A method for describing a product's manual delivery process before automating it. It records the trigger, numbered steps, tools, time, handoff, price, and the first step worth automating later.

Use it to define a one-job service, identify people to serve, document a no-code version, and decide when repeated manual work is ready for automation.

It tests whether a product solves a real problem before time is spent building software around an unproven process.

processize — Skill for Claude Code by Team-Deepiri/deepiri-axiom

Install

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.

Any agent

npx skills add Team-Deepiri/deepiri-axiom --skill processize

Clone the repo

git clone --depth 1 https://github.com/Team-Deepiri/deepiri-axiom

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/team-deepiri/deepiri-axiom/processize/github.svg)](https://agentmods.dev/skills/team-deepiri/deepiri-axiom/processize)

Your own site

<a href="https://agentmods.dev/skills/team-deepiri/deepiri-axiom/processize"><img src="https://agentmods.dev/badge/skills/team-deepiri/deepiri-axiom/processize/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/team-deepiri/deepiri-axiom/processize"><img src="https://agentmods.dev/badge/skills/team-deepiri/deepiri-axiom/processize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 242 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00028	$0.00242
Opus 5.5	$0.00011	$0.00097
Sonnet 5.5	$0.00006	$0.00048
Haiku 4.5	$0.00003	$0.00024

Measured 11d ago against content hash 06ea0f602ab9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

processize 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 11d 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.

skills/processize/SKILL.md · 36 lines

What it actually says

Processize

Processize before productize. Gumroad-style: manual fulfillment first, software second.

Deliverables

One sentence: what the product does manually
Magic piece of paper — trigger, numbered steps, tools, minutes/customer, handoff
Three named people to serve this week
Initial price
First automation candidate (later — not now)

Strip the idea

One job, one outcome
Before/after for the customer
Zero-tech version: phone + spreadsheet + email

Ready to productize when

10+ paying manual deliveries
Steps stable for weeks
Delivery time dominates acquisition time

Deepiri handoff

Automate proven steps → ship + right repo (deepiri-web-frontend UX vs diri-cyrex agents vs diri-helox training)

Changes

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.

11d ago First seen · 36 lines · 28 tokens per session scan A 06ea0f602ab9

Subscribe to this mod's changes

processize is a skill published in the GitHub repository Team-Deepiri/deepiri-axiom (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 28 tokens to every session and 242 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 2026-10-26.

Planning Project management

processize next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
processizeTeam-Deepiri/deepiri-axiom	Skill	2	yesterday	Apache-2.0	A	28	Claude Code
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