Individual skill
ai-research-explore
Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, fair comparison, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow code-only or run-only exploration, passive repo analysis, verified novelty claims, or implicit experimentation.
skills/ai-research-explore/SKILL.md
Source commit fb3ccdf5aa64b1fa5b1d0463e666a8bc8bc26e01
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 486
- Repository last updated
- Sep 23, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- deep-learning Repository topic
- reproducibility Repository topic
- research-tools Repository topic
- docs Derived category
- research Derived category
- education Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 6,701 bytesSKILL.mdcore · 6,701 bytesSKILL.mdcore · 6,701 bytesSKILL.mdcore · 6,701 bytesagents/openai.yamlasset · 423 bytesreferences/ai-research-explore-policy.mddoc · 1,803 bytesreferences/idea-evaluation-framework.mddoc · 1,117 bytesreferences/research-campaign-spec.mddoc · 9,663 bytesreferences/smoke-validation-policy.mddoc · 787 bytesreferences/source-mapping-policy.mddoc · 615 bytesreferences/sources-naming-policy.mddoc · 895 bytesscripts/lookup/__init__.pyruns · 624 bytesscripts/lookup/cache_store.pyruns · 8,607 bytesscripts/lookup/inventory_writer.pyruns · 3,139 bytesscripts/lookup/normalizers.pyruns · 4,907 bytesscripts/lookup/providers/__init__.pyruns · 457 bytesscripts/lookup/providers/arxiv_provider.pyruns · 2,864 bytesscripts/lookup/providers/base.pyruns · 3,086 bytesscripts/lookup/providers/doi_provider.pyruns · 2,828 bytesscripts/lookup/providers/github_provider.pyruns · 3,382 bytesscripts/lookup/providers/optional_provider.pyruns · 844 bytesscripts/lookup/providers/url_provider.pyruns · 2,090 bytesscripts/lookup/record_schema.pyruns · 3,445 bytesscripts/lookup/repo_extractors.pyruns · 3,064 bytesscripts/lookup/source_support.pyruns · 4,505 bytesscripts/orchestrate_explore.pyruns · 124,846 bytesscripts/passes/__init__.pyruns · 909 bytesscripts/passes/atomic_idea_decomposition.pyruns · 12,815 bytesscripts/passes/candidate_idea_generation.pyruns · 22,068 bytesscripts/passes/execution_feasibility.pyruns · 19,961 bytesscripts/passes/idea_cards.pyruns · 1,788 bytesscripts/passes/idea_ranking.pyruns · 8,649 bytesscripts/passes/implementation_fidelity.pyruns · 16,637 bytesscripts/passes/improvement_bank.pyruns · 19,244 bytesscripts/passes/lookup_sources.pyruns · 16,634 bytesscripts/passes/source_mapping.pyruns · 19,584 bytesscripts/write_outputs.pyruns · 1,194 bytes
Read excerpt
# ai-research-explore
## Purpose
Use this as the Rigor Explore compatible skill slug after the researcher
explicitly authorizes candidate-only work on top of a durable
`current_research` anchor. The installed slug remains `ai-research-explore` for
compatibility. Rigor Explore is for meaningful and potentially novel deep
learning research candidates while preserving scientific rigor, comparability,
reproducibility, and auditable collaboration. Novelty and significance remain
hypotheses before literature contrast, ablation evidence, and fair comparison.
The skill does not promise autonomous discovery, global benchmark completeness,
novelty proof, or trusted reproduction success.
