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@tabilo/ai-code-review-dsh

v1.0.4

Published

DeepSeek Harness (dsh) plugin for @tabilo/ai-code-review: registers the ai_code_review tool (review | context) that reuses the Node.js engine to collect diffs, run tests/coverage, do impact analysis, and feed pack skills to the model.

Readme

@tabilo/ai-code-review-dsh

A DeepSeek Harness (dsh) plugin that brings the @tabilo/ai-code-review workflow to dsh. It registers one tool, ai_code_review (action review | context), which reuses the same dependency-free Node.js engine (diff collection, pack routing, test/coverage gate, impact analysis) as the Copilot version — but feeds the data to the DeepSeek model instead of a Copilot skill.

The model reads the collected context + pack review checklists, performs the review, and writes .ai-code-review/out/review-report.md itself (via the dsh fs tool).

Works on both dsh web and dsh headless.

Install

dsh plugin --profile web add @tabilo/ai-code-review-dsh

The plugin auto-mounts via its dsh.bundle.patch declaration (no manual cordis.patch.yml editing needed). Restart dsh web afterwards.

Local development (before publishing): from the repo root, run npm install so @tabilo/ai-code-review resolves, then point dsh at the workspace. The plugin also falls back to the repo-root src/core engine if the package is not installed.

Use

In the chat, ask the model to review, e.g.:

"Review this branch with the ai_code_review tool"

The model calls ai_code_review with:

| param | type | description | | ------------ | ------ | ------------------------------------------------------------------ | | action | string | review (full data) or context (collect diff only) | | repoRoot | string | Absolute path to the git repository root | | target | string | Base branch to diff against (default develop) | | source | string | Source branch (default current HEAD) | | scope | string | branch | staged | working | commit:<a>..<b> | | pack | string | Force a pack: java | react | vue | angular | | reportLang | string | en | vi (hint for the model) |

What the tool returns (object)

  • contextFile — path to .ai-code-review/out/context.md (read it via the fs tool)
  • changedFiles, added, removed, source, baseRef
  • config — report language, default target, active packs
  • packs[] — per pack: priority, routing, skills, and gate (test/coverage raw output + thresholds)
  • impactedFiles — files touched by the change (grep fallback; use GitNexus/CodeGraph MCP if available)
  • packSkillsText — the full pack review checklists for the model to apply

The model reviews the diff against the checklists, applies the C0/C1 coverage gate, and writes .ai-code-review/out/review-report.md.

Develop

This package ships plain ESM (lib/index.js) so no build step is required for consumers.

npm publish        # publish to npm, then others can `dsh plugin add` it

License

MIT