re0-workflow

re0-workflow is a skill for Claude Code, Codex from LilMGenius/paperthin. It costs 86 tokens per session (1,903 once invoked), scanned A, original, MIT.

A workflow router that reads a stated goal, selects the installed skills that fit it, shows their order, and runs the steps allowed in the session. It stops where a person must act.

In plain words
What is it for?
Use it to turn a multi-step request into an ordered skill plan, execute the permitted steps, and report where human input or approval is required.
Why use it?
It helps when you know what you want but do not know which add-ons to use or how to sequence them. It avoids running unrelated skills and makes the proposed process visible before execution.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the paperthin plugin — 45 skills shipped together

Good fit Use it to turn a multi-step request into an ordered skill plan, execute the permitted steps, and report where human input or approval is required.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lilmgenius/paperthin/re0-workflow
About the project

Paperthin is a collection of low-level design patterns that coding agents can apply as repeatable checks and actions during software work. It is for people using agents such as Claude Code, Codex, Cursor, or other supported tools, and its catalogue entries package the patterns as skills, an instruction, and a plugin.

LilMGenius/paperthin · 1,401 stars · on GitHub · paperthin.ai

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 LilMGenius/paperthin --skill re0-workflow
Clone the repo
git clone --depth 1 https://github.com/LilMGenius/paperthin

Made for: Claude Code, Codex.

Or install paperthin, the plugin that ships this one along with the rest of its 45 skills.

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.

agentmods badge for re0-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/lilmgenius/paperthin/re0-workflow/github.svg)](https://agentmods.dev/skills/lilmgenius/paperthin/re0-workflow)
Your own site
<a href="https://agentmods.dev/skills/lilmgenius/paperthin/re0-workflow"><img src="https://agentmods.dev/badge/skills/lilmgenius/paperthin/re0-workflow/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.

agentmods 80×15 button for re0-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/lilmgenius/paperthin/re0-workflow"><img src="https://agentmods.dev/badge/skills/lilmgenius/paperthin/re0-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,903 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00086 $0.01903
Opus 5.5 $0.00034 $0.00761
Sonnet 5.5 $0.00017 $0.00381
Haiku 4.5 $0.00009 $0.00190

Measured today against content hash a11c74257c23, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

re0-workflow 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.

skills/coil/re0-workflow/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Turn one stated intent into an ordered skill graph, show it, and run the steps the session may run.

Goal

Someone who does not know this suite's catalog should be able to say what they want and see it done. Select and order the installed skills that serve the human's stated intent, show the order before anything runs, run each step the session holds authority for, and stop at the first step that needs the human, with a report of what ran.

Workflow

  1. Read the human's stated intent and the installed roster from the host catalog or skill directories. If given only live state without a stated intent, ask for the intent rather than infer it. Read each candidate's contract and invocation lane: disable-model-invocation: true means user-only; otherwise it is model-invoked.
  2. Select only skills whose triggers and outputs serve the intent. A frozen pipeline (a skill whose own contract runs a fixed sequence of other skills) that already serves the intent is one node, never expanded; read its members only to type it, so the node counts as writing when any member writes and is a user-handoff when any member is user-only. If none fits, show zero steps and say so; if one suffices, use exactly one node and say ordering is trivial. A skill the intent or a selected contract calls for that the roster lacks stays as a skip step, and when a selected step needs its output the run ends with the stop condition unmet, never as a silent skip. Do not pad the graph, require an orientation skill, invent a pipeline skill, or substitute another skill for a missing one.
  3. Order the selected steps by their contracts' prerequisites: a step depends on another when its firing precondition needs that step's output. Detect cycles before showing the graph; if one exists, the whole result is a reject naming the cycle, such as skill-a -> skill-b -> skill-a, with no steps and no partial order. Give the graph one observable stop condition, the state that means the intent was served; zero steps or a reject ends at its own report.
  4. Give every step an identifier, a target (the skill that acts, or the question when the step is a human decision no skill makes), predecessor identifiers, exactly one type, firing precondition, expected output limited to the target's own contract, skippable condition, and cost owner. Assign its type by the first row below that applies, so a missing user-only skill is a skip. Where a contract does not say whether its skill writes, count it as writing; where its lane cannot be read, count it as user-only. A step whose type depends on a predecessor's output is shown as conditional with the types it can take, and typed once that output exists.

Read the full file on GitHub · 51 lines

Files

What ships with it

1 file 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.

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.

  1. today First seen · 51 lines · 86 tokens per session scan A a11c74257c23

Subscribe to this mod's changes

re0-workflow is a skill published in the GitHub repository LilMGenius/paperthin (1,401 stars, last pushed yesterday), licensed MIT. It adds 86 tokens to every session and 1,903 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 2026-11-09.

Related

re0-workflow compared with skills from other repositories

re0-workflow next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
re0-workflowLilMGenius/paperthinSkill1.4kyesterdayMITA86Claude Code, Codex
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evaluate-skilledonadei/caliperSkill230yesterdayMITA70Claude Code
context-boundary-reporteredonadei/caliperSkill230yesterdayMITA20Claude Code, Codex
alertedonadei/caliperSkill230yesterdayMITA20Claude Code, Codex
grill-skilledonadei/caliperSkill230yesterdayMITA58Claude Code
resilient-fetchedonadei/caliperSkill230yesterdayMITA24Claude Code, Codex