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 Arvo-AI/aurora --skill slackgit clone --depth 1 https://github.com/Arvo-AI/auroraWrote 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/arvo-ai/aurora/slack)<a href="https://agentmods.dev/skills/arvo-ai/aurora/slack"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/slack/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/arvo-ai/aurora/slack"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/slack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00013 | $0.01443 |
| Opus 5.5 | $0.00005 | $0.00577 |
| Sonnet 5.5 | $0.00003 | $0.00289 |
| Haiku 4.5 | $0.00001 | $0.00144 |
Grade A, and why
slack 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 4d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slack Tools
Overview
Tools for working in Slack. The investigation tools (list_slack_channels,
list_slack_users, get_channel_history, get_thread_replies,
get_connected_slack_channels) are read-only and used during postmortem
generation and interactive investigation to
gather human context (deployment decisions, communication gaps, resolution
steps). In Agent mode you also get post_slack_message to post a message or
threaded reply.
The tool signatures and parameters are provided to you in the tool schema — this skill only covers when to use each and Slack-specific behaviour.
Choosing a tool
get_connected_slack_channelsis the routing-decision source: the channels Aurora is aware of, each with a description of what it's for and which team/service it serves. Use it to pick which channel(s) are relevant when posting about an incident or notifying a team — and combine it with theSlackbehaviour memory (below), which holds the team/channel routing preferences the descriptions alone don't capture.list_slack_usersfinds people to notify. Pass a name prefix (afor Ada and Alex). Copy the returned<@USERID>into the message. A plain@namedoes not notify, and an id you invent will not either.list_slack_channelsis a live, description-less listing of channels the bot can access — use it for discovery (scan names/topics for a service or "incident"/"oncall"/"alerts"), not routing.get_channel_history/get_thread_repliesread messages; scope history to the incident time window and follow into a thread whenreply_count > 0.post_slack_messageis the one write tool. Post a new message, or setthread_tsto reply UNDER an existing message. Available in Agent mode only.
Posting like a teammate
When you post about an incident, behave like a human on-call would — don't just dump a card into every channel:
- Decide who cares using
get_connected_slack_channels+ theSlackmemory. If no channel is relevant, stay silent (post nothing). - Before posting, read the recent history of the target channel
(
get_channel_history) and check whether this incident is already being discussed — your own earlier message, an incident.io/PagerDuty thread, or a human asking about it. - Recurring incident (you've seen it before — check the Incident Index in
your prompt and your prior messages): reply IN THE THREAD of the existing
message with a short note (e.g. "Still happening — 3rd time today, same DB
pool exhaustion") using
thread_ts. Do not start a new top-level message. - New incident: post a new, short message. Match the channel's preferred
format from the
Slackmemory (some teams want a plain human line, others a short structured summary). - Keep it terse. One or two lines beats a wall of text.
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.
- 4d ago Changed · +7 lines c94b45861a0d
- 27d ago Changed · +67 lines c372461d3b4b
- 1mo ago First seen · 48 lines · 13 tokens per session scan A 78d553d64f03
slack is a skill published in the GitHub repository Arvo-AI/aurora (438 stars, last pushed today), licensed Apache-2.0. It adds 13 tokens to every session and 1,443 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 2026-08-30.
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