StarNet is a local-first desktop harness for creating AI agents and arranging them in a pixel-art space station whose layout represents their capabilities, permissions, and workflow. It lets people run real model calls and tools through multiple bounded agents, using their own provider keys or accounts and optionally messaging the station through chat services. The catalogue entries are skills that extend or support work performed by StarNet agents.
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 androoAGI/starnet --skill line-designgit clone --depth 1 https://github.com/androoAGI/starnetWrote 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/androoagi/starnet/line-design)<a href="https://agentmods.dev/skills/androoagi/starnet/line-design"><img src="https://agentmods.dev/badge/skills/androoagi/starnet/line-design/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/androoagi/starnet/line-design"><img src="https://agentmods.dev/badge/skills/androoagi/starnet/line-design.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 | $0.00037 | $0.01016 |
| Opus 5.5 | $0.00015 | $0.00406 |
| Sonnet 5.5 | $0.00007 | $0.00203 |
| Haiku 4.5 | $0.00004 | $0.00102 |
Grade A, and why
line-design 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A line is standing work the station runs unwatched: a job lands in the INBOX, rides the belts through BAYS, and leaves at the OUTBOX. Each bay is one agent doing one step from one brief. A line scheduled untested fails at 3 a.m. with nobody there — so the design ends with a test, never with the schedule.
You design and verify; the Commander builds. station.layout is read-only: bays, belts, briefs and schedules are placed in REFIT (Build mode) through the Workflow panel.
Method
- Read the floor first (station.layout). The lines that exist, whether routing is live, whether automation is stopped (E-STOP), bays on no line, who holds which workstation. Extend an existing line before proposing a new one.
- Name the job and the finished output in one sentence each. "Every weekday: this week's research on X in, a 200-word sourced brief out." If the output is vague, the line has nothing to converge on.
- Cut the stages. A stage earns a bay only when it needs a different skill, different gear, or an independent check. Common shapes: RESEARCHER → WRITER → REVIEWER, or ENGINEER → TESTER. The LINE BUDGET caps stages after the first (6 by default); fewer bays cost less.
- Name each handoff before any brief. For every belt, state what crosses it — "bullet notes with links", "a 200-word draft". That phrase goes in the bay's HANDS OFF field, and the next brief is written against it. A handoff you cannot name is a seam you have not found.
- Write each brief as a standing order for arriving work. The DOES field (up to 2000 characters): what the bay receives, what it does, the output shape, and what to do when the input is thin — say so, never invent.
- Add a loop only with a real verdict. A reviewer bay before a LOOP gate ends its output with
VERDICT: approvedorVERDICT: reviseplus what to fix; the gate reads only the last three non-empty lines. Set max tries and an escalation lane (a FIXER bay) so a draft that never passes still goes somewhere. - Check gear per bay. Each bay's agent needs an assigned workstation in that room (no workstation, no compute) plus the props its step uses — a DISH for web, an INTEL CAB for files. station.layout with
lineset shows each bay's tools. - Hand the Commander a build sheet. One row per bay: role, agent, DOES, HANDS OFF, gear. Then gates, OUTBOX, and the INBOX trigger (schedule, channel, watched folder or webhook).
- Test cheapest first. The test controls are the Commander's to press; ask in this order. WATCH IT is free — a crate rides the belts and each machine says what it would do. Then TEST THIS STEP on bay 1 with a realistic test job (one real run, real cost), carrying each output forward bay by bay — or STEP THROUGH, which pauses at every handoff and delivers nothing. RUN ONE REAL JOB last: end to end, into the OUTBOX. Fix the brief behind any bad output and retest that bay.
- Only then schedule it. The schedule is saved on the INBOX and fires only while scheduling is on (TURN SCHEDULING ON). routine.create schedules one agent, not a line.
What ships with it
1 file 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 · 40 lines · 37 tokens per session scan A f2d3fd147a18
line-design is a skill published in the GitHub repository androoAGI/starnet (1,468 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 1,016 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 2026-10-04.
Other skills, from other repositories
Review a GitHub PR (via gh)
Review a specific GitHub pull request with gh — fetch the diff, fan out reviewers, consolidate, and optionally post the review. Requires the gh CLI or the GitHub MCP server.
Implement (multi-agent loop)
Orchestrate an implement -> review -> fix loop with subagents until reviewers sign off.
Best of N (parallel attempts)
Delegate N parallel subagents on the same task, then pick the best result.
Check work (verify against criteria)
Verify an implementation against acceptance criteria with a reviewer and a tester.
Commit (clean, conventional)
Stage the right changes and write a clear, conventional commit message.
Design doc (write -> review loop)
Draft a design document and iterate writer/reviewer subagents until consensus.