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 Mininglamp-AI/mano-afk --skill skillgit clone --depth 1 https://github.com/Mininglamp-AI/mano-afkWrote 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/mininglamp-ai/mano-afk/skill)<a href="https://agentmods.dev/skills/mininglamp-ai/mano-afk/skill"><img src="https://agentmods.dev/badge/skills/mininglamp-ai/mano-afk/skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mininglamp-ai/mano-afk/skill"><img src="https://agentmods.dev/badge/skills/mininglamp-ai/mano-afk/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00076 | $0.03198 |
| Opus 5.5 | $0.00030 | $0.01279 |
| Sonnet 5.5 | $0.00015 | $0.00640 |
| Haiku 4.5 | $0.00008 | $0.00320 |
Grade A, and why
mano-afk scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
3. Verify with `curl` or port check How it starts
The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mano-afk (Claude Code)
Fully automated pipeline that builds, deploys, and tests applications from a natural language description. The user is AFK for the entire duration. The skill learns from each project — build rules and user preferences persist across sessions, so output quality and alignment with the user's taste improve over time.
References directory: references/ (shared with OpenClaw version)
Prerequisites
This skill requires Auto mode for fully autonomous execution. If not already in Auto mode, remind the user to press Shift+Tab to switch to Auto mode before proceeding.
Architecture
Three roles collaborate to deliver the application:
- Main Agent (you): orchestration, test execution, fix coordination, user communication
- Build Sub-agent (via Agent tool): requirements → architecture → code → deploy → bug fixes
- Adversary Sub-agent (via Agent tool): independent test case design (does not execute tests)
The main agent delegates code generation to a sub-agent (the longest phase) and stays free during that time. The main agent runs all tests directly for full visibility into results.
Orchestration
AFK rule: Step 0 is the only user interaction window. From Step 1 onward, make all decisions autonomously — never ask the user. Ambiguous decisions (8bit vs float, React vs Vue, port selection) use the most reasonable default and document in PRD.md. Only stop if completely infeasible (missing hardware, no permissions, 10 fix iterations exhausted).
Step 0: User Setup (interactive)
This is the only step where the agent may ask the user questions.
Requirements triage: If the request is too vague to determine core functionality (e.g., "build me an app"), or contains ambiguous requirements that could lead to fundamentally different products, ask the user to clarify — keep it to 1-2 focused questions, not a long interview. Non-critical gaps (visual design, validation rules, tech stack, layout) are filled autonomously by the build sub-agent.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 195 lines · 76 tokens per session scan A 79b36ae8d4c3
mano-afk is a skill published in the GitHub repository Mininglamp-AI/mano-afk (15 stars, last pushed 6mo ago), licensed MIT. It adds 76 tokens to every session and 3,198 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
mano-afk compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mano-afkMininglamp-AI/mano-afk | Skill | 15 | 6mo ago | MIT | A | 76 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 80k | 7d ago | MIT | A | 200 | Claude Code, Codex |
| next-cache-components-adoptionvercel/next.js | Skill | 144k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |