channel-catchup

channel-catchup is a skill for Claude Code from HybridAIOne/hybridclaw. It costs 26 tokens per session (1,298 once invoked), scanned A, original, MIT.

A summarisation tool for recent activity in Discord, imported email threads, WhatsApp, and terminal-based text channels.

In plain words
What is it for?
Use it to catch up on announcements, engineering channels, email conversations, WhatsApp activity, or the current terminal session.
Why use it?
It reduces the need to read every recent message when you need to understand what happened.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to catch up on announcements, engineering channels, email conversations, WhatsApp activity, or the current terminal session.

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Install with agentmods
npx agentmods add skills/hybridaione/hybridclaw/channel-catchup
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 HybridAIOne/hybridclaw --skill channel-catchup
Clone the repo
git clone --depth 1 https://github.com/HybridAIOne/hybridclaw

Made for: Claude Code.

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-catchup

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/hybridaione/hybridclaw/channel-catchup"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/channel-catchup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,298 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 $0.00026 $0.01298
Opus 5 $0.00013 $0.00649
Sonnet 5 $0.00005 $0.00260
Haiku 4.5 $0.00003 $0.00130

Measured 12d ago against content hash fd8107f372db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

channel-catchup 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/channel-catchup/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Channel Catchup

Creating a concise catch-up or summary of channel content.

Examples:

  • "Summarize the last 50 messages from #announcements and #engineering."
  • "Give me the important posts from our HybridAI Discord server today."
  • "Catch me up on this email thread."
  • "Summarize what happened in the current TUI session."

Default To Action

Do not reflexively ask for scope if you can already do a useful catch-up from available context and tools.

Default to the broadest safe scope you can actually resolve:

  • If channels are explicit, use them.
  • If the platform/thread is explicit and no count is given, use sensible defaults.
  • If the request is broad but concrete targets are already visible in context or tool output, read them and summarize.
  • Only ask a clarification when no concrete readable target can be resolved without guessing.

When a reasonable assumption is needed, make it, do the catch-up, and state the assumption after the summary instead of blocking first.

Default limits when the user did not specify them:

  • Discord: last 50 messages per resolved channel
  • Email: last 20 messages from the current or explicit ingested thread
  • If no timeframe is provided, summarize the most recent activity visible in those reads

Scope Resolution

Resolve scope aggressively instead of asking for it.

Use these defaults:

  1. if the platform is clear, proceed on that platform
  2. if the target set is broad, use all concrete readable targets you can already resolve
  3. if no timeframe is given, prefer the latest visible activity
  4. if no count is given, use the default limits above

Only ask a clarification when you cannot identify any concrete readable target without guessing. If you had to infer scope, note the assumption after the answer in one short line and keep moving.

Channel-Specific Workflow

Discord

  • Use message with action="read" for each target channel before summarizing.
  • Prefer explicit channel IDs. If the user gives #channel-name, include guildId.
  • Read each channel separately, then merge findings into one summary.
  • Do not say you need pasted messages if you can read the requested Discord channels directly.
  • If the user names a Discord server but not channels, default to all concrete readable channels you can already resolve from context, tool descriptions, prior tool output, or the current server context.
  • If the ask is broad and you can resolve multiple channels, prefer covering more channels over asking for narrower scope.
  • If channels are explicit but timeframe is missing, read the recent bounded sample and summarize it as the latest activity instead of blocking on timeframe selection.
  • Ask only if you still cannot identify any concrete readable channels without guessing.

Read the full file on GitHub · 142 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. 12d ago First seen · 142 lines · 26 tokens per session scan A fd8107f372db

Subscribe to this mod's changes

channel-catchup is a skill published in the GitHub repository HybridAIOne/hybridclaw (132 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 1,298 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.