deepxiv-baseline-table 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-baseline-table from pengqianhan/ai-human-research-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pengqianhan/ai-human-research-os/deepxiv-baseline-table@git:20260715.38d79bePins 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-baseline-table/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260715.38d79be, committed Jul 15, 2026
- Size
- 6,249 bytes
- Repository stars
- 3
- License
- MIT
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.
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 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: 1. Search recent papers with `deepxiv search` 2. Brief all candidates with `deepxiv paper <id> --brief` 3. Keep the relevant papers, prioritizing papers with GitHub/code 4. Inspect promising papers with `deepxiv paper <id> --head` 5. Read experiment-related sections with `deepxiv paper <id> --section ...` 6. Extract datasets, evaluation setup, and reported scores 7. 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 …
Read the whole file at its exact version.
How to install
mdr add pengqianhan/ai-human-research-os/deepxiv-baseline-table@sha256:12231fed9b33d6c1The 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.
[](https://markdownregistry.com/a/art_lyi5yftyylp2cp5t)
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Versions
The registry has recorded 1 version of this file, committed on Jul 15, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6249 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
pengqianhan/ai-human-research-os · 3 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lyi5yftyylp2cp5t GET https://markdownregistry.com/api/v1/resolve?ref=pengqianhan/ai-human-research-os/deepxiv-baseline-table GET https://markdownregistry.com/api/v1/blob/12231fed9b33d6c13f910e32c657652b0dd8037e64f1e2c22158c3498cdc1116
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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