Repo-Explainer — security grade SAFE, quality 59/100

Security audit verdict: SAFE · quality 59/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by stuinfla · Agent Tool · ★ 60

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is Repo-Explainer safe to install? View the security audit →

About Repo-Explainer

explainmyrepo Point it at any GitHub repo. Get back an explainer a stranger — and their AI — actually understands. 🌐 The website — there is only ONE → explainmyrepo.isovision.ai ← This is the live site: the concept, the full process, and all six example explainers on one page. Heads up: the old was an earlier draft that told people to run a command () that was never published. It now redirects here. If you ever land on anything other than explainmyrepo.isovision.ai, you're on the wrong (old) page. Complex repos deserve clear introductions. This builds them, then refuses to ship until they're good. ↑ a real one — generated end to end from ruvnet/agenticow, no human design pass. Open it live. The problem it solves Most repositories are opaque. Open one cold and you can't quickly tell what it is, why it matters, how it's built, or how to use it. The README is usually a wall of text written by som

ai-toolsdeveloper-toolsexplainerknowledge-basenotebooklmragreuven-cohenruvnetvector-database

Quick Facts

Stars60
Forks14
LanguageJavaScript
CategoryAgent Tool
Quality Score59.0186951764858/100
Open Issues6
Last Updated2026-09-20
Created2026-06-19
Platformsnode
Est. Tokens~18k

Compatible Skills

These tools work well together with Repo-Explainer for enhanced workflows:

  • notebooklm-mcp-secure — semantic(0.17)+complementary+rare_topics+similar_pop (45%)
  • DocMason — semantic(0.30)+complementary+similar_pop (45%)
  • notebooklm-skill — semantic(0.16)+complementary+rare_topics+similar_pop (45%)

Repo-Explainer alternative? Top 6 similar tools

Looking for a Repo-Explainer alternative? If you're comparing Repo-Explainer with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • deepcontext-mcp by Wildcard-Official · ⭐ 278

    DeepContext is an MCP server that adds symbol-aware semantic search to Claude Code, Codex CLI, and other agent

  • CodeRAG by Neverdecel · ⭐ 211

    CodeRAG is an AI-powered tool for real-time codebase querying and augmentation using OpenAI and vector search.

  • lucid-memory by JasonDocton · ⭐ 158

    Memory for AI that works like yours—local, instant, persistent. 13x faster than Pinecone, 5x leaner than RAG.

  • bedrock-kb-rag-workshop by aws-samples · ⭐ 65

    Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

  • claudepro-directory by JSONbored · ⭐ 217

    HeyClaude (formerly Claude Pro Directory) is a searchable collection of pre-built AI skills, agents, MCP serve

  • mcp-fusion by vinkius-labs · ⭐ 204

    MCP Fusion - The framework for AI-native MCP servers.

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Frequently Asked Questions

What is Repo-Explainer?

Repo-Explainer is Repo Explainer — turn any GitHub repo into a visual explainer page. Pipeline + 5 live examples.. It is categorized as a Agent Tool with 60 GitHub stars.

What programming language is Repo-Explainer written in?

Repo-Explainer is primarily written in JavaScript. It covers topics such as ai-tools, developer-tools, explainer.

How do I install or use Repo-Explainer?

You can find installation instructions and usage details in the Repo-Explainer GitHub repository at github.com/stuinfla/Repo-Explainer. The project has 60 stars and 14 forks, indicating an active community.

What are the best alternatives to Repo-Explainer?

The top alternatives to Repo-Explainer on Agent Skills Hub include deepcontext-mcp, CodeRAG, lucid-memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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