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 rudybear · Claude Skill · ★ 208
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is renderdoc-skill safe to install? View the security audit →
renderdoc-skill A Claude Code skill that gives Claude the ability to capture, inspect, and debug GPU frames using RenderDoc. Works with Vulkan, D3D11, D3D12, and OpenGL. Demo What This Does This skill teaches Claude Code how to do GPU debugging. When you describe a rendering problem — broken shadows, wrong colors, missing objects, performance issues — Claude can: Capture GPU frames from your application using RenderDoc's Python API Inspect pipeline state at any draw call (shaders, blend, depth, rasterizer, bindings) Export and view render targets as PNGs (Claude is multimodal — it can see your framebuffer) Debug shaders line-by-line, tracing pixel/vertex/compute execution Trace pixel history to find which draw wrote a color and why Edit and replay shaders without recompiling your application Compare frames side-by-side to find regressions It works through , a 66-command CLI that wraps RenderDoc's Python API into shell commands that Claude Code can call. Prerequisites Must match the Py
| Stars | 208 |
| Forks | 16 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 70.5719325417118/100 |
| Last Updated | 2026-02-28 |
| Created | 2026-02-27 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~2k |
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renderdoc-skill is A Claude Code skill for GPU frame debugging with RenderDoc via rdc-cli. It is categorized as a Claude Skill with 208 GitHub stars.
renderdoc-skill is primarily written in Python.
You can find installation instructions and usage details in the renderdoc-skill GitHub repository at github.com/rudybear/renderdoc-skill. The project has 208 stars and 16 forks, indicating an active community.
renderdoc-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to renderdoc-skill on Agent Skills Hub include digital-marketing-pro, life-sciences, claude-ai-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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.
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