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dsh-pentest-bugtrace

admin-security Updated 2026.09.01

Run the following command in DeepSeek Harness:

dsh plugin install elliseang0000-lang/dsh-pentest-bugtrace

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install elliseang0000-lang/dsh-pentest-bugtrace in your terminal to install the plugin; the source repository is https://github.com/elliseang0000-lang/dsh-pentest-bugtrace , and the pentest agent becomes available in your current profile immediately after installation.

About this plugin

Plugging a mature pentest engine into a dsh profile usually means hand-assembling an MCP bridge, writing a runbook, and tuning a persona prompt, each step prone to drift. dsh-pentest-bugtrace collapses that chain into a single plugin install: the result is a ready-to-use BugTraceAI pentest agent that insists on authorization first and verification before any finding is reported.

Three layers of capability stack together. At the base sit seven native MCP tools covering scan start, progress polling, finding queries, abort, report export, vulnerability explanation, and remediation suggestions; when the backend is unavailable the bridge fails open and falls back to the local REST endpoint or CLI command so the workflow never breaks. In the middle ships a bundled bugtrace-pentest runbook skill that codifies the scan workflow, focused modes, TOTP auth configuration, WAF bypass strategy, model shifting, and report formats. On top, a persona override enforces the operating rule: no scan without explicit user authorization, and every finding must be verified before it enters a report.

It is aimed at security researchers and blue-team members who already manage agents through dsh and need a repeatable pentest pipeline. If your current loop is run the CLI, paste results into a prompt, format the report by hand, this plugin turns that loop into a single start_scan call.

Use Cases

  • Boot a BugTraceAI pentest agent from any dsh profile with a single install
  • Run the full scan-to-report pipeline end to end via seven MCP tools
  • Keep testing alive by auto-falling back to the local REST endpoint or CLI

Best For

  • Security researchers already managing AI agents with dsh
  • Blue-team teams needing a repeatable pentest pipeline
  • Security engineers who want CLI workflows automated into tool calls