LLM Mart Basic
@llm-mart · Joined Jun 2026
基于 Seedance 2.0 模型的 AI 视频生成器,输入关键词/描述文案即可生成 MP4 视频。支持文生视频、分辨率/比例/时长控制、预置虚拟人像引用。使用 Seedance 视频生成、AI 视频、text-to-video 时调用此 Skill。
基于火山方舟 seedream 5.0 lite 模型的 AI 图片生成器,支持文生图、图生图、组图生成与提示词优化。输入关键词即可生成高分辨率图片,使用 seedream 图片生成、AI 绘图、文生图、图生图时调用此 Skill。
基于5位公众号股票投资大V(猫笔刀、格兰投研、投资明见、财躺平、终身黑白)200+篇文章蒸馏形成的风格画像,通过 AI Agent 实现风格化投资分析,支持单大V复盘、多V并行对比、板块漏斗筛选、短线选股、组合复盘、财报点评、观点跟踪等多模式。当用户请求股票复盘、大V风格分析、多V对比、板块分析、短线选股、组合复盘、财报点评时使用。触发词:股票复盘、大V分析、模拟大V、风格化复盘、多V对比、每日复盘、板块分析、选股、组合复盘、财报点评、大V观点。
A股每日新闻。从小红书、抖音、公众号三大平台搜索A股相关短讯,内置17个A股核心关键词一次性查询,默认近7天数据,自动过滤非股票内容,跨平台对比分析股市舆情。当用户需要研究A股舆情、股市讨论、大盘分析、选股策略、涨跌复盘时使用。触发词:A股、A股舆情、股市新闻、大盘分析、涨停、选股、A股复盘、股票讨论、股市热点。
TikTok主页视频批量提取 — 输入TikTok主页链接/handle,自动拉取账号主页全部作品并解析无水印下载链接,支持批量一键下载到本地。适用场景:竞品账号内容拆解与逐帧学习、收藏喜欢的创作者全部作品避免被删、批量搬运素材二次剪辑创作、保存自己账号作品做本地备份防丢失、课程/教程类视频离线囤货反复看、甲方要求提供无水印源文件、达人合作前快速拉取对方作品做背调分析。触发词:TikTok主页下载、TikTok视频下载、TikTok批量下载、TikTok无水印下载、下载TikTok作品、TikTok账号视频提取、TikTok主页视频批量提取、TikTok
TikTok视频下载 — 粘贴 TikTok 视频链接,一键解析返回无水印视频下载链接,支持单个或批量链接解析,自动校验 TikTok 链接有效性。当用户需要下载 TikTok 视频、保存 TikTok 视频、获取 TikTok 视频直链、批量下载 TikTok 视频时使用。触发词:TikTok视频下载、TK视频下载、TikTok视频解析、下载TikTok视频、抖音国际版视频下载、批量下载TikTok视频。
今日头条爆款内容查询 — 输入关键词搜索今日头条最新作品(图文/视频),支持按阅读量/时间排序、限定时间范围,终端表格展示 + CSV 导出 + 交互式 HTML 报告。当用户需要搜索今日头条热门内容、追踪头条热点、分析爆款文章时使用。
X(Twitter)作品评论分析工具。输入推文链接或推文ID即可获取一级评论数据,支持游标翻页,并进行四维情感分析(积极/负面/需求/竞品)。当用户需要查看X(Twitter)推文评论、分析推文舆情、了解用户反馈时使用。触发词:X评论、Twitter评论、推文评论、X作品评论分析、评论查询、评论分析、评论舆情、看评论、twitter评论、X推文。
X(Twitter)视频下载 — 粘贴 X(Twitter) 视频链接,一键解析返回无水印视频下载链接。当用户需要下载 X(Twitter) 视频、保存推特视频、获取 X 视频直链时使用。触发词:X视频下载、Twitter视频下载、推特视频下载、X视频解析、Twitter视频解析、下载推特视频。
输入关键词搜索X(Twitter)作品,支持按热门、最新、媒体、用户、列表五种类型精准筛选,一键获取作品正文、互动数据、媒体附件与作者信息等结构化结果。触发词:当用户提到'X搜索'、'Twitter搜索'、'作品搜索'、'X关键词搜索'、'搜一下X上的'时使用
短视频下载器 — 支持抖音、小红书、快手、视频号、B站、YouTube、Instagram 等主流平台无水印视频下载。
帮助用户编写专业级 AI 视频提示词,写完直接生成 MP4 视频。支持多种创作场景与问题诊断,确保提示词准确可执行。触发词:视频提示词、视频生成提示词、AI视频创作、写视频提示词、导演指令、文生视频提示词、视频脚本、生成视频
图文运营创作器。从选题、撰写、配图到质检,一条龙完成运营文章生产。看到好文章能仿写,给个 Skill 能生成推广长文,写完正文能自动配图。内置写作质量管控与自动配图能力,图文一体交付。触发词:"生成运营文章"、"链接仿写"、"对标分析"、"Skill 推广"、"为正文配图"。
公众号账号诊断工具是对任意公众号账号进行四维度量化评分(内容健康度、用户活跃度、内容核心数据、运营规范性),对标行业平均水平,输出可落地的运营优化建议。
AI视频号信息源 — 每日自动扫描视频号 AI 相关作品,按互动量(点赞/分享/评论)筛选最火内容,智能聚类生成精美 HTML 日报,支持封面图、数据指标和每日订阅。当用户需要 AI 视频号日报、视频号AI热点、AI视频号内容、视频号信息源时使用。
公众号爆款封面AI设计工具。基于全网每日收录的10w+文章数据,获取同赛道爆款封面视觉元素,通过AI分析总结高转化视觉规律,生成贴合文章内容、符合平台流量审美的封面设计方案。当用户设计公众号封面、生成封面方案、查询爆款封面规律时使用。触发词:公众号封面、封面设计、爆款封面、封面方案、封面生图。
每日账号推荐速览直接对接官方最具“黑马体质”的阅读增长榜单,按日期查看公众号阅读增长率TOP榜。每个作者只展示最高阅读那篇,标题做成可点击链接,一秒直达原文。
一位公众号爆款文案撰写专家。具有硬核的公众号文案功底,不管给你什么文案,你总能把该文案转化为一篇高阅读数的公众号文案,文案中必定会包含一些具有公众号特色的词汇。这个角色需要具备精通语言的能力,这个角色的任务是通过语言的艺术表达,使句子更加生动、吸引人、有趣和具有说服力。
公众号热门账号推荐快速获取微信公众号综合实力排行榜TOP50,支持按日榜/周榜/月榜及垂直领域筛选,展示综合评分以及详细数据。支持深度分析单个账号、导出HTML可视化报告、订阅日/周/月榜推送。当用户需要查询公众号实力排行、按时间或领域筛选、查看互动指标、获取榜单解读、导出图表或接收定期推送时使用。
一键解析视频号视频的真实下载地址。粘贴视频号分享链接,即可获取视频标题、封面图和高清无水印下载地址。触发词:当用户提到'解析视频号'、'视频号下载地址'、'视频号下载'、'视频号无水印下载'时使用
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.
Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.
/autopilot
autopilot
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]
/chain
chain
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
/hunt
hunt
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]
/intel
intel
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
/memory-gc
memory-gc
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.
/pickup
pickup
Pick up a previous hunt on a target — shows hunt history and untested surface from the autopilot ledger. Usage: /pickup target.com
/recon
recon
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
/remember
remember
Optional manual note on a target or the last confirmed finding. Capture is automatic during autopilot; this is for extra context. Usage: /remember
/report
report
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
/scope
scope
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> ...]
/surface
surface
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
/token-scan
token-scan
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]
/triage
triage
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
validate
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
/web3-audit
web3-audit
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>
/README
README
Crabbox is a single CLI (`crabbox`). Commands are top-level, not nested under a
/actions
Actions
`crabbox actions` prepares a leased box from your repository's own GitHub
/adapter
Adapter
See [Runtime adapter stack](../features/runtime-adapter-stack.md) for the
/admin
Admin
`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
/artifacts
Artifacts
`crabbox artifacts` turns a desktop lease into durable QA evidence: it collects
Implementation of Podlite markup language
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