LLM Mart Basic
@llm-mart · Joined Jun 2026
Use REUSE when an agent needs file-level licensing clarity instead of guessing from a single top-level LICENSE file. The agent checks compliance, adds or verifies SPDX headers, pulls missing license texts into LICENSES/, and produces a concrete remediation list or SPDX export.
Use Avoid AI Writing when an agent needs a repeatable audit, rewrite, or in-place edit workflow for removing AI writing patterns from draft prose.
Run a repeatable HIG compliance audit over app code before shipping UI changes, then use the findings to guide remediation.
Use Cloudsplaining when an agent needs to flag privilege-escalation paths and overbroad IAM permissions before an AWS policy change reaches production.
Use Retentioneering's Python toolkit, MCP server, and agent skills to run reproducible customer-journey and event-log analytics that agents can validate and cross-check.
Run targeted AWS, Azure, or GCP security and compliance audits when an agent needs actionable cloud findings instead of a generic cloud-security platform overview.
Run CodeBurn locally or as an MCP server so agents can inspect token usage, cost, model mix, project spend, and budget waste across coding tools.
Run a focused security pass on GitHub Actions workflows before merge so token misuse, dangerous permissions, and unpinned actions are caught early.
This ASE skill uses zizmor to audit GitHub Actions workflows and composite actions for security mistakes before they ship. An agent can scan local repos or remote GitHub repositories, flag risky permission scopes and unsafe workflow patterns, and return plain output, GitHub-nativ
Produce a license inventory for Go module dependencies before release, procurement review, or open-source due diligence.
Uses Lynis to run an on-host security audit and turn the findings into a prioritized hardening checklist for an agent or operator. Invoke it when a machine is about to become internet-facing, after base image changes, or whenever you need a quick read on hardening drift instead o
This skill uses OpenClaw's healthcheck workflow to inspect the host running the assistant, surface risky exposure, and turn the findings into a staged hardening plan. It is for operator-style audits with explicit approval gates, not a generic software listing or a replacement for
Use Deptry when an agent needs to verify that a Python project's declared dependencies still match the imports the code actually uses. The agent scans the codebase, flags unused direct dependencies, missing declarations, and transitive imports that only work by accident, then tur
Scan Python requirements and environments for known vulnerable or malicious packages before they move further through delivery or promotion workflows.
Check Python environments and requirements files for published vulnerabilities before shipping, upgrading, or approving dependency changes.
Inspect an SSH endpoint or config for outdated ciphers, key exchange choices, and hardening gaps before exposure or upgrades.
Use GEO SEO Claude when Claude Code should run repeatable AI-search and SEO audits with citability, crawler, schema, platform, and report workflows.
Use Agent QA's CLI and MCP server to author, validate, run, debug, and triage natural-language web and mobile regression tests with persistent test memory and reviewable run evidence.
Use smartcrop when an agent needs to choose a sensible crop automatically instead of center-cropping every image. The workflow scores visual saliency, returns crop coordinates for a target aspect ratio, and hands those coordinates to an image pipeline that renders the final thumb
Auto-Editor is a command-line application that automatically edits video and audio by analyzing loudness, motion, and other signals to cut dead space. It exports to Premiere Pro, DaVinci Resolve, Final Cut Pro, ShotCut, and Kdenlive timelines.
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.
/story-setup
Story setup
为当前项目部署或检查 ZCode 网文 Skills、Commands、Hooks 与 AGENTS.md。
/story-short-analyze
Story short analyze
短篇网文拆文,分析故事核、情绪线、结构和反转。
/story-short-scan
Story short scan
短篇网文扫榜,分析盐言、七猫、黑岩、点众等平台趋势。
/story-short-write
Story short write
短篇网文写作,从目标情绪、反转和小节大纲到正文。
/story
Story
网文工具箱路由入口。根据模糊意图分发到合适的网文 Skill。
/coder-eval-code-review-full
Coder eval code review full
Review the codebase across critical quality axes
/coder-eval-code-review-wf
Coder eval code review wf
Workflow-based 8-axis codebase review — per-axis sub-workflows, adversarial verify, deterministic scoring + rendering
/coder-eval-code-review
Coder eval code review
Run a multi-model code review on uncommitted changes or a described set of files
/coder-eval-create-plan
Coder eval create plan
Create a structured, phased implementation plan for a feature or change in the coder_eval codebase, executable from a fresh session by /coder-eval-implement-plan
/coder-eval-implement-plan
Coder eval implement plan
Implement an approved coder_eval plan phase by phase with risk-scaled per-phase review, then a final code review
/coder-eval-review
Coder eval review
Generate per-task review.json (summary + tags) for a completed run
/evolve
Evolve
Evolve skill files by integrating validated lessons from real usage
/init
Init
Initialize .autocontext/ in the current project for knowledge persistence
/review
Review
Interactively review and curate accumulated project lessons
/setup
Setup
First-run configuration for the autocontext plugin
/status
Status
Show knowledge stats for the current project
/event
Event
Create event materials (flyers, posters, signage) with your organization's branding
/newsletter
Newsletter
Create an HTML email newsletter with your organization's branding
/onepager
Onepager
Create a single-page fact sheet or program overview
/preview
Preview
Launch interactive preview for document editing
VCP 部署在 AI 模型 API 与前端应用之间,是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架,将原本“无状态、无记忆、无工具调用能力”的大语言模型,彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。
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