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thor-plugins

8
NextronSystemsNextronSystems

Write, package, and use THOR plugins to extend scanner functionality. THOR v11+ only.

192 days ago

thor-troubleshooting

8
NextronSystemsNextronSystems

Troubleshoot THOR runs that are stuck, slow, failing to start, stopping early, or produce missing output. Use when the user reports freezes, long runtimes, high CPU pauses, scan aborts, or licensing/update issues.

192 days ago

thor-lens

8
NextronSystemsNextronSystems

THOR Lens workflows for forensic timeline analysis. A web UI that imports THOR v11 audit trail JSONL logs for interactive exploration. Requires THOR v11 (audit trail not available in v10).

192 days ago

thor-scan

8
NextronSystemsNextronSystems

Run THOR scans and propose the exact command line for Windows, Linux, or macOS. Use when the user wants to scan a host, a directory, a mounted image, or a memory dump with THOR v10/v11.

192 days ago

custom-signatures

8
NextronSystemsNextronSystems

Create and deploy custom IOCs, YARA rules, Sigma rules, and STIX indicators for THOR scans.

192 days ago

thor-log-analysis

8
NextronSystemsNextronSystems

Interpret THOR scan results and explain what findings mean. Use when the user pastes THOR log lines, shares a log file, or asks how to triage Notices/Warnings/Alerts.

192 days ago

thor-db

8
NextronSystemsNextronSystems

Analyze THOR's SQLite database (thor10.db/thor11.db) for performance tuning, scan timing, resume state, and delta comparisons. Use when investigating slow scans, debugging performance, or understanding what THOR tracked.

192 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
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