Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Research Paper Quality Filter
Academic paper quality filtering agent with rigorous scoring system and comprehensive audit trail. Filters papers based on relevance and quality criteria for...
skill openclawclawhub Free
Academic paper quality filtering agent with rigorous scoring system and comprehensive audit trail. Filters papers based on relevance and quality criteria for...
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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
- README.md, SKILL.md, _meta.json
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. 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
Provenance
- Publisher
- nomorecoding
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Quality Filter Skill
This skill provides systematic quality filtering for academic papers with a rigorous scoring system and complete audit trail for research workflows.
Capabilities
Relevance Scoring: Evaluates paper relevance based on title and abstract keywords Quality Assessment: Assesses technical quality and experimental rigor Comprehensive Logging: Maintains detailed records of all filtering decisions Manual Recall Support: Preserves filtered papers for potential human review Local File Storage: Saves all results to organized directory structure
Relevance Scoring (Max 3 points)
Strong Match (+3): Title contains "music" or "song" keywords Medium Match (+2): Title contains "audio" + "generation" Weak Match (+1): Title has weak but related keywords Negative Scoring: Abstract verification can subtract points (-1 to -3)
Quality Assessment (Max 3 points)
High Quality (+3): Complete experiments, multiple baselines, strong results Medium Quality (+2): Experiments present but limited baseline comparison Low Quality (+1): Limited technical contribution or incomplete evaluation
Pass Threshold
Minimum Score: 6/10 points required to pass filtering Strong Relevance Override: Papers with clear "music/song generation" focus may pass with lower scores
Workflow Integration
This skill integrates with the broader research workflow: Input: Raw paper list from arXiv search Processing: Applies scoring system to each paper Output: Categorizes papers as "passed" or "filtered" Audit Trail: Maintains complete record for manual recall
Local File Storage
Main Log: research/{domain}/quality_filtering/quality_filtering_log.md Append Mode: All results appended to single comprehensive file Directory Structure: Automatically created if missing
Log Structure
Each filtering session includes: Session Header: Date, domain, search parameters Scoring Standards: Detailed criteria used Individual Paper Results: Title, authors, score breakdown, decision Summary Statistics: Pass/fail counts, score distribution Manual Recall Section: List of filtered papers available for human review
Usage Examples
# Filter music generation papers quality_filter --domain "music_generation" --papers "[paper_list]" --date "2026-02-28" # Filter with custom threshold quality_filter --domain "speech_audio" --threshold 5 --papers "[paper_list]"
Files Created
research/{domain}/quality_filtering/quality_filtering_log.md (append mode) Directory structure automatically created if missing
Audit Trail Requirements
All filtering decisions must include: Complete score breakdown (relevance + quality components) Clear pass/fail rationale Preservation of filtered papers for manual recall Timestamp and session context
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Config
- SKILL.md
- README.md
- _meta.json