ier-robustness
ier-robustness is a Statistical modelling skill for AI agents, published by brycewang-stanford in the Awesome-Journal-Skills repository on GitHub. Skillspace rates ier-robustness D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use when an International Economic Review (IER) result may be sensitive to specification, sample, functional form, calibration, or inference choices. Organizes robustness by threat to the load-bearing assumption; it does not run the regressions.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 805
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 2 collections
- Scope
- Portable: works in any project. General econometric robustness strategy for any IER-style paper
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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