Create comprehensive feature implementation plan with codebase analysis and research. Also wires bidirectional back/forward references between existing plans (the update-references workflow). Use when the user wants to plan a feature, turn a PRD into an implementation plan, "link two plans", "add a back/forward reference", "connect related plans", or invokes /prp-plan.
72
88%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
High
Do not use without reviewing
Security
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 prompt requires copying "actual" code snippets from the repository (and launching agents that extract code), which forces the LLM to reproduce verbatim code from the codebase and thus may expose embedded secrets/API keys if present.
Low
Low-risk findings.
1 low severity finding. 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 required workflow always launches a `prp-core:web-researcher` subagent in Phase 3 to perform “web research”, which (because it fetches public documentation at runtime and parses it into text for the agent/tool) can ingest outsider-authored free-form web page content into the LLM context.
1142738
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.