What is auto-paper-data?

An internal instruction source for handling paper data. It is accessed through visible Harness aliases rather than directly.

It supports paper-data work within a Harness workflow.

It keeps the internal source from being called the wrong way. This helps the surrounding Harness workflow use the intended entry point.

How linzhe001/Harness-Research configures Codex

Reuse

Borrowing it

Nothing to install: this file belongs to linzhe001/Harness-Research. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/linzhe001/Harness-Research/master/.agents/skills/auto-paper-data/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/linzhe001/Harness-Research

Made for: Codex.

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/linzhe001/harness-research/auto-paper-data/github.svg)](https://agentmods.dev/skills/linzhe001/harness-research/auto-paper-data)

Your own site

<a href="https://agentmods.dev/skills/linzhe001/harness-research/auto-paper-data"><img src="https://agentmods.dev/badge/skills/linzhe001/harness-research/auto-paper-data/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/linzhe001/harness-research/auto-paper-data"><img src="https://agentmods.dev/badge/skills/linzhe001/harness-research/auto-paper-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 309 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 unknown 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	$0.00023	$0.00309
Opus 5.5	$0.00009	$0.00124
Sonnet 5.5	$0.00005	$0.00062
Haiku 4.5	$0.00002	$0.00031

Measured 2mo ago against content hash 1fbf1442c4ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

auto-paper-data 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 2mo 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.

.agents/skills/auto-paper-data/SKILL.md · 45 lines

The source is not reproduced here

No licence file

Read it on GitHub

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.

agents/openai.yaml 257 B

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.

2mo ago First seen · 45 lines · 23 tokens per session scan A 1fbf1442c4ec

Subscribe to this mod's changes

auto-paper-data is a skill published in the GitHub repository linzhe001/Harness-Research (87 stars, last pushed 2mo ago), with no licence file. It adds 23 tokens to every session and 309 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 2026-08-30.

auto-paper-data next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
auto-paper-datalinzhe001/Harness-Research	Skill	87	2mo ago	none	A	23	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	today	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	today	MIT	A	103	Claude Code

Harness-Research: Skill for Codex