Job search automation, auto apply, resume generation, application tracking, salary intelligence, and recruiter outreach using the JobGPT MCP server.
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High
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tessl review fix ./skills/jobgpt/SKILL.mdSecurity
1 high severity finding. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill shows and instructs using an API key directly in a command/Authorization header (e.g., --header "Authorization: <api-key>") and troubleshooting around a "Missing Authorization header", which encourages embedding secret values verbatim in CLI/commands and could cause the LLM to output those secrets.
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The JobGPT MCP skill workflow exposes an outsider-authored text ingestion path via `import_job_by_url` (“Apply to this job for me - https://...”) which fetches and reads job-page content from a user-supplied external URL before parsing/importing it.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill instructs users to install and run the MCP server via npx (which fetches and executes remote code) and includes the npm package URL https://www.npmjs.com/package/jobgpt-mcp-server that is the source of that executable code.
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