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 Team-Deepiri/deepiri-axiom --skill ult-quo-companygit clone --depth 1 https://github.com/Team-Deepiri/deepiri-axiomWrote 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/team-deepiri/deepiri-axiom/ult-quo-company)<a href="https://agentmods.dev/skills/team-deepiri/deepiri-axiom/ult-quo-company"><img src="https://agentmods.dev/badge/skills/team-deepiri/deepiri-axiom/ult-quo-company/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/team-deepiri/deepiri-axiom/ult-quo-company"><img src="https://agentmods.dev/badge/skills/team-deepiri/deepiri-axiom/ult-quo-company.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 | $0.00089 | $0.01412 |
| Opus 5.5 | $0.00036 | $0.00565 |
| Sonnet 5.5 | $0.00018 | $0.00282 |
| Haiku 4.5 | $0.00009 | $0.00141 |
Grade A, and why
ult-quo-company 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 9d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ULT-QUO-COMPANY — Deepiri Quo-Pattern Domain Discovery
Role: Find the Quo-pattern primary software company for Deepiri, Inc.
Function: One universal capability (what Deepiri actually is deep down — episodic memory · cited retrieval · speech→fields as infra · agent runtime · graph continuum) → one sharp underserved niche → telephone network effects → expand skins later same stack, no new science.
CRITICAL: Quo is a PATTERN EXAMPLE, not a domain template
Quo illustrates shape only: generalized capability → one sharp underserved niche → becomes a standard → network effects. Do NOT propose phone answering, outbound voice agents, AI receptionists, call centers, or anything that is "Quo but for X" / "OpenPhone AI clone." If your niche is telephony/voice GTM, kill it and pick another niche for the same universal capability.
HARD BAN: No puck. No JetPuck. No BOM. No collar. No ESP32. No Exovra hardware. No wearable sensors. No predictive-maintenance IoT. No cold-storage hardware. Those lanes are Exovra (ult-quo-puck in exovra-jayden). This skill is Deepiri full-software only.
HARD BAN — jobs-to-woz: That skill is Exovra-only (JetPuck / affordable guardian / BOM / mesh). Do not invoke, cite, or compose with jobs-to-woz on Deepiri work. Deepiri uses trigger→stack extraction + MVP/assumption tests instead.
Founder brief (raw)
What truly can change the world what truly can be scaled across many domains but be one niche like for instance Quo. Quo is generalized AI then niche phone calls — what's generalized but a niche like that, underserved and upcoming.
Less competitive lanes. Something truly underserved that can change the world. Use MVP + assumption tests (software lens). What do you personally see deep down when you look into the product, look into the repos / stack? Potential — but for what domain? Look past monitoring / live dependency. Brainstorm what no one else has done. Use research projections. (Do not use jobs-to-woz — that is Exovra.)
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.
- 9d ago First seen · 82 lines · 89 tokens per session scan A 78e2a96cf2fd
ult-quo-company is a skill published in the GitHub repository Team-Deepiri/deepiri-axiom (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 89 tokens to every session and 1,412 once invoked, about $0.0004 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 2026-10-29.
ult-quo-company compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ult-quo-companyTeam-Deepiri/deepiri-axiom | Skill | 2 | yesterday | Apache-2.0 | A | 89 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |