DeepSeek Harness Plugins
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oss-prompt-optimizer

A DeepSeek Harness prompt-optimization plugin that rewrites raw instructions into structured, ready-to-use prompts through the Harness LLM service.

Developer ToolsRemote Execution
11GitHub Stars0ForksUpdated2026-08-26

Install

$ dsh plugin --profile web add oss-prompt-optimizer

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
oss-prompt-optimizer is an installable DeepSeek Harness web plugin. It provides agent tools, a callable service, commands, an optional pre-send hook, and a composer button for optimizing drafts with the Harness LLM service.

Key Capabilities

  • Optimizes raw instructions into structured Role, Task, Context, and Format prompts, or configurable plain and role-task-goal formats.
  • Exposes the prompt_optimize agent tool and ctx.promptOptimizer optimize and iterate service APIs.
  • Adds a composer toolbar button that replaces a draft with an optimized prompt and can restore the original draft.
  • Supports optional prefix-triggered or all-message pre-send optimization hooks.
  • Uses configurable output language, meta-prompt language, context awareness, retries, token budgets, caching, and model routing.
  • Provides local scenario templates through /template and demand-insight output through /dream.
  • Emits prompt-optimization lifecycle events for other Cordis plugins.

Useful For

  • Turn brief user requests into more detailed prompts before sending them to an AI model.
  • Let agents optimize or iteratively revise prompts programmatically.
  • Provide an in-composer prompt-improvement action in DeepSeek Harness web.
  • Apply explicit /optimize-prefixed messages through an optional pre-send optimization workflow.
  • Generate local templates for common writing, analysis, development, and operations scenarios.

Who It Fits

  • DeepSeek Harness web users
  • Agent and plugin developers using Cordis services
  • Teams that want configurable prompt-rewriting workflows

Documented Limitations

  • Optimization relies on the Harness LLM service and its available model route.
  • The automatic pre-send hook is disabled by default.
  • Input and output processing are subject to configurable character, token, call-count, and timeout limits.
  • The result cache is in memory and is cleared when the Harness restarts.
  • Some features, such as self-refinement and retry-based validation, can require additional model calls.

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 1 runtime, 11 development, 14 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

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

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Prepare Script Detected

package.json declares a prepare lifecycle script that may run during relevant package installation workflows.

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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
seven282/oss-prompt-optimizer
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
3166fb5 · 2026-08-30

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
11GitHub stars
Forks
0
Open issues
2
Last commit
2026-08-26
Last release
No release detected
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