actions_list
List GitHub Actions workflows in a repository
This record as markdown: /tools/io-github-aifity-omnigit-mcp/actions-list.md
What actions_list does on GitHub
AI agents call actions_list 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.
Why actions_list is rated Low
This tool retrieves and enumerates existing GitHub Actions workflows, which is a read-only operation with no side effects. Listing workflows does not create, modify, delete, or execute any workflows. The blast radius if misused by an AI agent is minimal — an agent could only discover what workflows exist in a repository, which is informational.
From the tool's definition Tool name is 'actions_list' and description states it 'List[s] GitHub Actions workflows in a repository' — a query operation that retrieves workflow metadata without modifying or triggering any state.
Attacks that exploit this kind of access
The rule that runs actions_list 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 actions_list, this is the rule to start with:
actions_list is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every actions_list call is checked against it from then on.
Questions about actions_list
List GitHub Actions workflows in a repository. It is categorised as a Read tool in the GitHub MCP Server, which means it retrieves data without modifying state.
Register the GitHub MCP server in PolicyLayer and add a rule for actions_list: 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.
actions_list is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the actions_list 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.
Set action: deny in the PolicyLayer policy for actions_list. 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.
actions_list 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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