LLM Mart Basic

Use when "create video", "promo video", "video script", "storyboard", "demo video", "product video plan", or need video marketing material. Do NOT use for social media text posts (/content-gen) or landing page copy (/landing-gen).

Use when "extract ideas from YouTube", "index YouTube video", "find startup ideas in video", "analyze YouTube for ideas", "what ideas are in this video", or mining video content for business opportunities. Do NOT use for general YouTube watching or content creation (/content-gen)

Design tool systems for AI agents — core/extended/deferred tiers, eval compute, batch tools, trust metadata. Use when building agent tools, reviewing tool architecture, or reducing tool count.

Researches a company or person and returns actionable sales intel — what they do, recent signals, likely pains, entry angle and talk tracks. Use when the user says "research this company", "who is this prospect", "intel on X before I reach out", or before any outreach, call or pr

Generates batches of ad concepts — headlines, primary text, and visual briefs — organised by angle and awareness level, with per-platform specs for Meta, LinkedIn, X and TikTok. Use when the user asks to "write ads", "give me ad headlines", "create ad variations", "make a visual

Optimizes content to get cited by AI assistants (ChatGPT, Perplexity, Google AI Overviews) and rank in classic SERPs — entity-rich intros, question-shaped H2s, 40-60 word extractable answers, schema.org JSON-LD, llms.txt, internal links, and E-E-A-T signals. Runs in audit or rewr

Gets the books audit-ready: builds the PBC (prepared-by-client) list by area, drafts walkthrough narratives for key cycles (revenue, purchases, payroll), matches auditor samples to support, prepares tie-out schedules, tracks open items with owners and due dates, and drafts respon

Generates a brand kit from a company one-liner — positioning adjectives, a palette with hex codes, usage ratios and do/don'ts, a display+text type pairing with fallback stacks, a voice & tone table (say / never say), a logo brief, and a one-page BRAND.md brandbook other skills co

Prepares a sales call end-to-end — account context, attendee angles, discovery questions, demo focus, pricing guardrails and a one-page cheat sheet. Use when the user says "prep me for my call with X", "I have a demo tomorrow", "meeting with a prospect", or any time a discovery,

Builds a 13-week rolling cash forecast from a bank export, receivables, and payables: opening balance, weekly inflows tagged committed/likely/hopeful, fixed and variable outflows, a lowest-point alert, and runway in weeks — plus three levers (collect faster, cut, delay) whenever

The CEO's right hand — keeps the mission ledger, logs cross-department decisions, runs the weekly review and turns fuzzy founder intent into scoped briefs. Use when the user says "what's in flight", "log this decision", "weekly review", "turn this idea into a brief", or when mult

Persistent filesystem memory across sessions — maintains memory/ with decisions.md, context.md, glossary.md and sessions/YYYY-MM-DD.md, loads and summarizes state at session start, appends decisions and open threads at session end, compacts monthly, and refuses secrets and transi

Runs the month-end close: generates a day-by-day runbook from D-2 to D+5 as CLOSE-<month>.md with an owner matrix, dependency-ordered tasks (subledgers → accruals → reconciliations → flux → lock), numeric flux thresholds, a preparer/reviewer sign-off log, and close metrics such a

Compliance pre-flight for a feature, campaign, or initiative — maps the data and activity involved, checks applicable regimes (privacy/GDPR-style, consumer protection, marketing rules, sector-specific), lists required approvals and notices, builds a gap list with remediation owne

Anti-hallucination protocol for library APIs — resolves the exact installed version from the lockfile, fetches current official docs (Context7 MCP if installed, web fetch otherwise), quotes the doc before writing any code, and pins the version in output. Use when code touches a f

Direct-response copywriting for landing pages, emails, and ads. Picks the right framework (AIDA, PAS, 4U headlines), loads brand voice if a profile exists, builds a 10-variant headline matrix, writes proof-backed body copy toward a single CTA, and pressure-tests every line. Use w

Conversion audit for funnels and pages — a section-by-section friction log (clarity, anxiety, distraction, motivation), heuristic checks (message match, above-the-fold value prop, form cost), an ICE-scored hypothesis backlog, and top-3 A/B test designs with success metrics and mi

Mines reviews, interviews, support tickets and forum threads for voice-of-customer insight — verbatim pains, desires, objections and triggers, clustered into themes with JTBD statements and a message-market map. Use when the user says "analyze these reviews", "what do customers a

Writes personalised cold outreach — first-touch email or DM plus a 3-step follow-up sequence — grounded in real research, with subject-line variants. Use when the user says "write a cold email", "reach out to this prospect", "draft outreach to X", or after account-research produc

Builds a full statement set — P&L, balance sheet, and indirect cash flow — from a trial balance or transaction export, mapping accounts to a standard chart and proving every tie-out in code. Use when the user says 'build a P&L from this trial balance', 'turn this export into fina

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

Your efficient agentic AI coding CLI assistant

AI coding with Aegis governance built into execution: baseline-aware changes, evidence-backed delivery. Free desktop client, your choice of model. 将哲科思维融入 AI 开发…

Android in docker solution with noVNC supported, video recording, mcp server and AI-agent

Your AI assistant, built for the agentic era. Open source and local: talk to it, and it runs your agents, your coding CLIs, your browser and your apps. Windows,…

Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verified executions.

Let Claude Code and other coding agents drive and debug Chrome from the shell. DOM, network, console and raw CDP as short commands, no screenshots and no MCP ne…

Unofficial, agent-friendly Mercadona shopping CLI (Go) — search products, read prices, build a cart and prepare checkout from the terminal. BYO credentials.

Local-first AI canvas for visual workflows, AI short drama, image/video generation, storyboarding and asset management. ComfyUI, AI agents, MCP & Blender. 本地优先…

Let any AI coding tool — Claude Code, Cursor, Codex — drive your real Chrome. One-prompt setup, muscle memory, local-first.

runs anywhere. uses anything

Open-source dots for the web: an AI agent with its own browser, one that does not get blocked.

Free MIT AI coding agent — no API key needed. Built-in free model, or bring Claude, GPT, Gemini, DeepSeek, Ollama +50 more. Swarm mode, 40+ tools, browser & des…

Open-source AI customer support system. AI-first support, human-ready operations.

A durable, multiplayer, mobile-first web app for Pi agents, built on Pi Durable

Embedded Cypher knowledge graph for Python and Rust. Bundled MCP server, describe() schema, and code-graph parser for LLM agents.

Turn PDFs, books and papers into interactive learning webpages｜将复杂材料转化为可追溯、可测验、可做笔记的学习网页

PhysicsOS 是一个面向初高中物理学习的公益可视化智能体，通过 AI 理解题目并结合物理引擎，将抽象物理过程转化为可交互、可观察、可计算、可验证的真实物理场景。