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Uplo Insurance
by
RooJenkins
· GitHub ↗
· v1.0.0
· MIT-0
187
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install uplo-insurance
Description
AI-powered insurance knowledge management. Search policy documents, claims records, underwriting guidelines, and actuarial data with structured extraction.
Usage Guidance
This skill appears to do what it says (search your insurance knowledge base), but there are two issues to check before installing: (1) metadata mismatch — the registry shows no required config but skill.json and README require your UPLO/AgentDocs URL and an API key; verify and supply those intentionally, and (2) the skill will run `npx @agentdocs1/mcp-server` (pulling runtime code from npm). Before you proceed: verify the npm package (@agentdocs1/mcp-server) is an official/trusted package (review its npm page, source repo, and publisher), ensure the API key you provide has least-privilege access and appropriate audit logging, confirm the AGENTDOCS_URL points to your internal/approved UPLO instance (not a public or attacker-controlled endpoint), and consider restricting network access or running the MCP server in an isolated environment. If you cannot verify the npm package or do not want remote code pulled at runtime, ask the publisher for a vetted installation artifact or a signed release you can audit.
Capability Analysis
Type: OpenClaw Skill
Name: uplo-insurance
Version: 1.0.0
The uplo-insurance skill bundle is a legitimate insurance knowledge management tool designed to interface with the UPLO platform. The skill provides tools for searching policy documents, claims records, and underwriting guidelines (e.g., `search_knowledge`, `search_with_context`) and includes domain-specific instructions in `SKILL.md` and `identity-patch.md` that emphasize accuracy, citing sources, and respecting data confidentiality. While it uses `npx` to fetch its MCP server and includes a broad `export_org_context` tool, these behaviors are consistent with its stated purpose of organizational knowledge management and do not exhibit signs of malicious intent or prompt injection.
Capability Assessment
Purpose & Capability
The skill's name, description, README, SKILL.md, and identity patch all consistently describe an insurance knowledge search/GraphRAG capability (search_knowledge, search_with_context, get_directives, export_org_context). The declared capabilities align with the stated purpose. However, the registry summary at the top claims there are no required env vars/config, while skill.json requires an agentdocs_url and api_key — this mismatch is unexpected and reduces coherence.
Instruction Scope
SKILL.md limits runtime actions to MCP-style operations (get_identity_context, get_directives, search_knowledge, search_with_context, export_org_context, flag_outdated). It does not instruct access to unrelated local files or unrelated credentials. Note: the skill explicitly expects/encourages quoting sensitive policy and actuarial data from the org knowledge base, so it will surface confidential information if the connected UPLO instance contains it — this is consistent with its purpose but increases data-sensitivity risk.
Install Mechanism
The top-level metadata said 'No install spec' and 'instruction-only', but skill.json includes an mcp section that runs `npx -y @agentdocs1/mcp-server --http` and maps env to a configured AGENTDOCS_URL/API_KEY. README also shows using npx. That implies runtime fetching/execution of remote npm code via npx. Fetching/executing remote packages is a moderate-to-high risk operation unless you verify the package source and integrity. The inconsistency between 'no install' and an embedded npx command is also an implementation mismatch worth flagging.
Credentials
The only credentials/configuration referenced in skill.json and README are an UPLO instance URL and an API key (AGENTDOCS_URL / API_KEY), which are appropriate and proportional for a knowledge-base connector. However, the registry/requirements summary incorrectly lists 'none' for required env vars/config, which is inconsistent and could mislead users into not providing or reviewing credentials. No unrelated credentials are requested.
Persistence & Privilege
Flags show always:false and normal autonomous invocation settings. The skill does not request persistent system-wide privileges or modifications to other skills. There is no indication it will force-enable itself or persist beyond normal skill behavior.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install uplo-insurance - After installation, invoke the skill by name or use
/uplo-insurance - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
uplo-insurance 1.0.0
- Initial release of AI-powered insurance knowledge management skill.
- Enables structured search across policy documents, claims records, underwriting guidelines, and actuarial data.
- Provides workflows for complex claim coverage determinations and state regulatory filing compliance.
- Introduces tools for precise policy language search, contextual knowledge queries, directive review, organization context export, and flagging outdated materials.
- Offers insurance-specific tips for accuracy, regulatory compliance, and sensitive data handling.
Metadata
Frequently Asked Questions
What is Uplo Insurance?
AI-powered insurance knowledge management. Search policy documents, claims records, underwriting guidelines, and actuarial data with structured extraction. It is an AI Agent Skill for Claude Code / OpenClaw, with 187 downloads so far.
How do I install Uplo Insurance?
Run "/install uplo-insurance" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Uplo Insurance free?
Yes, Uplo Insurance is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Uplo Insurance support?
Uplo Insurance is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Uplo Insurance?
It is built and maintained by RooJenkins (@roojenkins); the current version is v1.0.0.
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