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.
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 LilMGenius/paperthin --skill re0-workflowgit clone --depth 1 https://github.com/LilMGenius/paperthinWrote 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/lilmgenius/paperthin/re0-workflow)<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.
<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>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 | $0.00086 | $0.01903 |
| Opus 5.5 | $0.00034 | $0.00761 |
| Sonnet 5.5 | $0.00017 | $0.00381 |
| Haiku 4.5 | $0.00009 | $0.00190 |
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.
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
- 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: truemeans user-only; otherwise it is model-invoked. - 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-handoffwhen 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 askipstep, 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. - 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
rejectnaming the cycle, such asskill-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 arejectends at its own report. - 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.
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.
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 · 51 lines · 86 tokens per session scan A a11c74257c23
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.
re0-workflow compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| re0-workflowLilMGenius/paperthin | Skill | 1.4k | yesterday | MIT | A | 86 | Claude Code, Codex |
| modular-skillsathola/claude-night-market | Skill | 349 | 2d ago | MIT | A | 24 | Claude Code |
| evaluate-skilledonadei/caliper | Skill | 230 | yesterday | MIT | A | 70 | Claude Code |
| context-boundary-reporteredonadei/caliper | Skill | 230 | yesterday | MIT | A | 20 | Claude Code, Codex |
| alertedonadei/caliper | Skill | 230 | yesterday | MIT | A | 20 | Claude Code, Codex |
| grill-skilledonadei/caliper | Skill | 230 | yesterday | MIT | A | 58 | Claude Code |
| resilient-fetchedonadei/caliper | Skill | 230 | yesterday | MIT | A | 24 | Claude Code, Codex |