A standardised malware analysis report template with a JSON Schema and Markdown format mapped to MITRE ATT&CK. Validate, share and compare reports consistently. Part of ThreatBytes.
Offline multi-speaker meeting-speech toolkit: planted-ground-truth synthetic meeting factory, VAD, speaker embeddings, diarization (AHC/spectral/VB-HMM), overlap detection, CTC speaker-attributed ASR, cpWER/DER/JER evaluation, online streaming mode, deterministic reports. NumPy core, CPU-only torch extra.
Developer-first error tracking and performance monitoring
GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community
A股全栈数据工具包:行情K线·当日逐笔·研报·信号·资金面·新闻·财务·公告·打板·ETF期权·舆情·宏观利率·期货大宗(含大商所日K)·事件驱动·可转债 | 15层·87端点·34数据源·除iwencai外免Key | A-share data for AI agents: K-lines, ticks, reports, fund flow, news, financials, filings, options, macro, futures, events, convertibles | 15 layers·87 endpoints·34 sources
Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic findings and evidence coverage, versioned JSON reports, and capability-gated account changes.
Top disclosed reports from HackerOne
A customizable and powerful penetration testing reporting platform for offensive security professionals. Simplify, customize, and automate your pentest reports with ease.
Deep Eye orchestrates multiple AI providers (OpenAI, Claude, Grok, Gemini, OLLAMA, Groq, Mistral, OpenRouter, LiteLLM, LM Studio) for intelligent payload generation, scans targets for 45+ vulnerability types, and produces professional reports with compliance mapping.
PanWatch — AI stock monitoring for A-shares, HK & US markets, powered by TradingAgents. Portfolio insights, real-time alerts & automated reports.|盯盘侠:覆盖 A股/港股/美股的 AI 盯盘、持仓分析、实时提醒与自动报告。
Model Context Protocol for WinDbg.
Turn scattered health data into answers you can trace. Self-hosted AI health data engine for lab reports, wearables and genetics, with a built-in MCP server. Run it with Docker and one LLM key, or keep every model local on llama.cpp.
A Python package and CLI for parsing aggregate and forensic DMARC reports
A platform-neutral analytical Skill that profiles messy data, selects case-adaptive methods, and produces source-backed visual reports for high-stakes decisions.
Generate code coverage reports with gcc/gcov
Stay ahead of AI trends with automated Reddit insights! 🚀 This tool scans AI-related Reddit communities in English & Chinese, using Reddit Official API, DeepSeek V4.1 by OpenRouter to analyze posts, summarize key discussions, and track trends. Daily rankings hot topics—catch emerging trends before they go mainstream! (Updated every 6 AM CDT)
AI data analyst for transparent, reproducible analysis. Works step by step in Python, verifies the evidence behind its reports, and supports a wide selection of models, including local open-weight models.
Free Active Directory pentesting tool for Linux, macOS and Windows. Automates AD and LDAP enumeration, Kerberoasting, ASREPRoast, password spraying, ADCS/ESC1, DCSync, RBCD, gMSA, shadow credentials, NTLM relay and credential dumping across 104 techniques, mapping BloodHound-compatible attack paths to Domain Admin. NIS2 / ISO 27001 reports.
Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
Live SEO audit for any website from one homepage URL, judged by Jev. PDF, XLSX and Markdown reports.
CRM and Task management software, Email marketing and many more. Django CRM software app is built for individual use by businesses of any size or freelancers and is designed to provide easy customization and quick development. ✨
Socorro is the Mozilla crash ingestion pipeline. It accepts and processes Breakpad-style crash reports. It provides analysis tools.
CTI Expert — Cyber Threat Intelligence & OSINT analysis skill for Claude Code / Codex. 120+ commands, 57 techniques, 79 typed MCP tools, deterministic case pipeline + ICD-203 reports. No API keys required for core.
The Reporting Engine for Django. Create dashboards and standalone Reports and Charts.
Uses ChatGPT API, Bard API, and Llama2, Python-Nmap, DNS Recon, PCAP and JWT recon modules and uses the GPT3 model to create vulnerability reports based on Nmap scan data, and DNS scan information. It can also perform subdomain enumeration to a great extent
Command-first ATAC-seq footprinting, motif analysis, and reproducible interactive reports
Source-linked Claude 5.5 video workflows: Opus and Sonnet demos, separately labeled next-Fable testing reports, prompts, tools and production evidence.
Scientific hypothesis-discovery workbench: grounded hypothesis-evidence graphs, synthetic literature with planted causal chains, generate-debate-evolve loops over pluggable offline adapters, Elo tournaments recovering planted skill order, paraphrase dedup, Bayesian evidence accumulation, reproducible reports. NumPy core, CPU-only torch extra.
A local desktop workspace for Codex and Claude Code, with project reports, creative skills and optional voice.
Crypto-currency tax calculator with support for all popular wallets, exchanges, explorers and migration from other crypto tax platforms
Fly-connectome simulation controlling a live Doom arena, with experimental neural plasticity, spectator UI, and scientific validation reports.
Built on **Agentic RAG** (Agent-driven Retrieval-Augmented Generation) technology, it not only accurately answers pre-sales and after-sales questions but also generates personalized usage reports and optimization suggestions by deeply analyzing device data.
Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.
A comprehensive crypto tax solution supporting leading wallets, exchanges, and blockchain explorers.
An open-source Python library that automates the analysis and reporting of machine learning experiments, generating structured and comprehensive reports that make model performance, results, and key insights easier to understand and evaluate by data professionals, with optional Groq-powered AI explanations and recommendations for deeper insights.
Evaluator-neutral AI evaluation evidence, baseline regression gates, and JSON, JUnit, and SARIF reports for CI.
Multi-chain crypto wallet risk scanner for AML/KYT screening. Scores addresses 0–100 using sanctions, risky contracts and fund tracing. Integrates 6 intelligence providers with failover, detects scams, hacks, mixers and phishing, supports 15+ chains, batch screening and TXT/JSON/CSV/HTML/PDF reports. Python, cross-platform.
Self-hosted multi-model deep research system that fuses independent research agents into evidence-grounded reports.
Autonomous multi-agent pentest framework — plans, exploits, verifies (proof-required), CVSS-scores and writes client-ready reports. 104/104 (100%) on the XBOW validation benchmarks, powered by Kimi K3.
Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.
Reliable multi-source financial data ingestion with provenance, retries, normalization, and standard HTML/CSV/JSON reports.
🐛 Advanced web vulnerability scanner with 5-rule false-positive reduction, WAF evasion, and modern HTML reports
Computer Vision pipeline that tracks vehicles and people in traffic footage and reports counts + congestion level.
Privacy-first, self-hosted crypto accounting app with zero cloud data sharing. Aggregates exchange, wallet and multi-chain history, calculates FIFO/LIFO/HIFO cost basis, realized/unrealized PnL and capital gains, tracks staking/airdrop income, and exports tax-ready CSV/PDF/JSON reports. Encrypted SQLite. Python, cross-platform.
Open-source command reports!
Find and repair substance defects in AI-assisted prose, code, docs, and agent output. Reports defects, never authorship. Structural tests over model judgement, because LLM judges agree with human slop labels at chance.
Free, open-source Python CLI converting Serum 1/2 presets to Vital, with per-preset reports of approximations and unsupported features.
🎬 Build custom reports, apps, and presentations from the same notebook
Recoverable and auditable deep-research agent built with LangGraph. It plans research, searches the web, manages evidence and context, resumes interrupted runs, and generates cited reports—also designed as a learning reference for AI Agent enthusiasts.
```text Interactive A-share strategy research with staged entries, walk-forward validation, trade-level explanations and offline reports. Built with Python, React and FastAPI.
DeepSeek-powered portfolio risk research agent for Shanghai A-shares and U.S. equities, featuring VaR/ES backtesting, editable Excel workbooks, and two-page Word reports.
Async Python bot that scrapes YouTube trends, analyzes viral strategies with Gemini LLM, and dispatches HTML reports to Telegram.
A multi-agent application-security review harness for Claude Code (and, later, other AI agents). One router skill dispatches to a full offensive-security pipeline that maps a codebase, hunts vulnerabilities with a per-class knowledge base, chains findings into escalations, verifies real impact, and reports to README/JSON/SARIF/doc/PDF.
Track the lifetime of leaked secrets through git history - detect credential-shaped strings offline and report how long each stayed exposed.
Browse, search and audit AD Explorer snapshots offline in your browser: decoded attributes, LDAP filters, and reports for what BloodHound doesn't show (DNS, subnets, DFS, GPO links, LAPS, AD CS).
Open, reproducible TTS/STT evaluation toolkit: WER/CER via Whisper ASR, NISQAv2, audio health, and prosody metrics with offline black-and-white reports.
A local evaluation lab for decision models. Compare accuracy, speed and memory requirements through an interactive dashboard, inspectable test cases, workflow replays and shareable reports.
End-to-end spoken language understanding toolkit: a small trainable neural audio codec with RVQ, joint intent-and-slot models over speech features, streaming partial intents, a speech-LLM instruction data pipeline, and turn-level evaluation with reproducible reports. NumPy core with a CPU-only torch extra; synthetic data only, fully offline.
Open-source Power BI MCP to build, audit and repair Desktop models and PBIP reports with DAX, TOM, TMDL and PBIR.
Mine GitHub issues for pain points — LLM semantic analysis, severity scoring, topic clustering & one-click market-research reports.