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dsh-darwin

Dual-plugin self-evolution architecture for DeepSeek Harness featuring session log mining, tiered skill synthesis, eval gating, and rollback.

Developer ToolsSkills & WorkflowsRemote Execution
1GitHub Stars0ForksUpdated2026-10-19

Install

$ dsh plugin --profile <你的profile> add dsh-darwin-sentinel

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
dsh-darwin is a dual-plugin self-evolution framework designed for DeepSeek Harness (Cordis runtime). It pairs a diagnostic detector (`dsh-darwin-sentinel`) with a candidate repair factory (`dsh-darwin-forge`) linked via a shared protocol. The sentinel plugin scans session logs for failure patterns (retry loops, tool-error clusters, turn interruptions, token waste) and generates structured problem tickets. The forge plugin consumes tickets to synthesize tiered configurations or Markdown skills, applies evaluation gates, promotes verified additions directly to `.dsh/skills/` with hot-reloading, and preserves snapshot states for deterministic rollback.

Key Capabilities

  • Mechanical session log mining with fingerprint deduplication and severity scoring (`darwin_scan`, `darwin_report`)
  • Tiered synthesis of configuration patches and Markdown skills (`darwin_forge`)
  • Gated evaluation with hold-out canary checks and cost fitness enforcement
  • Hot-reloading skill promotion into project-level `.dsh/skills/` (`darwin_promote`)
  • Snapshot-based deterministic rollback (`darwin_rollback`)

Useful For

  • Diagnosing agent failure modes and repetitive tool errors across DeepSeek Harness sessions
  • Generating and iteratively improving agent skills based on historical execution tickets
  • Automating continuous self-improvement workflows with deterministic safety rollbacks

Who It Fits

  • DeepSeek Harness plugin developers
  • AI agent engineers managing multi-turn DSH workflows
  • Teams evaluating autonomous agent self-refinement loops

Documented Limitations

  • Code-level synthesis (Creator mode) is disabled by default for sandbox security
  • Evaluation gate A/B fork trials require upstream DSH dynamic Cordis runner and session fork support

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, 4 development, 0 peer, and 0 optional dependencies.

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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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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
que3sui/dsh-darwin
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin Bundle
Source checked
ecd03cb · 2026-10-25

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
7
Last commit
2026-10-19
Last release
2026-09-02
For maintainers

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