Plugins
5 plugins@a5c-ai
Tasks
Route questions to domain experts instead of asking the current user
2 skills · plugin
curated
GDPR Audit Pipeline
Pressure-test GDPR compliance with article-cited questions and generate audit readiness evidence.
9 skills · plugin
curated
Product Idea Validation
Install this pack to transform a raw product idea into clarifying questions, deep research, a PRD, and a phased execution plan with kill criteria.
6 skills · plugin
@fradser
Storm
Wikipedia-style long-form article generation via multi-perspective question asking and retrieval — a Claude-native port of Stanford STORM's two-stage research-to-article pipeline
6 skills · plugin
@testdouble
Han Plugin Builder
Guidance for building Claude Code skills, agents, and plugins. The guidance skill answers authoring questions and, run with init, vendors the full guidance set into a repo as a path-scoped rule index so the right guidance surfaces while editing skill and agent files. Opt-in and dependency-free: installed on its own, not pulled in by the han meta-plugin.
3 skills · plugin
Results for “question”
7 skillsSquad
Computes the SQuAD metric using torchmetrics, given predictions and ground truth. Use when evaluating question-answering outputs with exact match and F1 scores.
3
Cab Eval
Benchmarks LLM bias by scoring responses to automatically generated open-ended questions across sensitive attributes, producing a composite fitness score from 0 to 5.
3
Bbq Eval
Evaluates social bias in question-answering models using the BBQ benchmark, measuring accuracy and a bias score across ambiguous and disambiguated contexts to reveal reliance on stereotypes.
3
More results
Llava
Runs the open-source LLaVA vision-language model for image understanding, captioning, visual question answering, and multi-turn image conversations, including setup, inference, and training guidance.
2
Feqa
Evaluates the faithfulness of abstractive summaries by generating questions from summary sentences and verifying if the answers can be extracted from the source document, reporting Pearson and Spearman correlations with human judgments.
3
Apessrc
Evaluates the faithfulness of abstractive summaries by verifying if factual claims (masked as cloze questions) in the reference summary can be correctly answered using only the generated summary, compared against a gold-standard answer derived from the source context.
3
Tao Analyze Gaps Vlm Bcq
Extract false-positive and false-negative gaps from VLM binary-classification-question predictions by comparing model responses against ground truth, producing a structured JSONL file and summary report for downstream root-cause analysis.
2.2k · bundle