Orchestrate research entry lifecycle in ./research/ — create, batch-import, refresh stale entries, and validate structure. Use when asked to add a tool, research a URL, document a library, refresh research, validate entries, or given any tool or library URL. Supports --batch (parallel multi-URL), --rerun (refresh one or all entries), and --validate (structural check with auto-fix of error-severity issues).
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Low-risk findings worth noting
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.
SKILL.md’s Default Mode/Batch Mode parses attacker-supplied URLs from `<mode_args/>`, then spawns `@research-curator` with the prompt “Research and create an entry for: {URL}”, which at runtime causes the LLM to ingest outsider-authored content from those URLs to produce the research entry.
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 orchestrator accepts arbitrary URLs from <mode_args/> and --batch and injects them into agent prompts (e.g., "Research and create an entry for: {URL}") and explicitly treats provided Mermaid/process diagrams as authoritative executable procedures (example runtime URLs shown: https://url1.com, https://url2.com, https://url3.com, https://url.com), so external content at those URLs can directly control agent behavior at runtime.
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