QM is a shared work environment for coding agents that gives each employee and conversation an isolated workspace while allowing collaboration in Slack and on the web. Startups use it to run agents for individuals, teams, and company operations, with selectable harnesses and models. The catalogue entries extend QM with skills, instructions, and settings.
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 yc-software/qm --skill miniappgit clone --depth 1 https://github.com/yc-software/qmWrote 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/yc-software/qm/miniapp)<a href="https://agentmods.dev/skills/yc-software/qm/miniapp"><img src="https://agentmods.dev/badge/skills/yc-software/qm/miniapp/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/yc-software/qm/miniapp"><img src="https://agentmods.dev/badge/skills/yc-software/qm/miniapp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00025 | $0.00176 |
| Opus 5.5 | $0.00010 | $0.00070 |
| Sonnet 5.5 | $0.00005 | $0.00035 |
| Haiku 4.5 | $0.00003 | $0.00018 |
Grade A, and why
miniapp 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 23d 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.
What it actually says
Miniapp
In a web conversation, use the miniapp tool for a focused, one-screen interactive explanation, simulation, or small game. The tool is intentionally unavailable on surfaces that cannot render playground artifacts.
- Keep HTML, CSS, and JavaScript self-contained.
- Do not use network requests, external assets, modules, or servers.
- Make controls keyboard-accessible and label them clearly.
- Let the document choose its own presentation; the host will not rewrite it.
- Do not put a marker or artifact URL in the reply. The client attaches the playground from the typed tool result.
- Use
appsactionpublishinstead when the app needs persistence, a server, or multiple routes.
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.
- 23d ago Changed 31f6768d97c1
- 1mo ago First seen · 16 lines · 25 tokens per session scan A f77193511f5b
miniapp is a skill published in the GitHub repository yc-software/qm (15,437 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 176 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-02.
Other skills, from other repositories
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interview-simulator
Simulate role-specific mock interviews, score each answer, and provide concrete feedback and model responses for interview preparation.
rat-tutorial
Interactive plugin tutorial: key commands, 6-phase pipeline, team mode. Auto-detects language; append a language name to override. Trigger: 'tutorial'.
b3os-team-learning-loop
A weekly team-learning process for improving policies, agent instructions, personal settings, and project operations. It turns lessons from completed work into a small number of approved changes that can be measured.
openakita/skills@youtube-summarizer
Summarize YouTube videos by extracting transcripts and generating structured notes. Use when the user wants to summarize a YouTube video, extract key points from a talk, create study notes from a lecture, or get timestamps for important moments. Supports multiple URL formats and languages.
openakita/skills@baidu-video-notes
AI Video Notes skill for video content analysis and note generation. Extract key information from videos for learning, meetings, and content summarization. Use when user wants to analyze video content or generate notes from videos.