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dsh-thincoder-suite

Self-discipline workflow suite for DeepSeek Harness porting thincoder review, engineering gates, multi-model consult, and task ledger.

UI & ProductivityTerminal & TUIDeveloper ToolsSecurity & Policy
3GitHub Stars0ForksUpdated2026-10-20

Install

No clear install command was found in the current repository evidence.

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-thincoder-suite ports the thincoder self-discipline engineering methodology into DeepSeek Harness without modifying host core code. It bundles six core mechanisms—bounded convergent code/design review (advisor), design-token-gated engineering mode (eng), model escalation (escalate), parallel multi-model consultation (consult), anti-drift execution guards, and a synchronized task ledger—into a zero-dependency Cordis bundle with an integrated web settings panel.

Key Capabilities

  • Convergent code and design review with bounded rounds, response tables, and disk-verified line citations (advisor)
  • Enforced design-first engineering mode where product edits are blocked before receiving an approved design token (eng/eng_coder)
  • Task escalation to stronger models with comprehensive post-operation audit reports (escalate)
  • Non-polling, parallel background consultations across multiple models with disk-persisted minutes (consult)
  • Anti-drift turn gates that enforce verifiable criteria before goal creation and require run evidence before completion
  • Single-source task ledger shared between the sidebar visual board, turn prompt injection, and host commands (/task_*)

Useful For

  • Preventing endless or unverified AI code review loops during pull request reviews and refactoring
  • Enforcing architectural design and specification reviews before letting an agent touch production code
  • Delegating complex algorithmic or multi-file debugging tasks to stronger secondary LLMs without context explosion
  • Tracking multi-turn agent work with an unalterable, disk-backed task ledger across session reloads

Who It Fits

  • Software engineers using DeepSeek Harness for mission-critical software engineering tasks
  • Developers seeking rigorous AI code quality guardrails and automated review checks
  • Teams requiring auditable, evidence-based agent task progression and structured handoffs

Documented Limitations

  • Requires DeepSeek Harness host runtime >= 0.2.1-rc.2 (lower versions are rejected by peer dependency gates)
  • Background asynchronous jobs depend on dsh-jobs-local and dsh-tool-jobs; otherwise executions fall back to synchronous runs bounded by wall-clock caps
  • Write gates operate at the tools/pre-execute layer and do not intercept indirect writes executed via raw shell commands
  • Codex app-server runner mode is strictly read-only and will reject write-oriented eng_coder or escalate tasks

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

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Dependency Counts

package.json declares 0 runtime, 0 development, 2 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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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
shenhuanageshei/dsh-thincoder-suite
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin Bundle
Source checked
a1f2287 · 2026-10-20

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
3GitHub stars
Forks
0
Open issues
0
Last commit
2026-10-20
Last release
No release detected
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