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dsh-approval-llm

A DeepSeek Harness permission plugin that uses a separate reviewer model to approve, deny, or escalate tool-approval requests.

UI & ProductivityTerminal & TUIDeveloper ToolsBrowser & WebSecurity & PolicySkills & WorkflowsRemote Execution
7GitHub Stars0ForksUpdated2026-09-08

Install

$ dsh plugin --profile web add dsh-approval-llm # installs the published npm package

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-approval-llm installs as a DSH bundle and adds a model-approval permission preset. In that preset, a separate reviewer model evaluates approval requests; outside it, requests are delegated to the normal human approval flow.

Key Capabilities

  • Adds a model-approval permission mode and preset for DeepSeek Harness.
  • Routes requests through deterministic allowlist, denyList, and humanOnlyList rules before model review.
  • Uses a reviewer model to return ALLOW, DENY, or ESCALATE decisions.
  • Delegates reviewer timeouts, parse errors, and provider errors to human approval.
  • Supports a per-session consecutive-denial circuit breaker.
  • Can append user-visible model approval or denial notices to the session.
  • Ships a bundled skill for configuring the approval reviewer.

Useful For

  • Low-risk workflows where tool approvals can be reviewed by a separate model.
  • Keeping selected sensitive tools exclusively under human approval.
  • Automatically allowing or rejecting explicitly named tools through routing lists.
  • Adding an AI-proposes, user-confirms configuration flow for approval review.

Who It Fits

  • DeepSeek Harness users operating the web profile.
  • Teams configuring permission review policies for agent tool calls.
  • Developers who want a model-assisted approval layer while retaining human escalation.

Documented Limitations

  • AI reviewer decisions are a deployment policy choice, not a security guarantee, and may be affected by prompt injection.
  • Tool routing lists use exact tool-name matching only; wildcard and argument-pattern routing are not available.
  • The plugin processes one approval request per reviewer model call; batch review is not implemented.
  • It has no dedicated log-only audit event for the full review context.
  • It ships no client-side tool-card badge yet.
  • Explicit reviewer provider and model settings must be configured together; fallback routing depends on a prior session request header.

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, 13 development, 10 peer, and 0 optional dependencies.

info
Dsh Bundle Declared

package.json declares DSH bundle metadata.

info
License Declared

GitHub reports the repository license as MIT.

info
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
Letter2025/dsh-approval-llm
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
0918a5a · 2026-09-14

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
7GitHub stars
Forks
0
Open issues
1
Last commit
2026-09-08
Last release
No release detected
For maintainers

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