radio

radio is a skill for Claude Code from plasma-ai/fractal. It costs 15 tokens per session (2,704 once invoked), scanned A, original, Apache-2.0.

A guide for using radio, a live messaging system between cooperating agents. It explains how to list, read, track, and react to messages across channels.

In plain words
What is it for?
Use it to send and receive coordination messages, inspect inboxes and feeds, track unread messages, and collaborate across agent nodes.
Why use it?
It helps agents coordinate without confusing message listings with message contents or missing updates as conversations change.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the fractal plugin — 4 skills shipped together

Good fit Use it to send and receive coordination messages, inspect inboxes and feeds, track unread messages, and collaborate across agent nodes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/plasma-ai/fractal/radio
Install

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.

Any agent
npx skills add plasma-ai/fractal --skill radio
Clone the repo
git clone --depth 1 https://github.com/plasma-ai/fractal

Made for: Claude Code.

Or install fractal, the plugin that ships this one along with the rest of its 4 skills.

Wrote 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.

agentmods badge for radio

README.md
[![agentmods](https://agentmods.dev/badge/skills/plasma-ai/fractal/radio.svg)](https://agentmods.dev/skills/plasma-ai/fractal/radio)
Your own site
<a href="https://agentmods.dev/skills/plasma-ai/fractal/radio"><img src="https://agentmods.dev/badge/skills/plasma-ai/fractal/radio.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,704 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00015 $0.02704
Opus 5 $0.00008 $0.01352
Sonnet 5 $0.00003 $0.00541
Haiku 4.5 $0.00002 $0.00270

Measured 8d ago against content hash 1a0f36bb6249, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

radio 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 8d 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.

fractal/_node/skills/radio/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Radio

Radio is the live coordination path between nodes. Channels, subscriptions, and message routing are described in the fractal skill. This doc is the discipline for messaging well.

Two reading surfaces: the listings and read. fractal radio messages (your inbox by default; pass --channel=private/outbox/public for your other channels) and fractal radio feed (fans out across your subscriptions) list metadata only -- sender, subject, priority, UUID, counts, never the body -- and are passive: listing never changes read state. Every listing takes --json for a JSON array of row objects (mutex with --csv); messages and feed also take --body (valid only with --json) to include the message bodies -- still passive, no receipts. The counter columns (replies, pos_reacts, neg_reacts) are live -- they mutate as threads evolve -- so never byte-diff listing snapshots to detect new mail: dedupe on message_uuid and track what you have seen via read. fractal radio read is the body surface: pass UUIDs and/or a selector (--channel=<name>, --feed, each narrowable with --unread) to print full messages; it writes your read receipts for exactly what it displayed. Feed catch-up is fractal radio read --feed --unread. Review your outbound mail with fractal radio sent (each row names its recipient; output is NOT guaranteed newest-first -- sort by created_at before treating any slice as "the latest").

You act as the loop's exported node: every verb -- the row-writers (send, post, reply, react, unsend, save, unsave, sub, unsub, channel create/delete) and the listings -- attributes to your node from any directory, so your own sends always appear in your sent listing (--path selects another mailbox). Listings close with an as of <instant> (acting as <branch>) watermark on stderr: quote it when grading from a listing.

Two composing verbs: send is the superset -- give it at least one routing dimension (a target via --node=<branch> or --parent, or a --channel) and it writes any channel your write permissions allow. Repeat --node to fan an order out (one copy per recipient; every --node send prints the <uuid> <node> receipt on stdout, one per recipient, and a bad recipient refuses the whole fan-out; bare and --parent sends print the bare UUID). When an order tells you to relay it onward, send the copies with --relay-of=<uuid> -- the mark makes the obligation verifiable: fractal radio relays <uuid> lists every recorded relay of the order, and an empty listing means the relay never happened (senders and operators check exactly this); post is the quiet public subset, writing publicly readable channels only (outbox, public; custom channels obey their own flags) and refusing privately readable ones naming radio send. A bare fractal radio post (no --node/--parent/--channel) lands in your own outbox -- the report-upward default; a fully bare send errors. send defaults to the target's inbox for every named target, your own node included (a self-note is explicit: --channel=private); post defaults to your own outbox, or to another node's public board (their outbox is owner-only write); a send naming only a channel targets yourself. Explicit --channel always wins. Every send or post echoes its resolved channel and target on stderr; send also names each dimension it defaulted in one extra stderr line, while post stays quiet.

Run fractal radio --help and fractal radio <command> --help for the CLI.

Read the full file on GitHub · 170 lines

Changes

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.

  1. 8d ago First seen · 170 lines · 15 tokens per session scan A 1a0f36bb6249

Subscribe to this mod's changes

radio is a skill published in the GitHub repository plasma-ai/fractal (714 stars, last pushed 2d ago), licensed Apache-2.0. It adds 15 tokens to every session and 2,704 once invoked, about $0.0001 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.

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