research-ops
The research-ops skill provides a structured workflow for evidence-based research, comparisons, and lead enrichment. It coordinates specialized research tools like exa-search, deep-research, market-research, and lead-intelligence to ensure efficient information gathering and synthesis.
Is research-ops safe to install?
Safe to install: our audit of research-ops's source files found 0 shell commands, 0 external URLs, no file writes (none risk). Every command and URL listed appears verbatim in the skill's source. The skill acts as a procedural wrapper for other research tools and does not execute shell commands or network requests directly.
How we audit skills: our security review methodology.
Who is this skill for?
Users requiring current, evidence-backed research, comparisons, or lead intelligence who need a consistent, transparent methodology for synthesizing public data with local context.
What can you do with it?
- Performing current web research for factual questions
- Comparing options or generating decision memos
- Enriching data on people or companies
- Identifying recurring research tasks suitable for automated monitoring
How good is this skill?
Quality score: 5/10. The skill provides clear, actionable instructions for research workflows and enforces strict evidence labeling, which improves output reliability.
What does the skill file contain?
# Research Ops Use this when the user asks to research something current, compare options, enrich people or companies, or turn repeated lookups into a monitored workflow. This is the operator wrapper around the repo's research stack. It is not a replacement for `deep-research`, `exa-search`, or `market-research`; it tells you when and how to use them together. ## Skill Stack Pull these ECC-native skills into the workflow when relevant: - `exa-search` for fast current-web discovery - `deep-research` for multi-source synthesis with citations - `market-research` when the end result should be...
Frequently asked questions
Does this skill perform the actual web searches?
No. It acts as an operator wrapper that directs the agent to use specific tools like exa-search, deep-research, market-research, or lead-intelligence based on the task requirements.
How does the skill handle user-provided information?
The skill requires the agent to normalize user-supplied material into evidenced facts, items needing verification, and open questions before initiating any new research.
What output format does the skill require?
It requires a structured output containing the question type, evidence, inference, and a final recommendation that includes whether the task should become a recurring monitor.
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