anti-benchmark
FeaturedChallenge industry best practices' hidden assumptions. Deconstruct benchmarks to reveal unexamined constraints.
Install
Quality Score: 93/100
Skill Content
Details
- Author
- yogsoth-ai
- Repository
- yogsoth-ai/de-anthropocentric-research-engine
- Created
- 7 months ago
- Last Updated
- yesterday
- Language
- HTML
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
benchmark-analysis
Takes one of the user's own metrics and checks it against a stated benchmark source, returning a clear over/under read and what that gap actually means. Use when the user wants to know if a number (churn rate, CAC, conversion rate, NPS) is good or bad relative to a real reference point, not just the number in isolation. Boundary: this skill does not have a live connection to any benchmark database. It compares against whatever source the user supplies, or discloses plainly when it is using general public knowledge instead.
benchmark-curator
Design, curate, version, and quality-control benchmark or evaluation corpora for Agent Skills and quality workflows, including task taxonomies, discovery/forced/negative controls, adversarial and regression cases, difficulty strata, holdout isolation, provenance, duplication, contamination risk, coverage balance, and immutable benchmark hashes. Use when the user asks to build or maintain an eval dataset, golden set, benchmark suite, regression corpus, holdout, challenge set, or representative test cases. Do not use to execute the model experiment or claim lift (use skill-evaluator), to design the grading rubric (use rubric-designer), to edit the candidate skill (use skill-creator), or to treat leaked/known cases as a clean holdout.
benchmark-methodology
Rules for measuring or quoting any benchmark number in this repo. Load before running the bench tier, writing a delta into a PR or CHANGELOG, or touching anything under benchmarks/.