Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
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Opinionated Oxlint rules for rejecting low-evidence TypeScript and JavaScript patterns
- agent-skills
- linting
- oxlint
- typescript
The Sleuth Kit® (TSK) is a library and collection of command line digital forensics tools that allow you to investigate volume and file system data. The library can be incorporated into larger digital forensics tools and the command line tools can be directly used to find evidence.
- sleuthkit
- tct
- ntfs
- forensics
🎬 Evidence-led Seedance 2.5 / 2.0 prompt library: 840+ cases traced to original posts, 490+ cross-model retest runs, 27 copy-ready templates, 79 installable AI-video Skills. Synced daily from goodcase.ai. EN / 中文 / 日本語.
- ai-video
- awesome
- bytedance
- prompt-engineering
Evidence-first genealogy skill for AI agents (Codex, Claude Code): church books, civil, military, deportation and repression records across the former USSR. Replies in your language.
- agent-skills
- archives
- claude-code
- codex
Windows GPU UNLOCK: RTX3090 UEFI port, Korean no-reset Windows boot guide, verified source and benchmark evidence
Local-first AI agent workspace for multi-agent collaboration, agent orchestration, scoped permissions, evidence-aware runs, and human-in-the-loop decisions.
- agent-collaboration
- agent-workforce
- ai-agent
- local-ai
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
Open-source design-method engine for Claude Code, Codex & Cursor. One agent skill with 22 internal workflows for fixed design judgment, multiple grammars, semantic palettes, reference compilation, and evidence-verified UI. MIT.
SEO foundation checks as an Agent Skill: give it a URL, get a crawler's-eye pass/fail report with evidence. 26 structural checks, zero LLM, deterministic.
Verify that the PowerPoint you are about to deliver is exactly the PPTX that passed QA—locally, offline, and with tamper-evident evidence.
- artifact-integrity
- pptx
- python
- supply-chain-security
Source-linked Claude 5.5 video workflows: Opus and Sonnet demos, separately labeled next-Fable testing reports, prompts, tools and production evidence.
- ai-video
- awesome
- awesome-list
- claude
FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.
- accuracy-decline
- ai-safety
- audit-trail
- fact-checking
Reusable prompts for a structured, evidence-first bug bounty hunting workflow
- application-security
- bug-bounty
- bug-bounty-hunting
- cybersecurity
TranslatedClearAI: an ontology-first DSH agent preset — evidence-checked research that grows into a domain ontology.
- agent-preset
- ai-agents
- deepseek-harness
- dsh-plugin
AI-first external attack surface assessment with continuous discovery, evidence-based vulnerability validation, and developer-agent MCP integration.
- ai
- attack-surface-management
- bbot
- cybersecurity
Make Gemini code like Claude Models. Forces it to inspect files before editing, plan changes, test its work, and back up every “done” with actual evidence.
- agent-skills
- antigravity-skills
- gemini
- prompt-engineering
Harness self-evolution: update targets, theory, evaluation, and reported evidence. Bilingual reading list and project website.
- agent-evaluation
- agent-harness
- agent-memory
- agent-skills
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
- cognitive-capitalism
- cognitive-science
- economic-models
- ecosystem-modeling
Threat modeling for AI coding agents: point Claude Code, Codex or any agent at your repo and get an evidence-traced threat model. 36 architectures, 29 methods, MIT.
FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence
- ai-agents
- ai-scientist
- automated-research
- autoresearch
Evidence-based DSM ransomware recovery: preservation, RAM key recovery, copy decryption, and GitLab validation.
Free local-first AI business advisor with evidence-linked research and verifiable pilot plans.