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CertainLogic Verifier - Hallucination Guard
by
CertainLogicAI
· GitHub ↗
· v1.0.0
· MIT-0
73
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0
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0
Active Installs
1
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Install in OpenClaw
/install certainlogic-verifier
Description
Install, configure, and use CertainLogic Verifier (hallucination‑guard) – deterministic AI verification middleware that catches hallucinations before they re...
Usage Guidance
This package appears coherent with a self‑hosted hallucination‑guard: it clones a GitHub repo, installs Python deps, and runs a local HTTP service that your agents call. Before installing: (1) inspect the repository (requirements.txt, Dockerfile, main app) and verify the GitHub project exists and is trustworthy; (2) avoid piping unknown curl output into bash — clone and review first; (3) run in an isolated environment (container or VM) and limit network access if you want an air‑gapped setup; (4) do not provide sensitive credentials unless you need the OpenRouter fallback (OPENROUTER_API_KEY) and trust that service; (5) replace default passwords (e.g., postgres changeme) and audit the audit_log.jsonl storage/rotation. If you want higher assurance, ask the maintainer for a signed release or a reproducible build and confirm the repo URL/ownership before deployment.
Capability Analysis
Type: OpenClaw Skill
Name: certainlogic-verifier
Version: 1.0.0
The skill bundle provides instructions and scripts for installing and configuring 'CertainLogic Verifier,' a self-hosted middleware for AI response validation and semantic caching. The installation script (scripts/install.sh) and SKILL.md follow standard procedures for setting up a Python-based service, including repository cloning and virtual environment management. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the requested environment variables (e.g., OPENROUTER_API_KEY) are consistent with the tool's documented functionality for LLM fallback.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description match the provided artifacts: SKILL.md, API docs, sample facts, integration guides, docker-compose, and an installer script all describe a local verifier service that validates LLM responses against a facts DB and provides caching/audit logs. Required resources and integrations (local HTTP endpoints, optional OpenRouter fallback) are coherent with that purpose.
Instruction Scope
Instructions are narrowly scoped to installing and running a local web service, populating a facts DB, and calling local endpoints. They do not request access to unrelated system files or credentials. One minor scope note: the docs advertise a one‑line installer (curl | bash) pattern in the install.sh comment and provide a script that clones and pip‑installs the repo — this is normal for self‑hosted projects but gives the operator discretion to run arbitrary code from the referenced repository, so inspect before executing.
Install Mechanism
No platform installer declared in registry (instruction‑only), but the SKILL.md and scripts instruct git‑cloning a GitHub repo and running pip install -r requirements.txt (and include docker/docker‑compose options). GitHub is a common release host, so this is expected, but installing packages from an unreviewed requirements.txt and running the repo code executes remote code — review requirements.txt, Dockerfiles, and main application code before installing in production.
Credentials
Registry metadata listed no required env vars, but the documentation references a small set of environment variables (PRODUCT_MODE, LOG_LEVEL, CACHE_DIR) and an optional OPENROUTER_API_KEY used only for cache‑miss warmup/fallback. That key is proportional to the advertised 'warm‑up using OpenRouter' feature, but it is sensitive — only provide it if you intend to enable that functionality and run the service in a trusted network. Docker examples include a placeholder DB password ('changeme') — replace defaults in production.
Persistence & Privilege
The skill does not request always:true, does not require modifying other skills, and does not declare persistent platform‑level privileges. It is a self‑hosted service the operator runs; nothing in the package auto‑enables itself across other agent configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install certainlogic-verifier - After installation, invoke the skill by name or use
/certainlogic-verifier - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial public release: self-hosted deterministic AI verification middleware with semantic caching, 98% token savings, cryptographic audit logs, and 99%+ hallucination block rate. pip-installable. Works with any LLM pipeline.
Metadata
Frequently Asked Questions
What is CertainLogic Verifier - Hallucination Guard?
Install, configure, and use CertainLogic Verifier (hallucination‑guard) – deterministic AI verification middleware that catches hallucinations before they re... It is an AI Agent Skill for Claude Code / OpenClaw, with 73 downloads so far.
How do I install CertainLogic Verifier - Hallucination Guard?
Run "/install certainlogic-verifier" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is CertainLogic Verifier - Hallucination Guard free?
Yes, CertainLogic Verifier - Hallucination Guard is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does CertainLogic Verifier - Hallucination Guard support?
CertainLogic Verifier - Hallucination Guard is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created CertainLogic Verifier - Hallucination Guard?
It is built and maintained by CertainLogicAI (@certainlogicai); the current version is v1.0.0.
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