LLM Mart Basic
@llm-mart · Joined Jun 2026
Use this skill when you need AI-assisted testing workflows such as test data generation, root-cause analysis, and prioritization; triggers include AI-assisted testing and AI for QA.
Use this skill when you need to test an AI-enabled product feature for behavior, safety, and user-impact boundaries; triggers include AI feature testing.
Use this skill when reviewing AI-generated unit, functional, API, or end-to-end tests for false confidence, weak assertions, missing risks, or unsafe test behavior; triggers include AI-generated test review and functional test review.
Use this skill when you need evidence-bounded safety policy, abuse categories, refusal/redirect behavior, privacy, escalation, and Human risk decisions; triggers include AI 安全 and AI safety.
Use this skill when you need to verify API contract compatibility, consumer expectations, and schema change risk; triggers include API contract testing.
Use this skill when an API, OpenAPI, or consumer contract needs a quality review before implementation or versioning; triggers include API design review, contract readiness review, and consumer compatibility audit.
Use this skill when you need to review API error shape, status, code, and disclosure behavior against sourced contracts; triggers include API 错误契约测试 and API error contract testing.
Use this skill when you need to assess API retry and duplicate-request behavior against sourced side-effect evidence; triggers include API 幂等性测试 and API idempotency testing.
Use this skill when you need to design evidence-bounded API failure and rejection scenarios; triggers include API 负向测试 and API negative testing.
Use this skill when you need to design API pagination scenarios from ordered data and cursor or offset evidence; triggers include API 分页测试 and API pagination testing.
Use this skill when you need to design evidence-bounded API quota, burst, and recovery scenarios; triggers include API 限流测试 and API rate limit testing.
Use this skill when you need to compare API schemas with sourced request and response evidence; triggers include API Schema 校验 and API schema validation.
Use this skill when you need evidence-bounded api-security-testing analysis and validation preparation; triggers include API 安全测试 and api-security-testing.
Use this skill when you need to parse multi-format API definitions and generate Bruno collections for executable regression; triggers include Bruno collections and Bruno API testing.
Use this skill when you need to design Postman collections, environments, scripts, and Newman-ready API regression plans; triggers include Postman API testing, API testing, and api-test-postman.
Use this skill when you need to parse multi-format API definitions and generate Pytest API automation; triggers include Pytest API tests and API automation with Pytest.
Use this skill when you need to parse multi-format API definitions and generate Rest Assured Java test classes; triggers include Rest Assured, RestAssured, and Java API automation.
Use this skill when you need to parse multi-format API definitions and generate executable Supertest scripts; triggers include Supertest, Node.js API testing, and Supertest automation.
Use this skill when you need to assess API version compatibility from old-client, new-server, and deprecation evidence; triggers include API 版本兼容性测试 and API version compatibility testing.
Use this skill when you need evidence-bounded authentication-testing analysis and validation preparation; triggers include 身份认证测试 and authentication-testing.
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.
Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.
An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.
Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.
/monthly
Monthly
The monthly structural review
/orphans
Orphans
Find unreachable pages
/outline
Outline
Outline a piece from your concept pages
/privacy
Privacy
Audit what should not be in the vault
/project-status
Project status
Where a project stands
/project
Project
Create a project
/prune
Prune
Find what is safe to remove
/publish
Publish
Check what is safe to publish
/quiz
Quiz
Test yourself on your own pages
/rename
Rename
Rename a page and fix every link
/report
Report
Write a research report
/retype
Retype
Fix a page's type
/review
Review
Periodic review of what the vault learned
/rollback
Rollback
Undo the last run
/schedule
Schedule
Set up scheduled maintenance
/schema
Schema
Check frontmatter against the schema
/scope
Scope
Pull knowledge into a project
/secrets
Secrets
Scan for credentials
/sources
Sources
Show what a claim rests on
/split
Split
Split an overloaded page
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