reproduce-paper
reproduce-paper is a Model training & evaluation skill for AI agents, published by ripl in the CamPoseOpensource repository on GitHub. Skillspace rates reproduce-paper C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Reproduce numbers from "Do You Know Where Your Camera Is? View-Invariant Policy Learning with Camera Conditioning" (Jiang et al., ICRA 2026). Use when the user asks to reproduce a figure, table, row, or experiment from the paper (e.g. "reproduce fig 6 lift randomized with conditioning", "rerun table 1 row 3"). Resolves the user's request to an entry in `reproduce/paper_runs.yaml` and prints the exact `reproduce/reproduce.py` command (or cluster job script) to run.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 34
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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