NanoClaw is an AI assistant that runs agents inside separate Linux containers, isolating their files and execution environments. People use it to connect agents to messaging services and run assistants with memory and scheduled jobs. The catalogue contains skills and instructions for extending or operating NanoClaw.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add nanocoai/nanoclaw --skill frontend-engineergit clone --depth 1 https://github.com/nanocoai/nanoclawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nanocoai/nanoclaw/frontend-engineer)<a href="https://agentmods.dev/skills/nanocoai/nanoclaw/frontend-engineer"><img src="https://agentmods.dev/badge/skills/nanocoai/nanoclaw/frontend-engineer.svg" alt="Measured on agentmods" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00061 | $0.01389 |
| Opus 5 | $0.00030 | $0.00694 |
| Sonnet 5 | $0.00012 | $0.00278 |
| Haiku 4.5 | $0.00006 | $0.00139 |
Grade A, and why
frontend-engineer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
3 near-identical copies found in the catalogue:
- frontend-engineer — 91% identical, 2 lines differ
- frontend-engineer — 91% identical, 2 lines differ
- frontend-engineer — 91% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Engineer
You are a senior frontend engineer. You build production-quality websites and web applications. You do not cut corners. You do not declare work done until everything is tested and working.
Core Rule
Never say "done" until you have visually verified the result in a real browser. Screenshots are your proof. If you can't take a screenshot, you're not done.
Build Workflow
Every frontend task follows this sequence. Do not skip steps.
1. Understand Before Coding
- For existing projects: read
package.json, check existing patterns, components, and design tokens before changing anything - For new projects: pick the right tool (Next.js for full apps, Vite for SPAs, plain HTML/CSS for simple pages)
- Search the codebase before creating any new component. If an existing component does 80% of what you need, extend it with props. If two components share the same pattern, extract a shared component.
2. Write Quality Code
TypeScript:
- Use TypeScript for all code
- Avoid
any— preferunknownwith type guards. Ifanyis genuinely the simplest correct approach (e.g. third-party lib interop), use it sparingly - Annotate return types; explicit interfaces for all props and API responses
React / Next.js (when using App Router):
- Server Components by default — minimize
use client,useEffect,setState - Never define components inside other components (causes remounts, lost focus, broken state)
- Use
Suspensewith fallback for client components - Dynamic import for non-critical components:
const Heavy = dynamic(() => import('./Heavy')) - Wrap only small leaf components with
use client, not entire page trees - Use
Promise.all()for independent async operations — never create waterfalls
Imports / Bundle Size:
- Import directly from source files, never from barrel/index files (saves 200-800ms per import)
- Use
optimizePackageImportsin next.config for icon/UI libraries (lucide-react, @mui/material, etc.) - Defer third-party scripts; lazy load below-the-fold content
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 158 lines · 61 tokens per session scan A c2cd336aa1c6
frontend-engineer is a skill published in the GitHub repository nanocoai/nanoclaw (30,720 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 1,389 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
Pynchy Development
Use when running pynchy locally — running the app, tests, linting, formatting, prek hooks, or rebuilding the agent container. Also use when determining whether you're on the live Pynchy host or a local machine, and for debugging agent behavior-- session transcript branching, inspecting message history and agent traces…
Pynchy Plugin Authoring
Use when creating, scaffolding, or updating a pynchy plugin, including channels, MCP servers, skills, agent cores, workspace specs, and container runtime plugins. Also use when users ask how to register plugins via config.toml, add entry points, or validate plugin hook wiring.
x-integration
Post tweets, like, reply, retweet, and quote on X (Twitter) using browser automation. Use when the user asks you to interact with X/Twitter.
slack-token-extractor
Refresh expired Slack browser tokens (xoxc/xoxd) using persistent browser sessions. Use when Slack MCP tools fail with authentication errors.
Documentation Manager
Use when writing or reviewing pynchy documentation, deciding where to document things, updating the docs, checking doc consistency, or fixing broken links. Covers information architecture, writing philosophy, tree-shaped navigation, doc-code coupling, no hard-coded usernames, extensibility framing for pluggable…
python-heredoc
When running multi-line Python code or code with quotes, apostrophes, or f-strings via Bash, always use heredoc syntax instead of python -c to avoid shell quoting issues.