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Logic Probe

Design documents are not truth — code is. A claim-verification skill that checks every verifiable claim in design docs, architecture specs, and refactoring plans against the actual codebase — and escalates to executable-model verification for behavioral claims. v0.3.0.

Cross-platform — works with Claude Code, Codex CLI, Cursor, Kimi CLI, OpenCode, and ZCode. Built on the Agent Skills open standard.

What It Does

The model is always shown as a transition table and confirmed with the user before running — extraction errors are the dominant failure mode.

Installation

Marketplace install (recommended)

Add the marketplace to ~/.claude/settings.json:

{
  "extraKnownMarketplaces": {
    "logicprobe": {
      "source": { "source": "github", "repo": "AmethystLuna/logicprobe" }
    }
  }
}

Then install from CLI:

claude plugin install logicprobe@logicprobe

Manual install

git clone https://github.com/AmethystLuna/logicprobe.git ~/.claude/plugins/dev/logicprobe

Then enable in ~/.claude/settings.json:

{
  "enabledPlugins": {
    "logicprobe@dev": true
  }
}

DeepSeek Harness (dsh)

Native dsh support ships as a cordis plugin bundle at the repository root (the root package.json declares dsh.bundle):

• The skill is discovered as-is by dsh's skill-filesystem provider (Agent Skills open standard) — zero code.
• The bundle injects the claim-verification gate (1% Rule / Red Flags / proactive suggestion) into the first model step of every agent session — the dsh-native counterpart of the Claude SessionStart hook. It also registers a model-visible catalog entry (cordis_inspect), a native logicprobe_verify tool (ctx.tools), and a policy-aware logicprobe:mode context (ctx.systemPrompt).
• Together with the embedded-workbench bundle's Plan Verification Gate, this closes the claim-verification loop in dsh.

Install: see .dsh/INSTALL.md (four options, from plain skill copy to dsh plugin add).

DSH install note: the package name is scoped as @amethystluna/logicprobe. In the web profile's package.json, both the dependency key and the dsh.profile.bundles entry must use the scoped name; the old unscoped name causes the dsh loader to fail with ERR_MODULE_NOT_FOUND.

Usage

The plugin auto-injects a capability notification into the first model step. The skill activates when its Use when description matches your task:

• Design doc / plan review — "Review this design document" → claim enumeration and codebase verification
• Behavioral questions — "could this state machine deadlock", "is this retry limit safe", "check this timing for bugs" → the skill is proactively suggested (not auto-loaded) as an optional verification pass
• Refactoring plans — the pipeline compares before/after models to flag undocumented behavioral changes

The skill auto-classifies depth (LIGHTWEIGHT / STANDARD / ESCALATED) from plan features in Phase 0, and appends a ## Plan Verification summary block as the audit trail.

In DSH, prefer the native logicprobe_verify tool (see skills/logicprobe/references/dsh-model-schema.md). Python remains optional for non-DSH hosts: when available, the reusable harness at references/verification-harness.py runs the checks; when not (air-gapped machines), the guide at references/logic-verification-guide.md provides a manual verification mode.

Codex CLI

This plugin also supports OpenAI Codex CLI. Skills follow the Agent Skills standard and work identically across both platforms.

Codex install

# Add as a marketplace
codex plugin marketplace add AmethystLuna/logicprobe

# Install
codex plugin install logicprobe

Or manually:

git clone https://github.com/AmethystLuna/logicprobe.git ~/.codex/plugins/logicprobe

Skills are invoked with $logicprobe or auto-selected by Codex based on task context.

Cursor

Cursor 2.5+ has built-in plugin support.

Cursor install

# Clone to Cursor plugins directory
git clone https://github.com/AmethystLuna/logicprobe.git ~/.cursor/plugins/logicprobe

Or install from the Cursor plugin marketplace UI: /add-plugin AmethystLuna/logicprobe

Kimi CLI

Kimi CLI discovers skills from .claude/skills/ paths automatically. The .kimi-plugin/plugin.json manifest registers the plugin for Kimi's plugin manager.

Kimi install

# Via Kimi plugin manager
/plugins install https://github.com/AmethystLuna/logicprobe.git

# Or clone manually
git clone https://github.com/AmethystLuna/logicprobe.git ~/.kimi/plugins/logicprobe

Skills are invoked with /skill:logicprobe.

OpenCode

Skills are auto-discovered from .claude/skills/ and .codex/skills/ paths. Add to your opencode.json:

{
  "plugin": ["logicprobe@git+https://github.com/AmethystLuna/logicprobe.git"]
}

Or install via skop which consumes the Claude marketplace manifest. See .opencode/INSTALL.md for detailed instructions.

ZCode (Z.AI)

ZCode 3.0+ follows the Agent Skills standard. No plugin marketplace — manually copy skills to .zcode/skills/:

git clone https://github.com/AmethystLuna/logicprobe.git
cp -r logicprobe/skills/* .zcode/skills/

Skills are invoked with $logicprobe. See .zcode/INSTALL.md for details.

Requirements

• Claude Code v2.1+ / Codex CLI latest / Cursor 2.5+ / Kimi CLI latest / OpenCode latest / ZCode 3.0+
• DeepSeek Harness (dsh): dev preview — verified on mainline 2026-08-14 (gate bundle loaded and injected in-session)
• Python 3.6+ optional (only for the automated harness; manual fallback mode requires none)

Configuration

In DeepSeek Harness, the bundle registers the logicprobe_verify tool (through ctx.tools) and a policy-aware logicprobe:mode context (through ctx.systemPrompt). The bundle accepts a small configuration object:

To change it, override the row by id in your profile's cordis.patch.yml:

- insert:
    - id: logicprobe
      name: '@amethystluna/logicprobe'
      config:
        enabled: true
        interaction: follow-approval
        gateContent: |
          ...

Uninstall

• If you installed through the DSH plugin manager, remove the logicprobe plugin from the target profile using the same manager you used to install it.
• If you copied skills/* manually, delete the copied skill directories from ~/.agents/skills/ or the project .dsh/skills/.
• If you added the bundle as a cordis.patch.yml row, remove the row with id: logicprobe from the profile patch and restart DSH.

Permissions & Data

• The plugin runtime reads only the skills/ directory shipped inside the package, in order to register skills through DSH's standard filesystem skill provider.
• It injects the configured gate text into the first model step of a session.
• It does not read credentials, open network connections, or access user data outside the DSH session context.
• When the skill is actually used, the model may read project files as directed by the user, just like any other coding skill.

Troubleshooting

• Skill not visible in DSH: confirm you are on a DSH version that supports ctx.skills/Agent Skills discovery, and restart the profile after install.
• Gate not injected: check that enabled is not false and that the row id logicprobe is present in the active profile patch.
• logicprobe_verify not visible: check cordis_inspect_query status for toolRegistered: true, and confirm the DSH profile resolved the @deepseek-ai/dsh-tools peer dependency.
• Plugin manager rejects installation: make sure @deepseek-ai/* packages are declared as peerDependencies, not regular dependencies.
• After manual copy, DSH still doesn't see the skill: use the native bundle install (dsh plugin add "github:AmethystLuna/logicprobe") instead of copying.

Development

npm install
npm run typecheck
npm run build

Trigger tests are under tests/skill-triggering/; run them with:

bash tests/skill-triggering/run-all.sh

License & Security

Licensed under MIT. See LICENSE.

To report a security vulnerability, do not open a public issue. Use the private Security Advisory path or the contact method in SECURITY.md.

Related Plugins

Acknowledgments

The claim-verification methodology (logic primitives, adversarial probing, refactoring before/after comparison) and the trigger test framework (tests/skill-triggering/) follow the conventions of Superpowers by Jesse Vincent (MIT License), as adapted in the embedded-workbench plugin.