LLM Mart Basic
@llm-mart · Joined Jun 2026
Design and audit trustworthy analytics tracking. Use when setting up or fixing GA4, GTM, product events, conversions, UTMs, measurement strategy, or signal validation.
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
Comprehensive API design patterns covering REST, GraphQL, gRPC, versioning, authentication, and modern API best practices
Passthrough proxy for direct access to third-party APIs using managed OAuth connections, provided by [Maton](https://maton.ai). The API gateway lets y
添加和配置第三方 API 中转站供应商到 OpenClaw。当用户需要添加新的 API 供应商、配置中转站、设置自定义模型端点时使用此技能。支持 Anthropic 兼容和 OpenAI 兼容的 API 格式。
查询 API 供应商的余额、用量与可用状态,支持多供应商监控与定时汇报。
查询监控 API 供应商/服务的额度、余额、消耗情况。支持官方供应商(Gemini/xAI/ZAI/Minimax/OpenRouter等)、中转站(AIXN/Provider-A等)、订阅服务(Brave/Tavily/Serper)。触发词:查额度、查余额、API用量、供应商额度、quota、balance、usage、billing。
Use when a durable technical decision was just made in conversation and should be recorded, or when user asks to write/record an ADR (開 ADR / 記個決策 / 這要不要 ADR). Runs a three-gate check FIRST and actively talks the user out of writing one when the decision doesn't qualify — then wr
Use when the user wants to build a consistent-identity LoRA for an original character — defining the character, generating a face/body-consistent multi-angle dataset (via the gpt-image-gen skill for codex image generation), captioning it, doing base-specific homework, training on
Use when the user attended one or more sessions of a conference (with audio recordings + slide photos) and needs help building (1) faithful per-session reconstructions in markdown (slide visuals + speaker transcript with Whisper hallucination annotations), and (2) a downstream re
Use when the user is solving an authorized CTF / lab reverse-engineering challenge focused on Windows application authentication or license-check bypass. Guides triage → static analysis → dynamic experiment planning → bypass verification, with strong evidence discipline and VM sa
Use when the user reports misbehaving software to investigate — a bug, crash, wrong output, flaky behavior, or '為什麼壞掉/不會動/查一下' — and the root cause is not yet established. Enforces building a red-capable reproduction command BEFORE any hypothesis is allowed, then 3-5 ranked falsi
Use when the user wants to AUTHOR an unattended dispatch for either: (1) a goal-driven evaluator-optimizer loop of the GENERATE-AND-SELECT kind (generate candidates → grade against a rubric → iterate by reason-code → keep the best; the human picks the final selection), or (2) a l
Use when the user asks to generate OR edit an image via GPT/Codex (e.g. 「叫 gpt 生圖」「幫我用 gpt 生圖」「gpt 畫一個 X」「幫我去背」「把這張圖的背景去掉」). The skill drafts a Chinese + English prompt pair and waits for explicit approval. After approval it uses the host-native executor: Codex calls its built-in
Use when the user says 先討論 / wants to align on a fuzzy idea before building, or before any non-trivial implementation whose requirements are still ambiguous — interviews the user until shared understanding is confirmed, one question at a time, each with a suggested answer; facts
Use when the user is considering applying to, interviewing with, or accepting an offer from a company and wants due diligence on the company and optionally a specific role. Requires a company name, optionally a job title, then researches current public data, employee reviews, sal
Use when the user wants to test, compare, or choose local Ollama models for their machine. Checks Ollama/GPU state, recommends model sizes from available VRAM, preserves existing benchmark records, pulls only approved models, runs repeatable benchmarks, restores stopped services,
Use when the user wants to lint a repo following the Karpathy LLM Wiki pattern (raw/ + wiki/ + SCHEMA.md / index.md / log.md). The skill detects path, scans wiki pages + schema layer, reports frontmatter gaps, broken in-body links, source traceability breaks, stale claims, orphan
Use when the user wants to turn a Markdown report into a presentation-quality .pptx via interactive design decisions and a reusable hand-coded build script. Drives pre-analysis, global style choices, optional per-slide layout dialogue, python-pptx composition, and optional LibreO
Use when the user wants to lint a Claude Code memory directory (~/.claude/memory or custom path) for index inconsistency, broken cross-links, stale project state, duplicate / conflicting feedback rules, naming violations, frontmatter gaps, and oversized files. Phase 1 is a read-o
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.
/entry-points
Entry points
Identifies state-changing entry points in smart contracts
/scan-apk
Scan apk
Scans Android APKs for Firebase security misconfigurations
/git-cleanup
Git cleanup
Safely analyzes and cleans up local git branches and worktrees, categorizing them as merged, squash-merged, superseded, or active work before deleting anything.
/audit
Audit
Audit a file, directory, or whole repo for insecure default configuration: fallback secrets, default credentials, fail-open switches, weak crypto, permissive access, debug leakage. Parallel sweeps collect candidates, then a refuting verifier traces each one to the security decision it reaches before it is reported.
/semgrep-rule
Semgrep rule
Creates Semgrep rules with test-first methodology
/README
README
This folder gathers the project's 9 slash commands in a single place, plus the sub-procedure files the [Sub-procedure Locations](#sub-procedure-locations) table rosters. **The harness lists every `.md` here as invocable regardless of `user-invocable: false`** (this README is itse
/wiki-discover
Wiki discover
Discover unexpected connections in the LLM Wiki (Memex serendipity).
/wiki-export
Wiki export
Export wiki to merged files for Claude.ai Project Knowledge.
/wiki-graph
Wiki graph
Build the LLM Wiki knowledge graph.
/wiki-ingest
Wiki ingest
Ingest a source document into the LLM Wiki.
/wiki-lint-theme-mapping
Wiki lint theme mapping
Not a slash command — a sub-procedure of [`/wiki-lint`](wiki-lint.md), reached from `contradiction theme --fix`. Invoking it directly runs nothing.
/wiki-lint
Wiki lint
Health-check the LLM Wiki for issues.
/wiki-news
Wiki news
Search for latest news related to the LLM Wiki's key topics.
/wiki-query
Wiki query
Query the LLM Wiki and synthesize an answer.
/wiki-timeline
Wiki timeline
Generate a chronological timeline for an entity or concept in the LLM Wiki.
/wiki-trail
Wiki trail
Create, follow, or list associative trails in the LLM Wiki (Memex trail-blazing).
/burn-rate
Burn rate
Compute the recent 7-day spend trend (burn rate) from daily sessions and per-session cost.
/cost-today
Cost today
Quick total cost plus a per-model one-liner from the dashboard pricing engine.
/top-spenders
Top spenders
List the top N most expensive Claude Code sessions by inline cost.
/audit-config
Audit config
Quick Claude Code config audit — counts per surface (user vs project) and totals.
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