OpenHive is a runtime for groups of specialized AI agents that collaborate on long-running business processes. A persistent lead agent, called the Queen, creates and coordinates worker agents while the system manages state, recovery, observability, costs, and human oversight. The catalogue entries provide agent skills, instructions, and integrations for working with this harness.
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 aden-hive/hive --skill slack-notifications-setupgit clone --depth 1 https://github.com/aden-hive/hiveWrote 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/aden-hive/hive/slack-notifications-setup)<a href="https://agentmods.dev/skills/aden-hive/hive/slack-notifications-setup"><img src="https://agentmods.dev/badge/skills/aden-hive/hive/slack-notifications-setup.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 35 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 155 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00136 | $0.02726 |
| Opus 5 | $0.00068 | $0.01363 |
| Sonnet 5 | $0.00027 | $0.00545 |
| Haiku 4.5 | $0.00014 | $0.00273 |
Grade A, and why
hive.slack-notifications-setup scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
with the bot token via `terminal_exec` + `curl`. (A browser `fetch()` to slack.com How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slack Notifications Setup (Sentinel)
Sentinel pings the user on Slack when a colony stalls and lets them reply from Slack to keep it going. It needs a Slack app with two tokens:
- a Bot User OAuth Token (
xoxb-…) — stored under credential idslack, used to send alerts and call the Slack API. - an App-Level Token (
xapp-…) withconnections:write— stored under credential idslack_app, used by Socket Mode to receive the user's reply.
You do the whole thing end to end: reuse-or-create the app, read the tokens, store
them with the sentinel_setup tool (the same API the desktop connector uses),
create/select the channel via the Slack API, and turn Sentinel on — without
making the user paste anything.
Activate hive.browser-automation first — this skill assumes you know the
lifecycle rules (the bridge attaches to the user's own Chrome; never launch or kill
a browser), the screenshot + viewport-fraction coordinate workflow, and
hive-browser interact.
Before you start — check what already exists
- Run
sentinel_setup({"action": "status"}). If it shows bothslack botandslack appalready configured, the app and tokens are already in place — skip Steps 1–4 entirely and go to Step 5 (channel). Don't recreate anything. - Confirm the user is signed into the right Slack workspace: run
hive-browser navigate https://api.slack.com/apps --jsonin the terminal. If it shows a sign-in screen, ask them to log into the workspace they want alerts in. If they have several workspaces, ask which one. - Reuse before create. Scan the apps list for an app named Hive Sentinel. If it exists, open it and skip to Step 2 (app-level token) / Step 3 (install) — do not create a second app. Only create one if none exists.
Step 1 — Create the app from a JSON manifest
The manifest sets the name, bot scopes (including channel management), Socket Mode, and event subscriptions in one shot.
- Click Create New App → From a manifest, pick the workspace, click Next.
- Switch to the JSON tab (not YAML — the browser type tools strip newlines and break YAML).
- Inject the manifest with
hive-browser evaluate(run in the terminal) using CodeMirror's API — see "Filling the manifest editor" below for the exact, non-doubling method. Use this manifest verbatim:
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.
- 8d ago First seen · 226 lines · 136 tokens per session scan A fd465c378f27
hive.slack-notifications-setup is a skill published in the GitHub repository aden-hive/hive (11,021 stars, last pushed yesterday), licensed Apache-2.0. It adds 136 tokens to every session and 2,726 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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