github_workflow
Manage GitHub Actions workflows Use when native Bash / file tools are wrong because this MCP tool exposes Ruflo-specific state or controllers that have no shell equivalent. For tasks that fit a one-line native command, prefer that.
This record as markdown: /tools/ruflo/github-workflow.md
What github_workflow does on Ruflo
AI agents invoke github_workflow to trigger actions in Ruflo. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why github_workflow is rated High
Managing GitHub Actions workflows involves triggering, enabling, disabling, or re-running automated CI/CD pipelines. This is an Execute-level action as it initiates external operations with effects that depend on arguments (which workflow to run, what parameters).
From the tool's definition 'Manage GitHub Actions workflows' — triggers/manages CI/CD pipeline execution on GitHub; 'exposes Ruflo-specific state or controllers that have no shell equivalent'
Attacks that exploit this kind of access
The rule that runs github_workflow safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For github_workflow, this is the rule to start with:
github_workflow stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ruflo, apply this rule, and every github_workflow call is checked against it from then on.
Questions about github_workflow
Manage GitHub Actions workflows Use when native Bash / file tools are wrong because this MCP tool exposes Ruflo-specific state or controllers that have no shell equivalent. For tasks that fit a one-line native command, prefer that. It is categorised as a Execute tool in the Ruflo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ruflo MCP server in PolicyLayer and add a rule for github_workflow: 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 Ruflo. Nothing to install.
github_workflow is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the github_workflow 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 github_workflow. 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.
github_workflow is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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