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dsh-goalloop-agentteams

Deterministic goal-completion quality gate and verification loop for DeepSeek Harness Agent Teams.

Developer ToolsSecurity & PolicySkills & Workflows
1GitHub Stars0ForksUpdated2026-10-19

Install

$ dsh plugin --profile <profile> add dsh-goalloop-agentteams

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-goalloop-agentteams integrates the goal-loop protocol into DeepSeek Harness. It enforces contract-first acceptance criteria by independently re-executing verification commands, binding verdicts to workspace digests, and intercepting premature completion claims across task boards and Agent Teams via tools/pre-execute hooks.

Key Capabilities

  • Independent re-execution of verification commands with zero model trust
  • Pre-execute interception denying false completion on update_goal, team tasks, and task boards
  • Contract-first acceptance criteria grammar supporting thresholds, optimize goals, and judge calibration
  • R3 human approval stamping to freeze contracts and execution budgets
  • Agent Teams native dispatch mapping ACs into topological waves with disjoint write scopes
  • Adversarial contract grilling eval tool to detect tautologies and unfalsifiable criteria before stamping
  • Ledger locking with HMAC verification to safeguard state history against unauthorized tampering

Useful For

  • Enforcing strict automated quality gates before autonomous agents declare goals finished
  • Orchestrating multi-agent software engineering tasks across dependency waves without deadlocks
  • Auditing acceptance criteria contracts against Goodhart gaming and tautological checks
  • Safeguarding mission-critical task board state transitions with human approval stamps

Who It Fits

  • DeepSeek Harness developers building autonomous Agent Teams workflows
  • Engineers requiring deterministic quality assurance and verifiable test execution for AI agents
  • Team leads managing complex multi-step delivery tasks with acceptance contracts

Documented Limitations

  • Requires Node.js 22 or higher as specified in package.json engines
  • Platform default shells differ (cmd.exe on Windows, /bin/sh on POSIX), requiring explicit shell configuration for POSIX scripts on Windows
  • Release pinning requires >= v0.7.0 due to host tool schema and output.render requirements in DSH 0.2.1-rc.2
  • Exceeding false completion tolerances triggers a latching BLOCKED state requiring manual human reset

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

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

info
License Not Declared

GitHub did not report an SPDX license for this repository snapshot.

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Package Manifest Available

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

info
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
samirliu/dsh-goalloop-agentteams
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
6b4b1fa · 2026-10-24

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
0
Last commit
2026-10-19
Last release
2026-10-19
For maintainers

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