frontend_security_audit_ci_pipeline
Scan GitHub Actions, Vercel, or Netlify CI configs for exposed secrets, missing lockfile enforcement, and unpinned dependencies. Paste your config content — no filesystem access required. config: Raw YAML/TOML content of your CI config. Required. 500 KB max. config_type: github_actions (full chec...
This record as markdown: /tools/dev-7bd0-mcp-server/frontend-security-audit-ci-pipeline.md
What frontend_security_audit_ci_pipeline does on DataNexus MCP
AI agents call frontend_security_audit_ci_pipeline to retrieve information from DataNexus MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
config | string | — | Raw YAML/TOML content of your CI config. Required. 500 KB max. |
config_type | string | — | CI config type: github_actions, vercel, or netlify. Default github_actions. |
Parameters from the server's own tool schema.
Why frontend_security_audit_ci_pipeline is rated Low
This is a pure analysis/scanning tool that examines CI configuration files provided as input and returns security audit results. The user supplies raw config content; the tool parses it and reports vulnerabilities. No code execution occurs, no data is modified or deleted, and the operation is repeatable with identical results. This is classic Read category functionality: information retrieval with no side effects.
From the tool's definition Tool description explicitly states: 'Read-only. No side effects. Idempotent.' The tool 'Scan[s] GitHub Actions, Vercel, or Netlify CI configs' and 'Returns risk_level...
Attacks that exploit this kind of access
The rule that runs frontend_security_audit_ci_pipeline safely
PolicyLayer is an MCP gateway: it sits between your AI agents and DataNexus MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For frontend_security_audit_ci_pipeline, this is the rule to start with:
frontend_security_audit_ci_pipeline 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 DataNexus MCP, apply this rule, and every frontend_security_audit_ci_pipeline call is checked against it from then on.
Questions about frontend_security_audit_ci_pipeline
Scan GitHub Actions, Vercel, or Netlify CI configs for exposed secrets, missing lockfile enforcement, and unpinned dependencies. Paste your config content — no filesystem access required. config: Raw YAML/TOML content of your CI config. Required. 500 KB max. config_type: github_actions (full check suite), vercel, or netlify (secrets only in Sprint 8). Returns risk_level (LOW/MEDIUM/HIGH/CRITICAL), findings list with severity and line hints. NOTE: ${{ secrets.FOO }} and ${{ env.FOO }} references are NOT flagged — only literal secret values. Read-only. No side effects. Idempotent. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="frontend_security_audit_ci_pipeline", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}". It is categorised as a Read tool in the DataNexus MCP MCP Server, which means it retrieves data without modifying state.
frontend_security_audit_ci_pipeline accepts 2 parameters: config, config_type. The full parameter table on this page comes from the server's own tool schema.
Register the DataNexus MCP server in PolicyLayer and add a rule for frontend_security_audit_ci_pipeline: 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 DataNexus MCP. Nothing to install.
frontend_security_audit_ci_pipeline 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 frontend_security_audit_ci_pipeline 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 frontend_security_audit_ci_pipeline. 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.
frontend_security_audit_ci_pipeline is provided by the DataNexus MCP server (dev-7bd0/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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