paper-fetch

paper-fetch is a skill for Claude Code, Codex from yogsoth-ai/de-anthropocentric-research-engine. It costs 182 tokens per session (1,651 once invoked), scanned A, original, Apache-2.0.

A paper-retrieval step that finds or reads one specified academic paper and saves it as source text with a section index. It accepts a title, arXiv ID, DOI, URL, or an existing local Markdown, text, or PDF file.

In plain words
What is it for?
Use it to prepare a paper for analysis. It can read supplied local files or direct PDF links and otherwise follows its defined fallback search route, including sources such as arXiv-related services, Semantic Scholar, bioRxiv, and medRxiv.
Why use it?
It gives later reading steps one consistent, locally stored source and section locations to work from, while checking whether the paper is already cached.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to prepare a paper for analysis. It can read supplied local files or direct PDF links and otherwise follows its defined fallback search route, including sources such as arXiv-related services, Semantic Scholar, bioRxiv, and medRxiv.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yogsoth-ai/de-anthropocentric-research-engine/paper-fetch
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 yogsoth-ai/de-anthropocentric-research-engine --skill paper-fetch
Clone the repo
git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine

Made for: Claude Code, 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.

agentmods badge for paper-fetch

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/paper-fetch/github.svg)](https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/paper-fetch)
Your own site
<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/paper-fetch"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/paper-fetch/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 paper-fetch

Your own site · 80×15
<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/paper-fetch"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/paper-fetch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 182 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,651 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00182 $0.01651
Opus 5 $0.00091 $0.00826
Sonnet 5 $0.00036 $0.00330
Haiku 4.5 $0.00018 $0.00165

Measured 13d ago against content hash aa49f7db8804, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

paper-fetch 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 13d 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.

paper-reading/skills/paper-fetch/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper Fetch

If the caller already has the paper — a local .md/.txt/.pdf path, or a direct HTTP(S) PDF URL (path ends in .pdf, ignoring query and fragment) — read it directly before considering any search route. Record source_channel as local_file, local_pdf, or direct_pdf. If the read fails, return not_found and do not fall back to alphaxiv, Semantic Scholar, bioRxiv, or medRxiv.

The pipeline's sole entry point: retrieves a paper and lands it on disk. It checks the cache first, reads already-identified sources (local files, direct PDF URLs) with no search at all, and otherwise uses the fixed fallback (alphaxiv → Semantic Scholar routing → bioRxiv/medRxiv → not_found). Decoupled from literature-engine's literature-research/literature-search/ literature-overview — this SOP holds its own retrieval calls rather than delegating.

Why an already-supplied file still enters through this SOP

Skipping straight to a reading SOP with the caller's own path looks like it saves a step, but 13 downstream SOPs take meta_path and read only section line ranges (star-awarding reads method + results; first-pass-skim's "headings only, never bodies" constraint holds because it is handed shallow ranges). A bare path carries no index, and a bare .pdf carries no extracted text at all.

So the thing to skip is the four-channel search, not the landing and indexing. That is what Step 1 does: no network lookup, same landing step, same output contract. Tactics keep passing paper_ref through unchanged and never learn there was a new input form.

Landed layout

context/papers/<timestamp>-<title-slug>/
  source.md            the paper, as fetched
  source.meta.json     metadata + line-number section index

All landed filenames are lowercase. <title-slug> is lowercased, non-alphanumerics collapsed to hyphens, Windows-illegal characters (: * ? " < > |) stripped, truncated to 60 chars against path-length limits.

Execution

Subagent — spawned via spawn-agent skill.

Read the full file on GitHub · 100 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. 13d ago First seen · 100 lines · 182 tokens per session scan A aa49f7db8804

Subscribe to this mod's changes

paper-fetch is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (462 stars, last pushed 3d ago), licensed Apache-2.0. It adds 182 tokens to every session and 1,651 once invoked, about $0.0009 per session on Opus 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.

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