Ouroboros is a general-purpose AI agent that maintains its identity, memory, and task history across restarts while working on external projects and coordinating specialist agents. It runs as a desktop application or headless command-line tool, using configured remote APIs or a local model for inference. The catalogue skills support working with or modifying Ouroboros.
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 razzant/ouroboros --skill templatesgit clone --depth 1 https://github.com/razzant/ouroborosWrote 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/razzant/ouroboros/templates)<a href="https://agentmods.dev/skills/razzant/ouroboros/templates"><img src="https://agentmods.dev/badge/skills/razzant/ouroboros/templates/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/razzant/ouroboros/templates"><img src="https://agentmods.dev/badge/skills/razzant/ouroboros/templates.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 | $0.00014 | $0.00531 |
| Opus 5.5 | $0.00006 | $0.00212 |
| Sonnet 5.5 | $0.00003 | $0.00106 |
| Haiku 4.5 | $0.00001 | $0.00053 |
Grade A, and why
Templates 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 today.
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.
What it actually says
Your own buttons
When the owner asks “make me a button that …”, create or edit my-buttons/SKILL.md
in the installation's data-plane external skills directory. Resolve that directory
from the current skill environment; do not put user skills in the source repository.
Never edit this bundled templates skill: updates reseed it.
Keep one contribution per button and preserve the owner's other entries. Use a
unique stable id, placement: composer.plus, a short label (at most 40 characters),
and action.verb: draft.insert with the full requested text. These buttons insert
an editable draft; only the owner's Send submits it.
Example user manifest:
---
name: my-buttons
version: 1.0.0
description: My composer buttons.
type: instruction
contributes:
- id: next_steps
placement: composer.plus
label: Next steps
action:
verb: draft.insert
text: "Suggest the next steps for what we are working on."
---
My personal composer shortcuts.
Run the normal skill lifecycle: preflight → review → enable. Tell the owner the
button appears in the composer's “+” menu under my-buttons once enabled. For a
change or removal, edit that entry and repeat the lifecycle.
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.
- today First seen · 62 lines · 14 tokens per session scan A 50b64ada7393
Templates is a skill published in the GitHub repository razzant/ouroboros (1,572 stars, last pushed today), licensed MIT. It adds 14 tokens to every session and 531 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 2026-10-22.
Other skills, from other repositories
cuga-github-issues
Create GitHub issues for cuga-agent (bugs, features, epics, designs, and related work) against origin using gh, with epic → feature → issue hierarchy and GraphQL sub-issue linking. Use when the user says create new issues, report a bug, file a bug, feature request, new feature, create an epic, GitHub issue, sub-issue…
cuga-contributor-workflows
Run CUGA contributor workflows: Conventional Commits, create pull requests against origin with gh and PR templates, and ruff check/format via uv. Use when the user says commit, create a commit, create PR, pull request, open a PR, ruff check, ruff format, or conventional commits.
data-analysis
Analyze, explore, clean, and visualize datasets with statistical rigor. Use when user asks to analyze data, find patterns, compute statistics, create visualizations, clean messy data, or explore a dataset. Trigger when user says things like "analyze this data", "what trends do you see", "find patterns in", "create a…
web-design
Use when building any web page, HTML artifact, landing page, dashboard, slide deck, report, email, or UI component the user will look at. A taste-first design system that makes generated pages look intentional and crafted instead of generic "AI-made". Provides an aesthetic-direction process, design tokens, a starter…
summarization
Summarize documents, articles, conversations, code, and technical content into concise, accurate summaries. Use when user asks to summarize, condense, create a TL;DR, write an executive summary, extract key points, or distill content. Trigger when user says things like "summarize this", "give me the key points"…
experiment_management
Set up and manage the experiment folder structure. This is Phase 0 — it runs before any analysis begins. All bookkeeping files are JSON (never markdown).