standard-method
standard-method is a Literature review & citations skill for AI agents, published by jhrmnn in the pyberny repository on GitHub. Skillspace rates standard-method F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Fetch the Birkholz & Schlegel 2016 paper and its supporting information — the "standard method" (SM) that PyBerny's optimization algorithm follows — plus the papers it cites. Use when the user references the SM, asks about algorithm details/equations/convergence criteria, asks for test structures, asks about any of the SM's cited references (RFO, BFGS/SR1/PSB/Bofill, trust region, redundant internal coordinates, etc.), or asks anything that would be answered by reading [BirkholzTCA16] (cited in `doc/algorithm.rst`).
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 130
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.
Our review
- Architecture
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- MPL-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- dynamic code execution (eval/exec)
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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