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DeepSeek Harness PluginIndexed

ai-context-doctor

Scans repositories for context noise and provides DeepSeek Harness integration to manage ignore rules for AI coding agents.

UI & ProductivityDeveloper ToolsSkills & Workflows
1GitHub Stars0ForksUpdated2026-10-30

Install

$ dsh plugin --profile web add dsh-aiignore

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
AI Context Doctor (housing the dsh-aiignore DeepSeek Harness plugin) identifies noisy files such as build outputs, lockfiles, logs, and massive data dumps before they waste AI context tokens. In DeepSeek Harness, it provides automated workspace noise alerts and a dedicated sidebar UI panel to inspect repository health, preview token protection, and update .aiignore rules.

Key Capabilities

  • Scans directory trees to detect AI context bloat, lockfiles, logs, and generated artifacts
  • Calculates a multi-dimensional AI Context Health score from 0 to 100
  • Generates recommended .aiignore patterns and supports safe non-destructive appending via CLI
  • Integrates with DeepSeek Harness as the dsh-aiignore host plugin with a sidebar UI and agent alerts
  • Provides machine-readable JSON reports for CI/CD context health gates

Useful For

  • Auditing repository files before opening coding agent sessions in DeepSeek Harness
  • Preventing AI agents from wasting context window on lockfiles and build directories
  • Automating .aiignore creation and management across development repositories
  • Running context quality checks in CI/CD pipelines to fail builds when context health degrades

Who It Fits

  • DeepSeek Harness developers using autonomous coding agents
  • Software engineers managing repository token budgets
  • DevOps and CI maintainers monitoring repository hygiene

Documented Limitations

  • Relies on file name and size heuristics rather than parsing code or calculating exact token counts
  • Does not perform exhaustive secret scanning; credentials inside standard code files are not detected
  • The scanner ignores standard folders such as .git and node_modules by default
  • Requires Node.js 18 or newer and DeepSeek Harness 0.2.0 or newer for the host plugin

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 0 runtime, 0 development, 0 peer, and 0 optional dependencies.

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License Declared

GitHub reports the repository license as Apache-2.0.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
WJDdidi-1/ai-context-doctor
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
c29f42d · 2026-10-30

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
1GitHub stars
Forks
0
Open issues
1
Last commit
2026-10-30
Last release
2026-10-30
For maintainers

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Listed on DSHPlugin.app