Description
ai-research-explore is an agent skill from the rigorpilot-skills collection for exploring candidate deep learning research ideas with scientific rigor. It is the Rigor Explore skill, and its installed name stays ai-research-explore for compatibility. The skill is meant for use after a researcher has picked a task family and explicitly authorized candidate-only work on top of a durable research anchor. It aims at meaningful and potentially novel research candidates while keeping comparability, reproducibility and an auditable record of the collaboration. The skill is careful about what it claims. It treats novelty and significance as hypotheses to be tested against the literature, ablation evidence and fair comparison, and it does not promise autonomous discovery, complete coverage of a benchmark, proof of novelty or a reproduction that will succeed. Before it works it points the assistant to shared operating principles and to the research-rigor and deep-learning experiment references, which matter when experiment details affect whether results can be compared. It suits researchers who want an agent to propose and check candidate ideas under explicit rules rather than run open-ended experiments. The skill's listing shows about 319,000 installs on skills.sh, with Gen Agent Trust Hub, Socket and Snyk each showing a warning. Install it with npx skills add https://github.com/lllllllama/rigorpilot-skills --skill ai-research-explore.…
Highlights
- Explores candidate deep learning research ideas with rigor
- Requires explicit researcher authorization for candidate-only work
- Treats novelty as a hypothesis to check against the literature
- Keeps comparability and reproducibility in view
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ai-research-explore FAQ
When should I use it?
After you have chosen the task family and explicitly authorized candidate-only exploration on top of a durable research anchor.
Does it guarantee a new result?
No. The skill says it does not promise autonomous discovery, global benchmark completeness, novelty proof or successful reproduction.
What does it consider when comparing results?
Comparability, reproducibility and fair comparison, with ablation evidence and literature contrast before any novelty claim.
How do I install it?
Run npx skills add https://github.com/lllllllama/rigorpilot-skills --skill ai-research-explore.
Which security audits does it have?
On skills.sh, Gen Agent Trust Hub, Socket and Snyk each show a warning.
What are the best ai-research-explore alternatives?
Popular alternatives to ai-research-explore include ai-research-reproduction, analyze-project and explore-code. See all ai-research-explore alternatives