scoring AI Agent Skills

testability-scoring

215

proffesor-for-testing

AI-powered testability assessment using 10 principles of intrinsic testability with Playwright and optional Vibium integration. Evaluates web applications against Observability, Controllability, Algorithmic Simplicity, Transparency, Stability, Explainability, Unbugginess, Smallness, Decomposability, and Similarity. Use when assessing software testability, evaluating test readiness, identifying testability improvements, or generating testability reports.

qe-testability-scoring

215

proffesor-for-testing

AI-powered testability assessment using 10 principles of intrinsic testability with Playwright and optional Vibium integration. Evaluates web applications against Observability, Controllability, Algorithmic Simplicity, Transparency, Stability, Explainability, Unbugginess, Smallness, Decomposability, and Similarity. Use when assessing software testability, evaluating test readiness, identifying testability improvements, or generating testability reports.

esm

100

adaptyvbio

ESM2 protein language model for embeddings and sequence scoring. Use this skill when: (1) Computing pseudo-log-likelihood (PLL) scores, (2) Getting protein embeddings for clustering, (3) Filtering designs by sequence plausibility, (4) Zero-shot variant effect prediction, (5) Analyzing sequence-function relationships. For structure prediction, use chai or boltz. For QC thresholds, use protein-qc.

ipsae

100

adaptyvbio

Binder design ranking using ipSAE (interprotein Score from Aligned Errors). Use this skill when: (1) Ranking binder designs for experimental testing, (2) Filtering BindCraft or RFdiffusion outputs, (3) Comparing AF2/AF3/Boltz predictions, (4) Predicting binding success rates, (5) Need better ranking than ipTM or iPAE. For structure prediction, use chai or alphafold. For QC thresholds, use protein-qc.

dag-confidence-scorer

43

curiositech

Assigns confidence scores to agent outputs based on multiple factors including source quality, consistency, and reasoning depth. Produces calibrated confidence estimates. Activate on 'confidence score', 'how confident', 'certainty level', 'output confidence', 'reliability score'. NOT for validation (use dag-output-validator) or hallucination detection (use dag-hallucination-detector).

dag-capability-ranker

43

curiositech

Ranks skill matches by fit, performance history, and contextual relevance. Applies multi-factor scoring including success rate, resource usage, and task alignment. Activate on 'rank skills', 'best skill for', 'skill ranking', 'compare skills', 'optimal skill'. NOT for semantic matching (use dag-semantic-matcher) or skill catalog (use dag-skill-registry).

evaluator

30

SimHacker

Independent assessment without debate context — adversarial loop prevents gaming

rubric

30

SimHacker

Measurable criteria translating qualitative debate to quantitative scores

sales-call-analysis

arielperez82

Sales call evaluation frameworks, scoring methodology, and coaching insights for B2B sales. Enables systematic assessment of sales conversations against proven methodologies (SPIN, Challenger, MEDDIC) with quantified scorecards and improvement recommendations.

lead-qualification

arielperez82

Enterprise lead scoring rubrics, ICP matching, and qualification frameworks (BANT, MEDDIC, CHAMP) for B2B sales. Enables systematic lead scoring against ideal customer profiles with configurable criteria and threshold-based routing.