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dsh-outcome-loop

Local-first task outcome ledger and mechanical acceptance verification plugin for DeepSeek Harness.

Terminal & TUIDeveloper ToolsSecurity & PolicySkills & WorkflowsRemote Execution
2GitHub Stars1ForksUpdated2026-09-06

Install

$ dsh plugin --profile <name> add ./dsh-outcome-loop-0.1.0-beta.8.tgz

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-outcome-loop provides a local-first, vendor-neutral task outcome ledger and acceptance framework for DeepSeek Harness (DSH). It tracks task contracts, acceptance criteria, execution evidence, user feedback, and cost to mechanically verify whether a task was truly completed without incurring extra model calls by default.

Key Capabilities

  • Defines structured task contracts with custom acceptance criteria (command exit codes, test reports, artifact checks, diagnostics)
  • Executes passive fact observation or gated active sandboxed verification runs
  • Separates mechanical verification results from user disposition (accept, reject, revise, abandon)
  • Maintains multi-axis state tracking (execution status, verification status, user disposition, label strength, data eligibility)
  • Supports two-phase export workflows with preview digests and realpath workspace confinement
  • Integrates into DSH via Cordis services and `/outcome` slash commands

Useful For

  • Mechanically verifying DSH coding session outcomes using test suites, exit codes, and build artifacts
  • Auditing and recording task completion evidence locally without leaking raw code or session prompts
  • Tracking LLM token costs alongside verifiable task completion records
  • Exporting sanitized task outcome datasets with user consent gates

Who It Fits

  • DSH developers requiring objective verification of agent tasks
  • Teams needing local-first audit trails and outcome ledgers for LLM workflows
  • Engineers evaluating task completion benchmarks and test pass rates

Documented Limitations

  • Requires the storageDomain service (available via @deepseek-ai/dsh-storage-domain or web bundles)
  • Active verifiers are strictly sandboxed and require explicit policy enablement
  • Dataset contribution mode is disabled by default and requires manual configuration

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 2 runtime, 18 development, 5 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
victorzhong0110/dsh-outcome-loop
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
d119d0d · 2026-09-22

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
2GitHub stars
Forks
1
Open issues
1
Last commit
2026-09-06
Last release
2026-08-18
For maintainers

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Listed on DSHPlugin.app