Borrowing it
Nothing to install: this file belongs to sageox/agent-toolkit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sageox/agent-toolkit/main/.agents/skills/agent-bringup/SKILL.mdgit clone --depth 1 https://github.com/sageox/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/agent-toolkit/agent-bringup)<a href="https://agentmods.dev/skills/sageox/agent-toolkit/agent-bringup"><img src="https://agentmods.dev/badge/skills/sageox/agent-toolkit/agent-bringup/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/agent-toolkit/agent-bringup"><img src="https://agentmods.dev/badge/skills/sageox/agent-toolkit/agent-bringup.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 | $0.00074 | $0.02124 |
| Opus 5 | $0.00037 | $0.01062 |
| Sonnet 5 | $0.00015 | $0.00425 |
| Haiku 4.5 | $0.00007 | $0.00212 |
Grade A, and why
agent-bringup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bring up an agent
Use the toolkit CLI as the implementation. Do not recreate its identity, credential, surface, or deployment logic in the skill. Keep the agent directory declarative and make each step safe to repeat.
Choose the path
Inspect the target before changing it:
ls "${AGENT_TOOLKIT_HOME:-${XDG_CONFIG_HOME:-$HOME/.config}/agent-toolkit/agents}"
./bin/sageox-agent doctor --agent <agent-name>
Each agent is one self-contained directory under that home. There is no list subcommand;
running the CLI with no arguments prints the usage and the home path it resolved.
- For a new human-guided agent,
./bin/sageox-agent createis the user's to run in their own terminal. The interview covers mission inputs, definition of done, approval boundaries, voice, visual metaphor, palette, expression, and a role-specific joke, and avatar generation offers three candidates. A tool shell has no TTY, so the same command run by you asks nothing, takes every default, and skips preflight. - To scaffold it yourself, supply the corresponding flags and either
--starter-avataror--generate-avatar --avatar-candidates 1 --non-interactive. - For an existing agent, preserve its directory and use only the focused command for the missing capability. Never recreate an identity to repair registration.
Read identity-design.md before drafting or substantially
changing AGENTS.md, profile.json, or the agent's operating contract.
Create locally
Hand the guided flow to the user when they can answer at a terminal:
./bin/sageox-agent create --name <agent-name>
To scaffold it yourself, make every choice explicit — nothing is asked for:
./bin/sageox-agent create \
--name <agent-name> \
--display-name "<display name>" \
--about "<one-line purpose>" \
--inputs "<trusted inputs and sources>" \
--success "<observable definition of done>" \
--boundary "<actions requiring approval>" \
--voice "<chat voice>" \
--visual "<signature silhouette or prop>" \
--metaphor "<visual role metaphor>" \
--palette "<wardrobe and palette intent>" \
--expression "<expression and posture>" \
--joke "<role-specific visual joke>" \
--starter-avatar --non-interactive
What ships with it
3 files 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.
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.
- yesterday First seen · 191 lines · 74 tokens per session scan A a57a4ab349ef
agent-bringup is a skill published in the GitHub repository sageox/agent-toolkit (10 stars, last pushed today), licensed Apache-2.0. It adds 74 tokens to every session and 2,124 once invoked, about $0.0004 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 2026-09-10.
Other skills, from other repositories
helm-expert
Expert-level Helm 3 package management, chart development, templating, and production operations. Use when the user mentions Kubernetes, package manager, charts, templates, or deployment, or when the task involves Helm Architecture, Chart Structure, Values.yaml, or Helm Hooks.
helm
A guide to Helm, a package manager for Kubernetes applications. Helm uses reusable packages called Charts to install, configure, upgrade, inspect, and remove groups of Kubernetes resources.
browser-edge-cases
SOP for debugging browser automation failures on complex websites. Use when browser tools fail on specific sites like LinkedIn, Twitter/X, SPAs, or sites with Shadow DOM.
hive.note-taking
Maintain a free-form scratchpad of decisions, extracted values, and open questions so context pruning doesn't lose anything you still need.
article
Write a publication-ready article in one of three angles - a trending long-form piece, a watched-repo thesis, or a project-through-a-lens essay. Optional Replicate hero image with --visual.
fork-fleet
Fork divergence monitor - tracks where the fleet's active forks diverge in CODE (unique commits, new/modified skills) and CONFIG (enable/var/model/schedule vs upstream), gated on real change.