LLM Mart Basic
@llm-mart · Joined Jun 2026
A source-backed ASE skill for Beekeeper Studio, the SQL editor and database manager for Linux, macOS, and Windows. It fits workflows that need a real client for querying, browsing tables, and working across PostgreSQL, MySQL, SQLite, SQL Server, and other supported databases.
Manage and tag music libraries with beets, the Python-based CLI tool that auto-tags audio files using MusicBrainz metadata. Import, organize, deduplicate, and query your music collection with a powerful plugin system and flexible query language.
Use MemoryBench to run repeatable conversational memory and RAG benchmarks across providers, datasets, judge models, checkpoints, and structured reports.
Benchmark clean and incremental Xcode builds, surface compile and configuration hotspots, and produce an approval-first optimization plan before changing project files.
Compare browser-agent reliability on a repeatable task and anti-bot suite before choosing a stack or claiming progress.
Run a repeatable evaluation suite for browser agents against static web task snapshots instead of judging them from demos or one-off tests.
Run Claude Code, Codex CLI, Gemini CLI, or OpenCode through bounded H100 post-training tasks and compare how well each agent improves a base LLM.
Score deep research agents on benchmark tasks using factual verification, report-quality scoring, and process evaluation before model or workflow changes ship.
Use EnterpriseRAG-Bench to evaluate an enterprise RAG or knowledge-agent system against a realistic synthetic company corpus with answer, recall, and comparative scoring.
Run realistic enterprise-style IT scenarios before trusting an automation agent in production operations.
Run CIS benchmark checks against cluster nodes and control planes when an agent needs a narrow Kubernetes hardening audit, not a general platform listing.
Run a real-task benchmark suite against OpenClaw agents so model or harness changes can be compared before they hit production workflows.
Run structured prompt-injection attack and defense experiments against an LLM-integrated app before production by measuring attack success and testing detection or recovery pipelines.
Run concurrent scripted conversations against a target agent to measure whether it stays on task, responds correctly, and holds up in repeatable test cases.
Better Auth is an open source authentication framework for TypeScript apps. It gives agents a concrete way to wire sign-in, sessions, passkeys, OAuth providers, and plugins into modern web stacks with real package and docs support.
A fast, configurable secrets scanner built by the creator of Gitleaks and backed by Aikido Security. Betterleaks detects leaked passwords, API keys, and tokens in git repositories, directories, and stdin with CEL-based validation and parallelized scanning.
Automates migration from ESLint and Prettier to Biome (formerly Rome) by parsing .eslintrc and .prettierrc configs, mapping rules to biome.json equivalents, and running biome check --apply for bulk reformatting.
Generates Blender Python (bpy) scripts that programmatically create Geometry Nodes modifier trees, using the node_groups API and GeometryNodeTree interface for parametric 3D asset generation.
Put an inline firewall and containment layer in front of agent network traffic, tool calls, and MCP traffic before you trust an agent with local secrets.
Add hard pre-execution guardrails to Claude Code so destructive shell commands are blocked before an agent can run them.
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.
/lookup-config
Lookup config
Search for configuration items (assets) in ConnectWise PSA
/schedule-entry
Schedule entry
Create a schedule entry/appointment in ConnectWise PSA
/search-tickets
Search tickets
Search for tickets in ConnectWise PSA by various criteria
/update-ticket
Update ticket
Update fields on an existing ConnectWise PSA ticket
/search-surveys
Search surveys
Search recent Crewhu surveys, surfacing detractors and promoters
/error-budget
Error budget
Run the reliability scorecard for one service, or every connected service if omitted - error-budget burn rate where an SLO is defined, trend reporting otherwise
/oncall-brief
Oncall brief
Generate the current on-call handoff brief - what's paging, what's escalated without an owner, last-shift history, and known-flaky alerts to watch
/postmortem
Postmortem
Draft a blameless postmortem for a given incident (by ID or name), or the most recent significant incident within a time window
/device-inventory
Device inventory
List all devices at a Domotz-monitored site
/device-lookup
Device lookup
Find a Domotz device by name, IP address, or MAC address
/site-overview
Site overview
Overview of a Domotz site's network health
/check-threat
Check threat
Pull full detail for one Checkpoint Harmony Email detection and the message behind it
/release-quarantine
Release quarantine
Restore quarantined mail to its recipients in Checkpoint Harmony Email, with task polling
/search-quarantine
Search quarantine
Find messages in Checkpoint Harmony Email by sender, subject, attachment hash or quarantine state
/search-threats
Search threats
Sweep security events in Checkpoint Harmony Email by type, state, severity and date range
/campaign-summary
Campaign summary
Get summary of recent phishing and training campaigns from KnowBe4
/group-report
Group report
Get security awareness metrics for a KnowBe4 group
/phishing-results
Phishing results
View phishing campaign results and click rates from KnowBe4
/training-status
Training status
Check training completion status for users or groups in KnowBe4
/user-risk
User risk
Get risk score and risk history for a KnowBe4 user
LLM-powered toolkit for skill analysis, AI interviews, resume scoring, and job structuring. Automates professional skill taxonomy and interview processes with a…
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