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dsh-project-anchor

Workflow Updated 2026.08.16

Run the following command in DeepSeek Harness:

dsh plugin install KKLL2025/dsh-project-anchor

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

In DeepSeek Harness, run dsh plugin install KKLL2025/dsh-project-anchor to install this plugin; the full source is available at https://github.com/KKLL2025/dsh-project-anchor .

About this plugin

A long, multi-session DSH project is hardest at cold start: a fresh session rarely knows which Goal is still active, which Milestone is being validated, or where the last Turn checkpoint stopped. dsh-project-anchor pins the project to a user-approved Goal, one active Milestone, and a durable Turn checkpoint, so each recovery starts from verified state rather than model inference.

The plugin delegates persistent state to DSH's native layer and project judgment to on-demand Skills. It remembers only consent, the stable Goal association, and a checkpoint tool exposed while the Anchor is active; it does not infer or rewrite the user's decisions. When drive-large-project loads, it selects the lightest sufficient execution intensity—fast, continuity, or high-risk/release—based on current risk and acceptance boundaries. That intensity remains temporary Skill judgment instead of a persisted plugin field, so the model cannot raise it through an Anchor state field.

It suits solo developers or small teams running multi-day projects in DSH without adding a separate planner or risk field. Cold recovery is consent-gated: only an explicit Resume answer triggers DSH's native resume, while deferral, missing state, or drift leaves the Goal, Anchor, and Milestone unchanged. The plugin is distributed as a pinned GitHub source artifact rather than an npm package, which is appropriate for users willing to review the fixed commit SHA recorded in each preview release.

Use Cases

  • Drive a multi-session project with automatic Goal and Milestone recovery on every cold start
  • Cross-module or cross-Turn work where checkpoints ensure resumability after interruption
  • High-risk release scenarios where execution intensity escalates with a full evidence trail

Best For

  • Solo developers driving multi-day, multi-session projects in DSH
  • Small teams preferring lightweight persistence over a separate planner
  • Users who want consent-gated recovery and guard against silent state changes