Individual skill
paper-context-resolver
Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.
skills/paper-context-resolver/SKILL.md
Source commit fb3ccdf5aa64b1fa5b1d0463e666a8bc8bc26e01
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
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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
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Browse files
SKILL.mdcore · 2,066 bytesSKILL.mdcore · 2,066 bytesagents/openai.yamlasset · 368 bytesreferences/paper-assisted-reproduction.mddoc · 1,327 bytes
Read excerpt
# paper-context-resolver
Use this as the Rigor Paper Context helper. The installed slug remains
`paper-context-resolver` for compatibility.
## When to apply
- README and repo files leave a reproduction-critical gap.
- The gap concerns dataset version, split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumptions.
- The main skill needs a narrow evidence supplement instead of a full paper summary.
- There is already a concrete reproduction question to answer.
## When not to apply
