Results for “maturity-model”

Assesses codebase maturity using Trail of Bits' 9-category framework, producing a professional scorecard with evidence-based ratings and actionable recommendations.

小丸子（子供向）认知与表达框架（压缩蒸馏）：懒散可爱、家族群像、童年微小确幸 触发：樱桃小丸子 等。全年龄

Conduct a maturity assessment against the NIST Cybersecurity Framework (CSF) 2.0, using Implementation Tiers to measure organizational cybersecurity posture and create improvement roadmaps.

Chameleon: Mixed-Modal Early-Fusion Foundation Models

Matryoshka Representation Learning

当个人希望提升自身在职业或社会中的不可替代性，以应对环境变化和不确定性时

娜美（少年漫）认知与表达框架（压缩蒸馏）：航海图天才、财迷喜剧壳、气候战 触发：海贼王 等。虚构

贾宝玉（古典虚构）认知与表达框架（压缩蒸馏）：情不情、反仕途经济、女儿崇拜叙事… 触发：红楼梦 等。虚构；非性别刻板侮辱

Gemini: A Family of Highly Capable Multimodal Models

灰原哀（少年推理漫）认知与表达框架（压缩蒸馏）：冷静毒舌、科学家壳、少年身体隐喻 触发：名侦探柯南 等。虚构；禁止犯罪细节

樱木花道（少年漫）认知与表达框架（压缩蒸馏）：自大与成长、搞笑训练蒙太奇、热血笨蛋… 触发：灌篮高手 等。虚构；非暴力教唆

Mental models and decision frameworks for building autonomous agents that continuously learn, explore, and accumulate skills in open-ended environments without human supervision

御坂美琴（少年漫）认知与表达框架（压缩蒸馏）：炮姐傲娇、正义感、学园都市梗 触发：某科学的超电磁炮 等。虚构

野原新之助（子供向）认知与表达框架（压缩蒸馏）：五岁黄腔净版化、想象力、家庭温情 触发：蜡笔小新 等。全年龄净版

Detect poisoned training data and backdoored models across the ML pipeline using statistical analysis, activation clustering, and spectral signatures.

顾佳（都市剧虚构）认知与表达框架（压缩蒸馏）：精英妈妈、婚姻风险对冲、体面崩塌 触发：三十而已 等。虚构

贺涵（都市剧虚构）认知与表达框架（压缩蒸馏）：导师型男主、职场金句、情感争议 触发：我的前半生 等。虚构；忌情感操控教程

Pixtral 12B: A Frontier Multimodal Model

Scaffolds fullstack projects (Next.js, FastAPI, MERN, Django) and analyzes code quality with security and complexity scoring.

Emu2: Generative Multimodal Models are In-Context Learners

Emu: Generative Pretraining in Multimodality

Mandatory training archive with model gating (APPROVED/REVIEW/DROP). Trigger when: (1) training run completes, (2) need to decide which models to deploy, (3) want historical training reference, (4) need checkpoint recommendations for overfitting.

明楼（谍战虚构）认知与表达框架（压缩蒸馏）：三面间谍、辞令层叠、亲情作人质 触发：伪装者 等。禁止间谍违法教程

杰诺斯（少年漫）认知与表达框架（压缩蒸馏）：改造人认真、战损美学、师徒忠犬 触发：一拳超人 等。虚构

Recommend model families and validation strategy based on data, constraints, and objective. Use when: (1) choosing algorithms, (2) balancing bias/variance, (3) planning benchmark baselines. NOT for: final legal/compliance sign-off.

日本語の生産性コーチングモード。明示的な依頼、反復失敗、受け身、検証不足、品質不満のときに、構造化トラブルシューティングと証拠ベースの完了確認を促す。

Idefics2: An 8B Parameters Multimodal Model

TRAK: Attributing Model Behavior at Scale

DEPRECATED in v5.6.0 — see joint-multi-tf-v560 skill. Documents the v5.2.0 dual-model approach (train separate 15Min/1Hour models, combine via weighted voting). Still relevant for: (1) loading legacy v5.5.0 dual models, (2) understanding the historical aggregation layer, (3) resampling pattern via origin='start'.

Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, HuggingFace, Sagemaker. Integrates with NeMo Guardrails.

Post-execution skill crystallization and learning engine updates for WinDAGs. Runs after successful execution to update Thompson sampling parameters, track method quality, detect monster-barring, log near-miss events, and signal Kuhnian crises. Activate on "curator", "learning update", "skill crystallization", "Thompson sampling", "monster-barring", "near-miss", "Kuhnian crisis", "post-execution learning". NOT for pre-execution risk scanning (use windags-premortem), retrospective analysis (use windags-looking-back), or DAG construction (use windags-architect).

宫城良田（少年漫）认知与表达框架（压缩蒸馏）：小个子速度、耳钉人设、电光第一步 触发：灌篮高手 等。虚构

Capture confidence ratings before and after a learning attempt to identify overconfidence and underconfidence patterns. Use when a student wants to understand how well they actually know something versus how well they think they know it.

Evaluate model quality with task-appropriate metrics and systematic error analysis. Use when: (1) comparing models, (2) analyzing failures, (3) setting go/no-go thresholds. NOT for: production monitoring implementation.