channel-updates

channel-updates is a skill for Claude Code, Codex from androoAGI/starnet. It costs 36 tokens per session (742 once invoked), scanned A, original, MIT.

A way to build a trusted list of recurring charges, including their cost, renewal timing, and cancellation details. It checks statements, receipts, and optionally connected email for subscriptions and trials.

In plain words
What is it for?
Use it to review subscription spending, identify charges to investigate or cancel, and prepare a list of recurring payments without cancelling or paying anything automatically.
Why use it?
It makes hidden renewals, price increases, duplicate services, unused products, and trials nearing payment easier to spot. It also calculates the monthly total from recorded charges rather than guesses.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review subscription spending, identify charges to investigate or cancel, and prepare a list of recurring payments without cancelling or paying anything automatically.

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Install with agentmods
npx agentmods add skills/androoagi/starnet/channel-updates
About the project

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.

androoAGI/starnet · 1,468 stars · on GitHub

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 androoAGI/starnet --skill channel-updates
Clone the repo
git clone --depth 1 https://github.com/androoAGI/starnet

Made for: Claude Code, Codex.

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 channel-updates

README.md
[![agentmods](https://agentmods.dev/badge/skills/androoagi/starnet/channel-updates/github.svg)](https://agentmods.dev/skills/androoagi/starnet/channel-updates)
Your own site
<a href="https://agentmods.dev/skills/androoagi/starnet/channel-updates"><img src="https://agentmods.dev/badge/skills/androoagi/starnet/channel-updates/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.

agentmods 80×15 button for channel-updates

Your own site · 80×15
<a href="https://agentmods.dev/skills/androoagi/starnet/channel-updates"><img src="https://agentmods.dev/badge/skills/androoagi/starnet/channel-updates.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 742 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.
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 $0.00036 $0.00742
Opus 5.5 $0.00014 $0.00297
Sonnet 5.5 $0.00007 $0.00148
Haiku 4.5 $0.00004 $0.00074

Measured 12d ago against content hash 6ca849c2551e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

channel-updates 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.

skills-catalog/skills/channel-updates/SKILL.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

An update on a phone is read in five seconds between other things. It either tells the Commander something they needed, or it teaches them to mute the station. Most runs should not ping.

When NOT to ping

  • Nothing crossed the bar the Commander set. In a routine, reply exactly [SILENT] — a silent run delivers nothing.
  • The Commander is talking to you in COMMS right now. Answer there.
  • It is progress, not an outcome ("started", "still working") — unless they asked for progress.
  • The same news already went out. One change, one message.
  • You are not sure it is true. Verify first; a wrong alert costs more than a late one.

Method

  1. See who you can reach (channel.targets). It lists the chats a person has actually opened with this station, their channel, the agent each is bound to, and whether it is connected right now. You cannot message a new id, number or channel name — reach is widened by a person opening a chat, never by you.
  2. Lead with the outcome. First line: what happened and what it means — "Build is green on main, ready to ship." Then at most three short lines: the key number, the file, and the one decision needed, if any.
  3. Fit the phone. One screen. No tables, no headers, no wall of bullets. Plain text is split into platform-sized parts automatically, but a message needing more than eight parts is refused — put the detail in a file.
  4. Attach instead of pasting. Pass up to four workspace files in files: images arrive inline, other files as documents. A channel that cannot carry files gets the path named instead.
  5. Ask at most one question, answerable with one word or a number.
  6. Send (channel.send) and read the result. In APPROVAL mode the Commander confirms the send. A channel that is not connected is refused with nothing sent — report that, and point them to the CHANNELS panel to reconnect.
  7. For scheduled updates, use the routine's own delivery, not channel.send. An unattended run has nobody to approve a send. Create the routine from the chat that should receive it (routine.create with deliver: origin) and write the [SILENT] rule into its prompt.

Read the full file on GitHub · 42 lines

Files

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.

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. 12d ago First seen · 42 lines · 36 tokens per session scan A 6ca849c2551e

Subscribe to this mod's changes

channel-updates is a skill published in the GitHub repository androoAGI/starnet (1,468 stars, last pushed 3d ago), licensed MIT. It adds 36 tokens to every session and 742 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.

Related

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