Agents & sessionsSkill
EverOS
EverMind-AI
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Structure check pending
agent-memoryagentic-aiaichats
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Agents & sessionsSkill
challenge-project-methodology
hlxstc-create/challenge-project-methodology
challenge-project-methodology is a tool for DeepSeek Harness. A battle-tested methodology for high-difficulty AI-agent projects: grading gates, evidence-driven verification & self-evolution. OpenClaw & DSH versions.
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- 76 days
REVIEW SCORECARD
Review Scorecard
7.5/10Average
License compliance9.0
Engineering quality5.4
Content completeness7.0
Repository scale7.0
Maintenance activity8.0
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
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Open repositoryPROJECT TOPICS
Project topics
VALIDATION LADDER
Validation progress
01Store discoveryPassed
02ClassificationPassed
03Structure checkPending
04Sandbox validationPending
FAQ
Frequently Asked Questions
What is challenge-project-methodology used for?
A battle-tested methodology for high-difficulty AI-agent projects: grading gates, evidence-driven verification & self-evolution. OpenClaw & DSH versions.
What license does challenge-project-methodology use?
challenge-project-methodology is distributed under the MIT license.
Is challenge-project-methodology compatible with DeepSeek Harness?
challenge-project-methodology is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
Classification evidence
Project typeSkill
Feature categoryAgents & sessions
Rule confidenceHigh
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:skill、methodology、prompt-engineering。
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