deepxiv-trending-digest SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

deepxiv-trending-digest from pengqianhan/ai-human-research-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add pengqianhan/ai-human-research-os/deepxiv-trending-digest@git:20260715.38d79be

Pins git:20260715.38d79be in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
pengqianhan/ai-human-research-os
Path
research-skills-hub/collected-skills/deepxiv-trending-digest/SKILL.md
Versions recorded
1
Latest version
git:20260715.38d79be, committed Jul 15, 2026
Size
4,887 bytes
Repository stars
3
License
MIT

Summarize recent hot academic papers using deepxiv trending, brief, head, and section reads, then produce a markdown digest highlighting what each paper is about and which papers deserve deeper reading.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# DeepXiv Trending Digest

Use this skill when the user wants a recent hot-paper roundup, trending paper summary, weekly paper digest, or a markdown report based on DeepXiv trending papers.

## Goal

Turn recent DeepXiv trending papers into a concise markdown digest:

1. Find currently hot papers with `deepxiv trending`
2. Brief each candidate with `deepxiv paper <id> --brief`
3. Select the most promising papers for deeper inspection
4. Inspect structure with `deepxiv paper <id> --head`
5. Read only the most relevant sections with `deepxiv paper <id> --section ...`
6. Write a clean `.md` summary with recommendations

## Default Workflow

### 1. Pull trending papers

Start with a small, recent set unless the user asks otherwise.

```bash
deepxiv trending --days 7 --limit 10 --json
```

Default heuristics:
- Use `--days 7` for "recent hot papers"
- Use `--limit 10` for a manageable first pass
- If the user asks for a broader roundup, use `--days 14` or `--days 30`

### 2. Brief every candidate

For each selected arXiv ID, fetch a brief first:

```bash
deepxiv paper <arxiv_id> --brief
```

Capture:
- title
- arXiv ID
- publish date
- keywords
- TLDR
- citations if present
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add pengqianhan/ai-human-research-os/deepxiv-trending-digest@sha256:a16ff8ff07c0328c

The line at the top of this page pins the label git:20260715.38d79be, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_5xgns77les7wkiqk.svg)](https://markdownregistry.com/a/art_5xgns77les7wkiqk)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jul 15, 2026.

versioncommittedcommitsizeaudit
git:20260715.38d79be latest2026-07-15 38d79be 4,887 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4887 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

pengqianhan/ai-human-research-os · 3 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5xgns77les7wkiqk
GET https://markdownregistry.com/api/v1/resolve?ref=pengqianhan/ai-human-research-os/deepxiv-trending-digest
GET https://markdownregistry.com/api/v1/blob/a16ff8ff07c0328cac67bcdaf74b5aca77ee67b856827854421de0629f8f985c

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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