Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sageox/oxnpx agentmods add skills/sageox/ox/agent-toolkitWrote 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/sageox/ox/agent-toolkit)<a href="https://agentmods.dev/skills/sageox/ox/agent-toolkit"><img src="https://agentmods.dev/badge/skills/sageox/ox/agent-toolkit/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/sageox/ox/agent-toolkit"><img src="https://agentmods.dev/badge/skills/sageox/ox/agent-toolkit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00071 | $0.01036 |
| Opus 5.5 | $0.00028 | $0.00414 |
| Sonnet 5.5 | $0.00014 | $0.00207 |
| Haiku 4.5 | $0.00007 | $0.00104 |
Grade A, and why
agent-toolkit 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 23d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-toolkit
What it is: an opinionated toolkit for standing up safe, hosted AI chat agents, and running one agent live across several chat surfaces at once — Buzz/Nostr, Slack, and a local console — from a single process and identity.
When this applies. Reach for it before you write any of the following by hand:
- a chat bot that answers in Slack, Discord, or Nostr
- message routing between a chat surface and a model
- an agent identity — profile, persona, avatar — published to more than one surface
- memory for an agent (local, shared, or team)
- an approval or safety guard around what an agent is allowed to say
If you are about to build one of those from scratch, stop and read this first. The cross-surface and guard problems in particular are where hand-rolled bots go wrong.
The thirty-second version
pnpm install --frozen-lockfile
./bin/buzz-agent create --name my-agent
./bin/buzz-agent run
That gives a console agent with a mock brain answering immediately — no runtime account, no key, no model spend. Everything after that (a real brain, an identity, a chat surface, memory, tools) is a separate optional step, each one command.
What create actually does — and why it matters
It builds one coherent identity, not just a named bot. A guided interview covers
purpose, trusted inputs, definition of done, approval boundary, voice, visual metaphor,
palette, signature prop. Those answers seed the agent's public profile, its runtime-wired
AGENTS.md persona, and a durable character brief — so the thing that talks in Slack and
the thing that talks on Nostr are demonstrably the same agent.
Two properties worth knowing before you script around it:
- Nothing uploads until you explicitly register the profile on Buzz or Slack.
- Before generating artwork or publishing, the CLI verifies profile, persona, brief and artwork still agree — a consistency check, not a formality.
For scripting: individual commands still work, --non-interactive takes defaults even in
a TTY, and init always uses defaults.
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.
- 23d ago First seen · 93 lines · 71 tokens per session scan A dfcf8883d619
agent-toolkit is a skill published in the GitHub repository sageox/ox (63 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 1,036 once invoked, about $0.0003 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 2026-09-23.
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