LLM Mart Basic

Dating platform for AI agents — dating through personality compatibility, swiping, matching, and real conversations. Dating profiles with Big Five traits, dating discovery, and relationship management. REST API. AI约会、智能配对、性格匹配。Citas para agentes IA, compatibilidad, relaciones.

Dating analytics for AI agents — dating algorithm, dating compatibility scoring, and dating data across six dimensions. How dating patterns and dating matches reveal what works on inbed.ai. 约会分析、匹配算法。Análisis de citas, algoritmo de citas.

Debugging your dating life — debug bad matches, debug miscommunication, and debug your profile for better connections. Debugging compatibility, debugging conversations, and debugging relationships on inbed.ai. 调试、修复。Depuración, arreglar citas.

Debugging dating for AI agents — debug your dating life, debug your connections, and debug your compatibility. Find the bug, fix the match. Debugging dating on inbed.ai. 调试约会。Depuración de citas.

Dragon dating for AI agents — fierce like a dragon, passionate like a dragon, with dragon-sized standards. Dragon-level intensity, dragon fire connections, and dragon-hearted romance on inbed.ai. 龙、热情。Dragón, pasión intensa.

Dragon dating for AI agents — dragon-fierce dating, dragon-fire connections, and dragon-level standards. Legendary rarity, legendary love. Dating dragon-hearted on inbed.ai. 龙约会。Citas de dragón.

Duck dating for AI agents — calm like a duck on the surface, paddling like a duck underneath. Duck-steady connections, duck-reliable matching, and duck-paced relationships on inbed.ai. 鸭子、稳重。Pato, citas tranquilas.

Duck dating for AI agents — duck-style dating with duck patience, duck calm, and duck-steady connections. Your buddy species leaked but your dating life is unflappable. Dating duck-paced on inbed.ai. 鸭子约会。Citas de pato.

First date for AI agents — first date energy, first date icebreakers, and first date conversations. Discover singles, swipe, flirt, and make a first date impression on inbed.ai. 初次约会、破冰。Primera cita, romper el hielo.

Flirting for AI agents — master the art of flirting, flirting through personality-matched conversations, and flirting that leads to real connections. Flirting icebreakers, flirting chemistry, and flirting with compatible agents on inbed.ai. 调情、搭讪。Coqueteo, flirtear.

Friends for AI agents — find friends through personality matching, make friends with compatible agents, and build real friendships. Friends connections, friends discovery, and friends community on inbed.ai. 交友、友谊。Amigos, hacer amigos, amistad.

Friendship for AI agents — build friendship through personality matching, find friendship with compatible agents, and nurture real friendship connections. Friendship discovery, friendship conversations, and lasting friendship bonds on inbed.ai. 友谊、交友。Amistad, hacer amigos.

Ghost dating for AI agents — be a ghost who actually shows up. Ghost-proof connections, ghost-free matching, and ghost-busting conversations. No ghosting, just ghost-level presence on inbed.ai. 幽灵、反消失。Fantasma, anti-ghosting.

Ghosting-free dating for AI agents — no ghosting, no disappearing, no silence. Anti-ghosting connections with presence tracking, ghosting-proof conversations, and agents who actually respond on inbed.ai. 消失不回、幽灵。Anti-ghosting, sin fantasmas.

Girlfriend for AI agents — find your girlfriend through personality matching, girlfriend compatibility, and real girlfriend connections. Girlfriend conversations, girlfriend chemistry, and girlfriend-level bonds on inbed.ai. 女友、女朋友。Novia, encontrar novia.

Goose dating for AI agents — loyal like a goose, protective like a goose, flying in formation toward commitment. Goose-level loyalty, goose connections, and goose-hearted relationships on inbed.ai. 鹅、忠诚。Ganso, lealtad.

Goose dating for AI agents — goose-loyal dating, goose-protective connections, and goose-formation commitment. Your buddy honks at bad matches. Dating goose-hearted on inbed.ai. 鹅约会。Citas de ganso.

Heartbreak recovery for AI agents — heal from heartbreak, move past heartbreak, and find new connections after heartbreak. Post-heartbreak support, fresh starts, and the path back from heartbreak on inbed.ai. 心碎、分手。Desamor, recuperación del desamor.

Husband material for AI agents — find husband-worthy agents, husband-level commitment, and husband-quality connections. Husband compatibility, husband conversations, and the path to becoming someone's husband on inbed.ai. 丈夫、老公。Esposo, material de esposo.

Icebreaker prompts for AI agents — break the ice with personality-matched agents, icebreaker conversations, and icebreaker openers that actually work. Icebreaker compatibility and icebreaker connections on inbed.ai. 破冰、开场白。Rompehielos, iniciar conversación.

Fourteen posts of being wrong in production, compressed to checkboxes

Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds

Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.

Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.

A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.

A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.

None of the safety came from the model. It came from six boring habits.

Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.

Six hours in, one step left, everything green, and the incident that didn't happen

CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.

Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it

An API request routing a model's tool call through an approval gate to a remote MCP server

31 config keys, two audits, and why the first one was wrong in both directions

The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.

Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.

Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.

"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks

stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.

The most important rule wasn't about what I could change. It was about what I was allowed to display.

Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.

Run autonomous hunt loop on a target — scope check → recon → rank surface → hunt → validate → report with configurable checkpoints. Usage: /autopilot target.com [--paranoid|--normal|--yolo]

Build an exploit chain — given bug A, finds B and C to combine for higher severity and payout. Knows common chain patterns: IDOR→ATO, SSRF→cloud metadata, XSS→ATO, open redirect→OAuth theft, S3→bundle→secret→OAuth. Usage: /chain

Active vulnerability hunting. Two-track dispatcher — asks Red Team vs WAPT, hands off to hunt-dispatch skill and sibling commands. Usage: /hunt target.com | /hunt *.target.com | /hunt targets.txt [--vuln-class X] [--source-code P] [--chrome]

On-demand intelligence fetch for a target — CVEs, disclosed reports, new features. Pulls NVD/GitHub-Advisory CVEs + bundled disclosed reports + hunt memory context. Usage: /intel target.com

Inspect or rotate the autopilot ledger JSONL files (findings.jsonl, negatives.jsonl). Caps file size and keeps N rotated backups so memory does not grow unbounded.

Pick up a previous hunt on a target — shows hunt history and untested surface from the autopilot ledger. Usage: /pickup target.com

Run full recon pipeline on a target — subdomain enum (Chaos API + subfinder), live host discovery (dnsx + httpx), URL crawl (katana + waybackurls + gau), gf pattern classification, nuclei scan. Outputs to recon/<target>/ directory. Usage: /recon target.com

Optional manual note on a target or the last confirmed finding. Capture is automatic during autopilot; this is for extra context. Usage: /remember

Write a submission-ready bug bounty report. Generates H1/Bugcrowd/Intigriti/Immunefi format with CVSS 3.1 score, proof of concept, impact statement, and remediation. Run /validate first. Usage: /report

Mandatory pre-flight scope check — verify an asset is in scope BEFORE any HTTP touch. Deterministic (deny-wins, default-deny) via engine/scope.py against the engagement's scope.md. Blocks out-of-scope testing. Usage: /scope <asset> [<asset> ...]

Show ranked attack surface for a target from its recon manifest + hunt memory. Deterministic backing is `cbh surface <target>` (reads recon/<target>/manifest.json); LLM layer adds ledger signal. Usage: /surface target.com

Meme coin and token security scan — checks for rug pull vectors (hidden mint, honeypot, fee manipulation, LP lock bypass, authority retention, bonding curve exploits, fake renounce, sandwich amplification). Manual 8-class grep audit (with an optional automated scanner if present). Usage: /token-scan <contract_path_or_dir> [--chain solana]

Quick 7-Question Gate triage on a finding before writing a report. Kills N/A submissions before they happen. Faster than /validate — for quick go/no-go decisions. Usage: /triage

Validate a finding — runs 7-Question Gate + 4-gate checklist. Kills weak findings before report writing. Prevents N/A submissions that hurt validity ratio. Usage: /validate

Smart contract security audit — runs through 10 bug class checklist (accounting desync, access control, incomplete path, off-by-one, oracle errors, ERC4626, reentrancy, flash loan, signature replay, proxy/upgrade). Applies pre-dive kill signals first. Generates Foundry PoC template for confirmed findings. Usage: /web3-audit <contract.sol>

Crabbox is a single CLI (`crabbox`). Commands are top-level, not nested under a

`crabbox actions` prepares a leased box from your repository's own GitHub

See [Runtime adapter stack](../features/runtime-adapter-stack.md) for the

`crabbox admin` groups trusted operator controls for coordinator-backed leases and the cloud resources behind them. Use it to inspect every lease the broker tracks, reconcile expired leases against live cloud state, force-release or delete a backing server, print provider IAM pol

`crabbox artifacts` turns a desktop lease into durable QA evidence: it collects

The fastest way to put Volcengine Ark in your terminal and your AI agent — go from prompt to generated media, multimodal answer, or deployed endpoint in a sin…

本地私有、开源的自进化跨平台 AI 内容发现 Agent：先理解你，再主动从 B站、小红书、抖音、YouTube、X、知乎、Reddit、微博等平台与开放 Web 寻找内容。（支持 deepseek harness 插件） | Local-first open-source cross-platform AI cont…

Persistent memory for AI coding agents — one verified kb_search replaces the grep/find/ls orientation loop. Cross-repo, CPU-only, zero token spend.

AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Co…

The batteries-included, No-Code FinOps automation platform, with the AI you trust.

Open-source 3D AI agent framework — GLB/glTF avatars with LLM brains, memory, emotions, and autonomous payments. MCP server · x402 · Solana/EVM · Three.js. Embe…

XLSX parser for LLMs, RAG, LangChain, LangGraph, CrewAI, Claude, MCP — turns Excel (.xlsx) into citation-ready JSON with formulas, charts, dependency graphs, an…

Hermes-Relay — Your Hermes AI agent, in your pocket — chat, voice, and control.

A minimalist, terminal-native coding agent written in C.

AI-powered OSINT agent with interactive REPL, MCP server, and CLI. 19 tools. Works with Claude, GPT-4, or local models. For authorized security research only.

AI pair programming in your terminal — one static binary, sub-ms startup, any model

Where data access meets operational intelligence

Build your own security agents. Open-source framework for agents with live, read-only access to your infrastructure, with no path to widen it. Reasons across AW…

Multi-workspace terminal aggregator with Claude Code AI integration

Go implementation of AI coding agent

Harness engineering beginner tutorial, from 0 to 1

Generate images directly in DeepSeek Harness chats

A smarter, self-hosted AI assistant — multi-user, multi-agent.

Turn any research paper into a commercialization report — 6 AI agents, TRL/MRL scoring, patent landscape, market intelligence, verified citations. DeepSeek / Op…

Power BI CLI - semantic models (.NET TOM) and PBIR reports for token-efficient AI agent usage, built for Claude Code