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 naveedharri/benai-skills --skill agentic-os-standalonegit clone --depth 1 https://github.com/naveedharri/benai-skillsWrote 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/naveedharri/benai-skills/agentic-os-standalone)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/agentic-os-standalone"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/agentic-os-standalone/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/naveedharri/benai-skills/agentic-os-standalone"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/agentic-os-standalone.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 | $0.00165 | $0.03520 |
| Opus 5 | $0.00082 | $0.01760 |
| Sonnet 5 | $0.00033 | $0.00704 |
| Haiku 4.5 | $0.00016 | $0.00352 |
Grade C, and why
agentic-os-standalone scanned grade C with 2 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 12d 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.
Harvests environment variableshighData exfiltration
Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.
## Pre-flight (collect credentials BEFORE asking discovery questions) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
After deploy, sanity check: `curl -sI -u user:pass <url>/profile/<Name>` should return 200. How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic OS — Standalone web dashboard
Packages a Next.js 14 dashboard wired to the Claude Agent SDK + up to 7 platform integrations, plus an optional Railway deployment path. The template ships as references/standalone/template.tar.gz (packed because the Next.js dynamic-route folders use [name]/[id] paths that some plugin installers reject — extract it before use, see Step 3) and contains no secrets. Substitutions and live credential probes are the skill's job.
The dashboard's conceptual model: a per-profile dashboard, a button-bar of actions, and snapshot-style data refreshes — backed by JSON snapshots and deployable as a real web app.
Want a markdown-native dashboard inside an existing Obsidian vault with no server instead? That's the Obsidian route — use the
agentic-os-obsidianskill.
Audience
The user is a founder, operator, or marketer — NOT a developer. Keep language plain. Never say "MCP", "snapshot prompt", "stdio transport", "TypeScript type" out loud. Say "platform", "data refresh", "your YouTube channel", "the dashboard's settings file".
Internally you still operate on those technical concepts. The user just shouldn't have to read jargon.
What you produce
By the end the user has:
- A new project folder at the path they chose, customized for their org and team.
- Every integration they wanted connected AND probed (a real test call landed).
- The dashboard running locally on http://localhost:3015, OR live on a Railway URL with HTTP basic auth.
- A summary of what works, what they deferred, and how to add the deferred ones later.
- An iteration loop after first-run — the skill keeps going to help them personalize tabs, rename things, change what each refresh pulls, swap colors, add new sections.
Pre-flight (collect credentials BEFORE asking discovery questions)
Two keys gate everything else. Get them upfront so the user isn't surprised mid-flow:
- Anthropic API key. Required. Powers every refresh. "Head to console.anthropic.com → API Keys → create one and paste it here." Store as
ANTHROPIC_API_KEY. - Railway token (only if deploying today). Ask: "Do you want to put this online today, or just try it on your laptop first?" If online: have them run
railway loginin their own terminal (browser flow), thenrailway whoamito confirm. Don't store the token — Railway's CLI keeps it locally.
What ships with it
3 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.
- 12d ago First seen · 228 lines · 165 tokens per session scan C 85ea3925ebf0
agentic-os-standalone is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed 8d ago), licensed MIT. It adds 165 tokens to every session and 3,520 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it C with 2 findings (harvests environment variables, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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