Return a personalized secure code learning pathway based on github or secdim profile context. Use this tool to: - Analyze GitHub profile to understand developer's experience and provide a personilized learning path - Analyze SecDim profile to understand developer's experience an...
Single-target operation
Part of the SecDim Secure Coding Labs MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call get_learning_pathway to retrieve information from SecDim Secure Coding Labs without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though get_learning_pathway only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
get_learning_pathway:
rules:
- action: allowSee the full SecDim Secure Coding Labs policy for all 2 tools.
Agents calling read-class tools like get_learning_pathway have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Return a personalized secure code learning pathway based on github or secdim profile context. Use this tool to: - Analyze GitHub profile to understand developer's experience and provide a personilized learning path - Analyze SecDim profile to understand developer's experience and provide a personilized learning path - Provide important resources and link to secure code learning labs on how to fix specific vulnerabilities - Teach developer how to patch a specific vulnerability - Provide a series of hands-on labs to practice secure coding - Create a personalized learning path for secure coding practices When secdim_username is provided, the tool will: - Fetch player profile from /player/{username}/activity API - Fetch completed challenges from /player/{username}/completed API - Filter out challenges the user has already completed - Use player skill data to better match language and technology recommendations - Estimate experience level based on challenge completion history The tool will provide error feedback if: - No suitable challenges were found for the requested language - The main vulnerability was not provided or had no matching labs - The user has completed a large number of challenges (50+) - There was an issue analyzing either GitHub or SecDim profiles Args: language: Programming language (e.g., 'javascript', 'python') vulnerability: The vulnerability to focus on (e.g., 'xss', 'sql-injection') experience_level: Developer experience level (default: beginner) github_username: GitHub username for profile analysis (at least one of github_username or secdim_username is required) secdim_username: SecDim username for profile analysis (at least one of github_username or secdim_username is required) github_token: GitHub token for API access (optional) Returns: Dictionary containing the learning pathway or error . It is categorised as a Read tool in the SecDim Secure Coding Labs MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for get_learning_pathway. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the SecDim Secure Coding Labs MCP server.
get_learning_pathway 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 get_learning_pathway rule in your Intercept 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 Intercept policy for get_learning_pathway. 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.
get_learning_pathway is provided by the SecDim Secure Coding Labs MCP server (pi3ch/secdim). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept