Results for “wef”
51 skillsMore results
waf-rule-creator
Create waf rule creator operations. Auto-activating skill for Security Advanced. Triggers on: waf rule creator, waf rule creator Part of the Security Advanced skill category. Use when working with waf rule creator functionality. Trigger with phrases like "waf rule creator", "waf creator", "waf".
4
feaf
Applies the Federal Enterprise Architecture Framework to design scalable, maintainable, and interoperable enterprise systems and solutions.
2
aws-waf
Analyzes AWS WAF web ACLs, rules, IP sets, and logging configurations, and retrieves blocked/allowed request metrics from CloudWatch.
7
performing-web-application-firewall-bypass
Bypass Web Application Firewall protections using encoding techniques, HTTP method manipulation, parameter pollution, and payload obfuscation to deliver SQL injection, XSS, and other attack payloads past WAF detection rules.
24.6k · bundle
team-fe
Generates frontend source code and a PR description from BA, TechLead, PM, and BE artifacts, following a level-based implementation plan.
19 · bundle
detecting-sql-injection-via-waf-logs
Analyze WAF logs from ModSecurity, AWS WAF, or Cloudflare to detect SQL injection attack campaigns, classify injection types, and generate incident reports with OWASP classification.
24.6k · bundle
wdf-kmdf
Kernel-Mode Driver Framework (KMDF), the Microsoft-recommended way to write Windows kernel-mode drivers. Covers DriverEntry, EvtDeviceAdd, IRPs and IOCTLs, I/O queues, PnP and Power state machines, IRQL discipline, memory pools, WPP tracing, SAL annotations, and Driver Verifier. USE WHEN: user mentions "KMDF", "WDF kernel", "Windows kernel driver", "DriverEntry", "WdfDriverCreate", "EvtDeviceAdd", "IRP", "IOCTL", "DISPATCH_LEVEL", "PASSIVE_LEVEL", "NTSTATUS", "PoolTag", "WdfRequestComplete" DO NOT USE FOR: UMDF v2 (use `wdf-umdf`), classic WDM-only drivers, file-system filters (FltMgr is a separate framework)
28
team-fe
Generates frontend source code files and a PR description from BA, TechLead, PM, and BE artifacts, following a level-based implementation plan.
1 · bundle
fleet-fuel-card-programs
Use when a carrier asks about fuel-card vendor selection (Comdata, EFS, WEX, RTS, Pilot Flying J, Love's Connect), discount levels, fraud control, driver authorization PINs, IFTA reporting features, cash advance, money codes, or how the card fits into payroll/settlement workflows.
1
implementing-web-application-logging-with-modsecurity
Configure ModSecurity WAF with OWASP Core Rule Set for web application logging, tune rules to reduce false positives, and analyze audit logs for attack detection.
24.6k · bundle
molfeat
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
0 · bundle
ijfw-preflight
Run the IJFW preflight pipeline (12 gates, fail-fast). Trigger: 'ijfw preflight', 'run preflight', 'check before ship', 'preflight gates', 'validate before release'.
37
molfeat
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
0 · bundle
wdf-umdf
User-Mode Driver Framework v2 (UMDF). User-mode driver model that uses the same WDF object model as KMDF but runs in a host process (WUDFHost.exe) protected by the reflector. Required for some categories (Indirect Display Drivers, many sensor and camera drivers) and recommended for any driver that doesn't strictly need kernel mode. USE WHEN: user mentions "UMDF", "WUDFHost", "user-mode driver", "reflector", "IDD", "ISensor", "WDFHOST", "UMDF v2", "FX2" DO NOT USE FOR: KMDF (use `wdf-kmdf`), classic UMDF v1 (deprecated, COM-based)
28
molfeat
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
5 · bundle
hf-mem
Estimates the memory required to load Safetensors or GGUF model weights for inference from the Hugging Face Hub, using HTTP Range requests without downloading weights.
10.8k
google-cloud-waf-sustainability
Evaluates Google Cloud workloads against the Sustainability pillar of the Well-Architected Framework, providing actionable recommendations to minimize environmental impact.
14.4k
westockdata
查询A股、港股、美股个股/指数/ETF的详细数据,包括:K线/分时、财务报表(三大报表多期查询,支持跨市场批量对比)、资金流向、技术指标、筹码分析、股东结构、分红除权、业绩预告、公司简况、ETF基金数据(详情/持仓/净值);以及大盘指数、行业/板块行情、板块成份股、板块区间涨幅排行、指数成份股、热搜、新股日历、投资日历等市场数据。
228 · bundle
wireframing
Create text-based wireframes at low, mid, and high fidelity with component inventories, interaction annotations, and responsive breakpoint specifications. Use when the user requests wireframing or provides relevant inputs for this workflow.
159
securing-api-gateway-with-aws-waf
Protect API Gateway endpoints with AWS WAF by configuring managed rule groups, rate limiting, bot control, IP reputation filtering, and monitoring.
24.6k · bundle
molfeat
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
3 · bundle
ijfw-workflow
Universal project workflow with built-in quality auditing. Quick mode (fast brainstorm, ~5 min) or Deep mode (full plan with audits, ~30 min). Auto-picks based on task size. Trigger: 'build', 'create', 'plan', 'new project', 'brainstorm', 'design', 'UI', 'website', 'dashboard', 'app', 'help me build', or any project-level task.
37
ijfw-auto-memorize
Session-end auto-extraction of lessons, errors, fixes, and user feedback into structured memory. Fires at session end. Requires consent on first run.
37
molfeat
Featurização molecular para ML (100+ featurizadores). ECFP, MACCS, descritores, modelos pré-treinados (ChemBERTa), converter SMILES em features, para QSAR e ML molecular.
10 · bundle
ijfw-team
Generate project-specific agent teams during workflow Discovery. Trigger: 'set up a team', 'create agents for', or auto-triggered by ijfw-workflow deep mode after Discovery.
37
ffi
Development with Ffi: tools and best practices
2 · bundle
wireframing-spec
Produce low/mid-fidelity wireframe specifications and annotations for handoff. Use when: (1) early concepting, (2) comparing layout options, (3) PM/engineering alignment. NOT for: high-fidelity branding work.
0
foreign-cf-study
根据研究者提供的**研究计划书(Research Proposal)**执行基于**外国(美国/欧盟/英国/日本/跨国)制度环境**的公司金融类实证研究全流程。**启动后第一件事:根据计划书的主题、识别策略、贡献边际与样本范围,从外国 CF 顶刊池(AER/QJE/JPE/JF/JFE/RFS/JFQA/JAR/JAE/MS/JCF/JBF 等 25+ 期刊)中推荐 5 本最匹配的目标期刊([J1]–[J5]),等待研究者明确选定一本;该期刊决定 main.tex 的 bibliographystyle、Section 骨架、Introduction 风格与表注规范**。然后用 Python 完成数据清洗、描述性统计、基准回归、内生性检验(IV/2SLS、DML)、平行趋势、异质性、机制、稳健性检验与图表绘制。LaTeX 表格和图像严格遵循 template/ 示例格式,研究逻辑与排版严格遵循 rule/ 下的《通用实证研究逻辑与规范总结》与《回归表写作规范总结》。数据集与政策集从 asset/ 中按计划书中的关键词检索(WRDS / NBER/Fed releases / FRED / 全球宏观库)。**当计划书预期的实证结果无法实现时(系数不显著、平行趋势不通过、IV 弱工具、机制不成立等),skill 自动切换备选方案直至完成研究项目**。最终交付物:Python 代码 + LaTeX 表格 + 图像(.pdf/.png)。触发条件:研究者提交研究计划书(含 X→Y 假设、识别策略、样本、政策冲击等)。
1k · bundle
implementing-endpoint-detection-with-wazuh
Deploy and configure Wazuh SIEM/XDR for endpoint detection including agent management, custom decoder and rule XML creation, alert querying via the Wazuh REST API, and automated response actions.
24.6k · bundle
faf-wizard
Generates AI-ready context files for any codebase by auto-detecting the tech stack, scoring AI-readiness, and producing a portable .faf file that works across AI tools.
42.4k
workflow
Vercel Workflow DevKit (WDK) expert guidance. Use when building durable workflows, long-running tasks, API routes or agents that need pause/resume, retries, step-based execution, or crash-safe orchestration with Vercel Workflow.
0 · bundle
vrf
Analyze vrf operations. Use when you need to understand vrf mechanisms, evaluate protocol security, or reference on-chain concepts.
12 · bundle
aeon-defi-overview
Delivers a daily DeFi regime verdict (RISK-ON/NEUTRAL/RISK-OFF) from five named inputs, top TVL movers with causal reasoning, and a sustainable-vs-incentive yield split to distinguish real product-market fit from emissions-pumped APY.
1.2k · bundle
ressort-aa
Bietet Legistinnen und Legisten das Sachfeld-Verständnis für das Auswärtige Amt, inklusive Ressort-Stammdaten, Kernnormen, Spezialfeldern und typischen Stolpersteinen, als Vorbereitung für Normtext und Begründung.
1.5k
rfp-responder
Parse RFP/RFI/RFQ documents, score fit per requirement with verifiable proof points, generate win-themes, estimate winrate, and produce a bid/no-bid recommendation using the Shipley method.
20.4k · bundle