name: paperzilla-monitor description: Monitor and discuss research papers from one Paperzilla project using the pz CLI inside OpenClaw. Use when users want recent papers, metadata, markdown-based summaries, why a paper matters for current work, a recurring weekday brief, or Paperzilla feed triage in chat. version: 1.1.4 homepage: https://docs.paperzilla.ai/guides/cli license: MIT allowed-tools: [exec, message] metadata: skill-author: "Paperzilla Inc" openclaw: requires: bins: ["pz"] config: - "Paperzilla CLI already authenticated locally" - "OpenClaw message routing already configured by host" homepage: "https://docs.paperzilla.ai/guides/cli"

Paperzilla research briefs

Use this skill when the user wants one of these two workflows:

• on_demand_discussion: discuss the latest papers from one Paperzilla project, inspect one paper, fetch markdown, summarize it, explain why it matters for "our work", and continue the discussion
• weekday_brief: produce one concise weekday research brief for one Paperzilla project

This is a workflow skill built on top of the same Paperzilla access layer as the core paperzilla skill. It should feel opinionated and repeatable.

Prerequisites

• Ensure pz CLI is installed and authenticated (pz login already done).
• Use OpenClaw tools:
• exec for pz commands
• message only when the user explicitly asks to deliver a digest/summary to a chat, or when the current profile explicitly requires scheduled external delivery

If pz is missing, run which pz and tell the user setup is required before continuing.

Security model

• This skill is primarily a Paperzilla read/triage skill.
• It may use the message tool only for profile-approved delivery behavior or explicit user-requested delivery.
• It must not send unsolicited or proactive messages outside the profile's delivery rules.
• It must not read arbitrary system files, unrelated environment variables, or unrelated credentials.
• It assumes pz is already installed and authenticated by the human via pz login.
• It assumes OpenClaw messaging is already configured by the host platform. The skill does not acquire, mint, or modify credentials.

What this skill needs

• One Paperzilla project
• One short sentence for "our work" if that context is not already known

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If either is missing, ask once and then reuse it for the rest of the workflow.

Examples:

• Project: Agents evaluation
• Our work: we build evaluation infrastructure for coding agents.

Transport rules

Follow the transport required by the current profile.

CLI profiles

Use the Paperzilla CLI (pz).

Core commands:

pz project list
pz project <project-id>
pz feed <project-id> --limit 20 --json
pz rec <project-paper-id> --json
pz rec <project-paper-id> --markdown
pz paper <paper-id> --json
pz paper <paper-id> --markdown
pz paper <paper-id> --project <project-id>
pz feedback <project-paper-id> upvote
pz feedback <project-paper-id> star
pz feedback <project-paper-id> downvote --reason not_relevant
pz feedback <project-paper-id> downvote --reason low_quality
pz feedback clear <project-paper-id>

Use --json whenever you need structured feed or metadata parsing.

Keep the Paperzilla object model straight: - pz paper <paper-ref> = canonical paper - pz rec <project-paper-ref> = recommendation inside one project - pz feedback <project-paper-ref> ... = project-specific feedback on that recommendation

When an item comes from pz feed --json, prefer pz rec and pz feedback over pz paper.

CLI markdown behavior differs by command:

• pz rec --markdown can queue markdown generation and prints a friendly retry message when it is still being prepared
• pz paper --markdown only returns markdown when it is already ready

MCP profiles

Use the Paperzilla MCP tools directly.

Core tools:

• projects_list
• projects_get
• feed_get
• paper_get
• paper_markdown

Preferred sequence:

1. projects_list when the project is missing or ambiguous
2. projects_get to confirm project identity when needed
3. feed_get to pull the latest feed items
4. paper_get for one paper's metadata
5. paper_markdown for markdown-backed analysis

Handle paper_markdown statuses correctly:

• ready: use the markdown
• queued: tell the user it is still being prepared and suggest retrying shortly
• unavailable: report that markdown is not currently available

Shared behavior rules

• Treat Paperzilla relevance and ranking as a strong prior, not the final answer.
• Use Paperzilla terms exactly: project, feed, Must Read, Related.
• Name the exact paper or recommendation identifier you used when you inspect one paper.
• Separate metadata from interpretation.
• Explain relevance in terms of the user's actual work, not generic importance.
• Do not dump full markdown unless the user explicitly asks for it.
• Do not switch to arXiv HTML/abs links as the default fallback when the request was specifically for Paperzilla markdown.

Mode 1: on-demand discussion

Use this mode when the user wants an interactive paper conversation in chat.

Workflow

1. Resolve the project and the "our work" context.
2. Pull the latest papers from that project's feed.
3. Show a short list of the newest or strongest candidates.
4. When the user picks one paper, return metadata first.
5. Fetch markdown for that paper or recommendation.
6. Summarize:
7. contribution
8. method
9. results
10. limits
11. why it matters for our work
12. Continue the discussion and make a recommendation such as:
13. read now
14. keep as Related
15. ignore this week

Output contract

For the first feed reply, include:

• project name
• the papers you checked
• per paper: title, date, source, and whether it looks Must Read or Related

For the metadata reply, include:

• title
• authors
• publication date
• source
• URL
• the exact Paperzilla paper ID or project-paper ID used

For the markdown reply, include:

• contribution
• method
• results
• limits
• why it matters for our work

Mode 2: weekday brief

Use this mode when the user wants one concise recurring brief for one project.

Workflow

1. Resolve the project and the "our work" context.
2. Load the per-project history of papers already proposed in earlier weekday briefs.
3. Pull the newest papers from the feed.
4. Exclude papers that were already proposed in earlier weekday briefs unless the user explicitly asked to revisit them.
5. Select the remaining papers worth mentioning.
6. For each selected paper, give:
7. one short summary
8. one sentence on why it is relevant to our work
9. After drafting or sending the brief, append the exact Paperzilla IDs used for the selected papers to that project's proposed-paper history.
10. If no new papers qualify, say that explicitly.

Output contract

Every weekday brief should include:

• project name
• date
• how many new papers were checked
• for each selected paper:
• title
• one short summary
• one sentence on why it is relevant to our work
• a clear No new papers today. line when nothing new qualifies

Keep the brief concise and easy to scan.

For recurring runs, the agent must keep a persistent per-project record of the exact Paperzilla IDs already proposed in earlier briefs. Do not propose the same paper again in a later recurring brief unless the user explicitly asked to revisit it.

Feedback loop on request

If the user wants to tune future recommendations: 1. Use pz feedback ... on the recommendation ID. 2. Explain that feedback is project-specific. 3. Use: - upvote for positive signal - star for strongest positive signal - downvote --reason not_relevant for topical mismatch - downvote --reason low_quality for weak paper quality - feedback clear to remove prior signal

Edge cases

• No project given: ask once, then continue.
• No "our work" context: ask once for one short sentence, then reuse it.
• No prior brief history: treat the run as the first brief for that project, initialize an empty proposed-paper history, and persist the papers selected this time.
• No new papers: report that clearly instead of padding the brief.
• Large feed: use a sensible limit first, then expand only if needed.
• Markdown delay: retry more than once when the user explicitly asked for markdown. Prefer a short polling loop over an immediate fallback.
• Ambiguous paper ID: fall back to the full UUID or clearly restate the paper you selected.
• External delivery requests: if the user did not explicitly ask for delivery and the profile does not require delivery, do not use the message tool.
• Canonical vs recommendation confusion: if an ID came from pz feed --json, assume it is a recommendation ID unless shown otherwise.

Agent-specific rules

Read and follow any packaged AGENT.md file for the current profile. The profile file defines the chat surface, delivery surface, and scheduling behavior.

這個 Skill 質量不錯，能幫助使用者高效監控研究論文並生成討論或週報。文件清晰易懂，兩種工作模式的流程明確，使用限制和輸出規範也很清楚。主要不足是缺少示例和使用指南，對新使用者不太友好。另外某些技術細節（如 papers 歷史如何儲存）沒有說清楚，可能在實際使用中造成困惑。總體推薦，但建議配套補充示例文件。