paperzilla SKILL.md skillA
paperzilla from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/paperzilla@v1.2Pins v1.2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/paperzilla/SKILL.md- Versions recorded
- 5
- Latest version
- v1.2, committed Oct 1, 2026
- First version recorded
- May 27, 2026
- Size
- 9,302 bytes
- Repository stars
- 56,497
- License
- MIT
Reads projects, searches project feeds, and retrieves recommendations and canonical papers in Paperzilla through the pz CLI. Supports recent recommendations, paper details, markdown-based summaries, recommendation feedback, JSON export, and Atom feed URLs.
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
# Paperzilla Use this skill when you want to chat with your agent about projects, recommendations, and canonical papers in Paperzilla. ## What you can ask - "Give me the latest recommendations from project X." - "Open recommendation Y and explain why it matters." - "Fetch canonical paper Z as markdown and summarize it." - "Tell me how this paper is relevant to my research." - "Show me the feed for project X." - "Leave feedback on a recommendation." - "Export this paper, recommendation, or feed as JSON." This is the core Paperzilla skill. It gives your agent direct access to Paperzilla data, but it does not impose a workflow or external delivery integration. ## Access method Use the official `pz` CLI. This skill targets **0.7.1**, checked against the official release source and binary. Command examples use placeholder IDs; replace them with records returned by your account. CLI behavior was tested against a local mock server, not an authenticated Paperzilla account. Start with `pz --version`, then list projects, select a project, browse or search its feed, and inspect selected recommendations. Keep project recommendations …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/paperzilla@sha256:f1b5feb3c76ce064The line at the top of this page pins the label v1.2, 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_axlweyvxsr4xokbw)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 32 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.2 latest | 2026-10-01 | a92663a | 9,302 B | A | view · diff |
| v1.1 | 2026-09-30 | ce9e6e9 | 4,423 B | A | view · diff |
| v1.0 | 2026-07-26 | b085e11 | 3,745 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 3,750 B | A | view · diff |
| v1.0 | 2026-05-27 | 0936740 | 3,747 B | A | view |
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 (9302 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
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_axlweyvxsr4xokbw GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/paperzilla GET https://markdownregistry.com/api/v1/blob/f1b5feb3c76ce064803e5d44757f0fc468bf670499015b9c6a9d487fca699771
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.