Agent skill

Deepxiv Baseline Table

Install Deepxiv Baseline Table

skills CLI

$ npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-baseline-table -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install DeepXiv/deepxiv_sdk deepxiv-baseline-table --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/DeepXiv/deepxiv_sdk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/deepxiv-baseline-table .claude/skills/deepxiv-baseline-table && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "deepxiv-baseline-table" agent skill from https://github.com/DeepXiv/deepxiv_sdk/tree/main/skills/deepxiv-baseline-table into .claude/skills/deepxiv-baseline-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepxiv-baseline-table", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/DeepXiv/deepxiv_sdk/tree/main/skills/deepxiv-baseline-table

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-baseline-table -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install DeepXiv/deepxiv_sdk deepxiv-baseline-table --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DeepXiv/deepxiv_sdk.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/deepxiv-baseline-table .agents/skills/deepxiv-baseline-table && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "deepxiv-baseline-table" agent skill from https://github.com/DeepXiv/deepxiv_sdk/tree/main/skills/deepxiv-baseline-table into .agents/skills/deepxiv-baseline-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepxiv-baseline-table", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-baseline-table -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install DeepXiv/deepxiv_sdk deepxiv-baseline-table --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DeepXiv/deepxiv_sdk.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/deepxiv-baseline-table .cursor/skills/deepxiv-baseline-table && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "deepxiv-baseline-table" agent skill from https://github.com/DeepXiv/deepxiv_sdk/tree/main/skills/deepxiv-baseline-table into .cursor/skills/deepxiv-baseline-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepxiv-baseline-table", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/DeepXiv/deepxiv_sdk.git --path skills/deepxiv-baseline-table

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-baseline-table -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install DeepXiv/deepxiv_sdk deepxiv-baseline-table --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DeepXiv/deepxiv_sdk.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/deepxiv-baseline-table .gemini/skills/deepxiv-baseline-table && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "deepxiv-baseline-table" agent skill from https://github.com/DeepXiv/deepxiv_sdk/tree/main/skills/deepxiv-baseline-table into .gemini/skills/deepxiv-baseline-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepxiv-baseline-table", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install DeepXiv/deepxiv_sdk deepxiv-baseline-table

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-baseline-table -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/DeepXiv/deepxiv_sdk.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/deepxiv-baseline-table .github/skills/deepxiv-baseline-table && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "deepxiv-baseline-table" agent skill from https://github.com/DeepXiv/deepxiv_sdk/tree/main/skills/deepxiv-baseline-table into .github/skills/deepxiv-baseline-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepxiv-baseline-table", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-baseline-table -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install DeepXiv/deepxiv_sdk deepxiv-baseline-table --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DeepXiv/deepxiv_sdk.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/deepxiv-baseline-table .opencode/skills/deepxiv-baseline-table && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "deepxiv-baseline-table" agent skill from https://github.com/DeepXiv/deepxiv_sdk/tree/main/skills/deepxiv-baseline-table into .opencode/skills/deepxiv-baseline-table/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepxiv-baseline-table", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: deepxiv-baseline-table
GitHub stars: 804
Token cost: ~1.6k tokens
SKILL.md length: 616 words
Files: 1
Skills in repo: 3
Repo updated: Sep 4, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 5 steps: Search by topic and date range → Brief all candidates → Filter and prioritize → …
Tasks that involve Markdown
SKILL.md covers Goal, Default Workflow, Extraction Targets and Markdown Output, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Deepxiv Baseline Table is an agent skill from DeepXiv/deepxiv_sdk. Build a markdown baseline table for a research topic using deepxiv search, brief, head, and experiment-section reads, extracting paper title, URL, open-source status, datasets, benchmark scores, and other comparison-ready details.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering Markdown. It works with GitHub. The repository describes itself as: Talk to research papers like talking to authors - Python package with AI agent for arXiv papers. The licence is MIT.

When your agent uses it

Tasks that involve Markdown

Example prompts

“/deepxiv-baseline-table”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

Search by topic and date range
Brief all candidates
Filter and prioritize
Inspect paper structure
Read only experiment-relevant sections

What it can do on your machine

Read from SKILL.md and the folder at commit 80be0b1. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Deepxiv Baseline Table loads about 1.6k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 616 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~63
When it runs · the whole SKILL.md, loaded when a task matches: ~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from DeepXiv/deepxiv_sdk at commit 80be0b1, republished under its MIT licence (© DeepXiv). 616 words, ~1,562 tokens.

Download SKILL.mdSave it as .claude/skills/deepxiv-baseline-table/SKILL.md (or your agent's skills folder).

name: deepxiv-baseline-table
description: Build a markdown baseline table for a research topic using deepxiv search, brief, head, and experiment-section reads, extracting paper title, URL, open-source status, datasets, benchmark scores, and other comparison-ready details.

DeepXiv Baseline Table

Use this skill when the user wants to map a topic into a comparison table, baseline survey, benchmark roundup, or "what papers evaluated on which datasets with what scores and whether code is open".

Typical requests:

"Find recent baseline papers on agentic memory"
"What papers in the last month evaluated on dataset X?"
"Make me a markdown table of methods, datasets, and scores"

Goal

Turn a topic search into a structured markdown table:

Search recent papers with deepxiv search
Brief all candidates with deepxiv paper <id> --brief
Keep the relevant papers, prioritizing papers with GitHub/code
Inspect promising papers with deepxiv paper <id> --head
Read experiment-related sections with deepxiv paper <id> --section ...
Extract datasets, evaluation setup, and reported scores
Write a markdown table summarizing the baselines

Default Workflow

1. Search by topic and date range

Use a broad search first.

bash

deepxiv search "agentic memory" --date-from 2026-03-01 --limit 100 --format json

Default heuristics:

Use the user’s exact topic phrase first
Keep --limit high enough to avoid missing relevant papers
If results are noisy, refine the query with close variants

Examples:

bash

deepxiv search "agentic memory" --date-from 2026-03-01 --limit 100 --format json
deepxiv search "memory agents long-horizon" --date-from 2026-03-01 --limit 100 --format json
deepxiv search "agent memory benchmark" --date-from 2026-03-01 --limit 100 --format json

2. Brief all candidates

For each arXiv ID, fetch:

bash

deepxiv paper <arxiv_id> --brief

Capture:

title
arXiv ID
publish date
TLDR
keywords
GitHub URL
PDF/source URL

This is the screening step. Do not read full sections yet.

3. Filter and prioritize

Keep papers that are actually about the topic, not just adjacent terms.

Prioritize:

papers directly centered on the topic
empirical papers over purely conceptual ones
papers with GitHub/code
benchmark or comparison papers
papers with clear experiment sections

De-prioritize:

purely opinion or survey papers unless the user asked for surveys
papers with no clear evaluation evidence
papers only loosely related to the topic

If the list is still large, keep a primary set and a secondary set:

Primary: strongest and most relevant baselines
Secondary: adjacent or weaker evidence

4. Inspect paper structure

For retained papers:

bash

deepxiv paper <arxiv_id> --head

Use --head to find experiment-bearing sections such as:

Experiments
Evaluation
Results
Benchmark
Main Results
Analysis

Also capture:

abstract
total token count
section names

5. Read only experiment-relevant sections

Once the right sections are known, read only those:

bash

deepxiv paper <arxiv_id> --section Experiments
deepxiv paper <arxiv_id> --section Evaluation
deepxiv paper <arxiv_id> --section Results

Section selection guidance:

Start with Experiments or Evaluation
Read Results if the metrics are not clear
Read Introduction only if the task setup is still ambiguous
Read Appendix only if benchmark details are missing from the main paper

Avoid reading the entire paper unless the user explicitly asks for it.

Show full SKILL.md (221 more words)Show less

Extraction Targets

For each retained paper, try to extract:

Title
arXiv ID
Paper URL
GitHub/code URL
Open-source status: Yes, No, or Unknown
Main task
Evaluation datasets / benchmarks
Key metrics
Best reported scores
Notes on experimental setting

If exact scores are not clearly available from the inspected sections:

leave the score field as Not clearly stated
do not invent or infer a number

If datasets are only partially visible:

include the datasets you can verify
mention that the list may be incomplete

Markdown Output

Write a markdown file in the workspace unless the user specifies another path.

Recommended filename:

text

<topic>-baseline-table-YYYY-MM-DD.md

Example:

text

agentic-memory-baseline-table-2026-04-01.md

Recommended output structure:

# Agentic Memory Baseline Table

Topic: agentic memory
Date range: 2026-03-01 to 2026-04-01
Search source: deepxiv

## Summary

- Number of search results
- Number of relevant papers retained
- Number with public code
- Main recurring datasets or benchmark families

## Baseline Table

| Title | arXiv | URL | Open Source | Code URL | Datasets / Benchmarks | Metrics / Scores | Notes |
| --- | --- | --- | --- | --- | --- | --- | --- |
| ... | ... | ... | ... | ... | ... | ... | ... |

## Inclusion Notes

- Which papers were excluded and why
- Which rows are based only on `--brief`
- Which rows were verified through `--head` and experiment/result sections

## Observations

- Common evaluation datasets
- Which papers appear strongest
- Where the benchmark story is still fragmented

Writing Rules

Prefer verified facts over broad summaries
Separate "paper is relevant" from "paper has strong benchmark evidence"
Be explicit when a row is missing score details
Mark open-source status conservatively
Keep the table compact but useful
Add short notes when comparisons are not apples-to-apples

Decision Rules

Always start with search and brief
Prefer papers with GitHub when deciding which ones to inspect first
Use --head before --section
Read only the sections needed to recover datasets and scores
If the topic is broad, tell the user when the table mixes multiple subtask types

Minimal Example

bash

deepxiv search "agentic memory" --date-from 2026-03-01 --limit 100 --format json
deepxiv paper 2603.21489 --brief
deepxiv paper 2603.21489 --head
deepxiv paper 2603.21489 --section Experiments

Then write a markdown table with:

title
paper URL
open-source status
code URL
datasets / benchmarks
metrics / scores
short notes on what was actually verified

Files

Just SKILL.md in skills/deepxiv-baseline-table of DeepXiv/deepxiv_sdk.

Open the folder on GitHubat commit 80be0b1

Compare with similar skills

Deepxiv Baseline Table next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Deepxiv Baseline Table compared with similar skills
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Markitshift-labs-ai/markit	1.3k	—	~299	Automated safety check: Pass	MIT	1 mo ago
Openclaw Ghsa MaintainerSafeAI-Lab-X/ClawKeeper	1k	—	~728	Automated safety check: Pass	None	1 mo ago
Juejin Publishereunomia-bpf/eunomia.dev	236	—	~4.8k	Automated safety check: Pass	MIT	today
Fetch Markdown Specstats-u/markdown-cjk-friendly	167	—	~179	Automated safety check: Pass	MIT	8 days ago
Documentationgithub/gh-aw	5.4k	—	~1.9k	Automated safety check: Pass	MIT	today

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Works with

GitHub

Questions about Deepxiv Baseline Table

What does Deepxiv Baseline Table do?

Build a markdown baseline table for a research topic using deepxiv search, brief, head, and experiment-section reads, extracting paper title, URL, open-source status, datasets, benchmark scores, and…. Deepxiv Baseline Table is an agent skill from DeepXiv/deepxiv_sdk. Build a markdown baseline table for a research topic using deepxiv search, brief, head, and experiment-section reads, extracting paper title, URL, open-source status, datasets, benchmark scores, and other comparison-ready details.

When should I use Deepxiv Baseline Table?

Deepxiv Baseline Table fits situations like: tasks that involve Markdown.

How do I install Deepxiv Baseline Table in Claude Code?

Run `npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-baseline-table -a claude-code`. Or copy the skill folder (skills/deepxiv-baseline-table in DeepXiv/deepxiv_sdk) into .claude/skills/deepxiv-baseline-table in your project. Claude Code loads it when a task matches its description.

How do I install Deepxiv Baseline Table in Codex?

Run `npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-baseline-table -a codex`. Or copy the skill folder (skills/deepxiv-baseline-table in DeepXiv/deepxiv_sdk) into .agents/skills/deepxiv-baseline-table in your project. Codex loads it when a task matches its description.

Can I use Deepxiv Baseline Table in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-baseline-table -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deepxiv-baseline-table, .gemini/skills/deepxiv-baseline-table, .github/skills/deepxiv-baseline-table and .opencode/skills/deepxiv-baseline-table in your project.

What does Deepxiv Baseline Table need to run?

SKILL.md names no scripts, command-line tools or credentials: Deepxiv Baseline Table is instructions for the agent only.

Does Deepxiv Baseline Table access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Deepxiv Baseline Table safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Deepxiv Baseline Table use?

Deepxiv Baseline Table is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Deepxiv Baseline Table use?

About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Deepxiv Baseline Table?

Skills that share tags, products or a category with Deepxiv Baseline Table: Markit (shift-labs-ai/markit, 1.3k stars), Openclaw Ghsa Maintainer (SafeAI-Lab-X/ClawKeeper, 1k stars), Juejin Publisher (eunomia-bpf/eunomia.dev, 236 stars) and Fetch Markdown Specs (tats-u/markdown-cjk-friendly, 167 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deepxiv Baseline Table?

DeepXiv (a GitHub organization) maintains it in DeepXiv/deepxiv_sdk, which has 804 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 4, 2026.

Source: DeepXiv/deepxiv_sdk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Deepxiv Baseline Table

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

DeepXiv Baseline Table

Goal

Default Workflow

1. Search by topic and date range

2. Brief all candidates

3. Filter and prioritize

4. Inspect paper structure

5. Read only experiment-relevant sections

Extraction Targets

Markdown Output

Writing Rules

Decision Rules

Minimal Example

Files

Compare with similar skills

Similar skills

More from DeepXiv/deepxiv_sdk

Related

Questions about Deepxiv Baseline Table