affects

Filter advisories by affected package or version (e.g. "package1,package2@1.0.0"). (string, optional)

SERVERGitHub SOURCEoci:ghcr.io/aifity/omnigit-mcp:0.5.0

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-aifity-omnigit-mcp/affects.md

WHAT IT DOES

What affects does on GitHub

AI agents call affects to retrieve information from GitHub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why affects is rated Low

This tool retrieves or queries security advisory data based on package criteria. It performs no modifications, deletions, or external operations—purely advisory lookup. The low severity reflects minimal blast radius if misused: an agent could only over-query or retrieve information about affected packages.

From the tool's definition Tool filters advisories by affected package or version; the description explicitly states it filters (searches/queries) data with no side effects. The verb 'filter' and parameters 'package1,package2@1.0.0' indicate read-only querying of advisory information.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs affects safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GitHub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For affects, this is the rule to start with:

affects Allowed

affects is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "affects": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every affects call is checked against it from then on.

FAQ

Questions about affects

What does the affects tool do? +

Filter advisories by affected package or version (e.g. "package1,package2@1.0.0"). (string, optional). It is categorised as a Read tool in the GitHub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on affects? +

Register the GitHub MCP server in PolicyLayer and add a rule for affects: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GitHub. Nothing to install.

What risk level is affects? +

affects is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit affects? +

Yes. Add a rate_limit block to the affects rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block affects completely? +

Set action: deny in the PolicyLayer policy for affects. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides affects? +

affects is provided by the GitHub MCP server (oci:ghcr.io/aifity/omnigit-mcp:0.5.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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