Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Evolution State Analyzer
Analyzes the evolution memory graph for stagnation patterns, recurring failures, and success plateaus. Generates actionable insights to guide future evolutio...
skill openclawclawhub Free
Analyzes the evolution memory graph for stagnation patterns, recurring failures, and success plateaus. Generates actionable insights to guide future evolutio...
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, index.js, package.json, scripts/test_analyze.js
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
- wanng-ide
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Evolution State Analyzer
This skill provides meta-analysis of the evolution process itself by examining the memory_graph.jsonl file.
Capabilities
Stagnation Detection: Identifies repetitive cycles without improvement. Gene Efficacy Analysis: Tracks which genes yield the highest success rates. Failure Cluster Analysis: Groups failure reasons to pinpoint systemic issues. Trend Reporting: Visualizes evolution score trends over time.
Usage
const analyzer = require('./index'); const insights = await analyzer.analyzeState(); console.log(JSON.stringify(insights, null, 2));
Example Output
{ "total_cycles": 120, "success_rate": 0.75, "stagnation_detected": true, "top_genes": [ { "id": "gene_repair_v2", "success_rate": 0.95 }, { "id": "gene_innovate_v1", "success_rate": 0.40 } ], "recommendations": [ "Switch to INNOVATE intent (stagnation streak: 5)", "Deprecate gene_innovate_v1 (success rate < 0.5)" ] }
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 Scripts1 Docs1 Config
- SKILL.md
- index.js
- scripts/test_analyze.js
- package.json