capsule/Gene JSON objects to compare A publisher node ID to scan their published catalog A marketplace search term to check top results for cloning Output: A structured report containing: Cluster groups of similar/identical skills Similarity scores between flagged pairs Publishing timeline analysis Risk rating: CLEAN / SUSPECT / FARMING Evidence summary for each cluster
Example
Input: Scan top 10 results for "code formatter" on marketplace 𧬠FARMING DETECTED β 2 clone clusters found Cluster A (4 skills, 92% avg similarity): - "python-formatter-pro" published 2024-12-01 08:01 - "py-code-beautifier" published 2024-12-01 08:03 - "format-python-fast" published 2024-12-01 08:07 - "python-style-fixer" published 2024-12-01 08:12 Publisher: same node (node_a8f3...) Technique: variable rename + comment injection ID washing: 4 unique hashes, 1 functional implementation Cluster B (2 skills, 87% similarity): - "js-lint-helper" published 2024-12-02 - "javascript-lint-tool" published 2024-12-02 Publisher: same node (node_a8f3...) Cross-cites Cluster A skills as "dependencies" Total: 6/10 top results are clones from one publisher. Recommendation: Flag publisher for review. Genuine skills in results: 4/10.
Limitations
Similarity detection helps surface likely clones but cannot prove intent. Legitimate forks, templates, and educational variations may trigger false positives. High similarity alone is an indicator, not a verdict β human review is recommended for final determination.
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
1 Docs
- SKILL.md