DeepPaperNote
DeepPaperNote is an agent skill for deep-reading a single paper and generating high-quality Obsidian-style research notes. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add 917Dhj/DeepPaperNote
Maintenance
fresh
1d since push
Risk
Safe to try
Stars/forks activity: 459 stars, 32 forks; issue activity unavailable in current metadata
GitHub quality
459
99/100 quality · 85/100 trust
Coverage tags
Review notes
Stars/forks activity: 459 stars, 32 forks; issue activity unavailable in current metadata
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Human review before install
Use as the primary candidate after human or sandbox review.
Stars
459 GitHub stars
Repo activity
459 stars, 32 forks
Maintenance
1d since push
License
MIT
Install
npx skills add 917Dhj/DeepPaperNote
Install safety
standard package or runtime install path
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Low metadata risk
- Stars/forks activity: 459 stars, 32 forks; issue activity unavailable in current metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Suited agents
Install decision
- Command
- npx skills add 917Dhj/DeepPaperNote
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 80/100
- Audit
- 92/100
- Risk level
- Safe to try
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Do not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No major risk signals from current metadata
- High-risk permission hints: Shell or command execution
- Stars/forks activity: 459 stars, 32 forks; issue activity unavailable in current metadata
Agent safety v2
64/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution
- Stars/forks activity: 459 stars, 32 forks; issue activity unavailable in current metadata
Install targets
Install this skill in your agent workflow
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add 917Dhj/DeepPaperNoteAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20DeepPaperNote%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20DeepPaperNote%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/917dhj-deeppapernote/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use DeepPaperNote in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20DeepPaperNote%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/917dhj-deeppapernote/install
Install command: npx skills add 917Dhj/DeepPaperNote
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/917dhj-deeppapernote/install
LLM text format
/api/skills/917dhj-deeppapernote/install?format=text
Find alternatives
/api/skills/search?q=DeepPaperNote&limit=3
Agent prompt
Use DeepPaperNote for this task. Review https://www.openagentskill.com/api/skills/917dhj-deeppapernote/install, then install with: npx skills add 917Dhj/DeepPaperNoteRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/917dhj-deeppapernote
LLM text
/api/registry/manifest/917dhj-deeppapernote?format=text
Install alias
/api/registry/install/917dhj-deeppapernote
Recommend
/api/registry/recommend?task=Use%20DeepPaperNote%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Python, Claude Code, OpenAI Agents
Audit report
Safe to try · 92/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for GitHub automation
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 99/100 quality profile
- 1 OpenAgentSkill engagement events
Review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one GitHub automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Review then install
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO459 GitHub stars
Stars/forks activity
CHECK459 stars, 32 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
- Manually verified listing
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Stars/forks activity: 459 stars, 32 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Stack fit
Add it to a complete workflow
Operate and verify web apps
Browser QA agent
A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
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Overview
<div align="center">
# DeepPaperNote
**Turn a complex paper into an Obsidian note you will actually want to keep.**
[English](./README.md) | [简体中文](./README.zh-CN.md)
[](https://917dhj.github.io/DeepPaperNote/) [](https://github.com/917Dhj/DeepPaperNote) [](https://github.com/917Dhj/DeepPaperNote/releases/tag/v2.0.0) [](./LICENSE) [](./SKILL.md) [](./references/obsidian-format.md) [](./references/figure-placement.md) [](./references/model-synthesis.md) [](./CHANGELOG.md)
</div>
[](https://917dhj.github.io/DeepPaperNote/)
**Do you often run into this situation: you want to study a classic paper carefully, but the hardest part is no longer reading it — it is turning that reading into usable notes?** The real time sink usually looks like this:
- jumping back and forth between PDFs, Zotero, web pages, and your note app - manually organizing metadata, abstracts, figures, and the method backbone - understanding part of the paper, but still spending a long time turning that understanding into structured notes - ending up with a note that looks complete but is not something you actually want to revisit later
DeepPaperNote is built for exactly that layer of repetitive, mechanical, but very expensive work. It takes over the gathering, structuring, figure placement, and note production work so you can
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 7/3/2026
- Published
- 7/1/2026
Frameworks & Tools
Decision snapshot
Primary pick
recent repository activity
Audit snapshot
Install review
Install and adoption review
- Security
- 85/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent Proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the audit before production use.
Growth loop
Share kit
Scenario-led draft for DeepPaperNote, ready for a manual X post.
The useful research skills are not search wrappers. They help agents keep sources attached. DeepPaperNote helps agents turn docs, data, or knowledge bases into grounded work. 459 stars https://www.openagentskill.com/skills/917dhj-deeppapernote?ref=x #AIAgents
Optional reply with install command
Listing + install path for DeepPaperNote: https://www.openagentskill.com/skills/917dhj-deeppapernote?ref=x Install: npx skills add 917Dhj/DeepPaperNote
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- 917Dhj
- Source
- 917Dhj/DeepPaperNote
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This community indexed listing is attributed to 917Dhj but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
README badge
Add this badge to your GitHub README to show the listing, trust score, and install handoff.
[](https://www.openagentskill.com/skills/917dhj-deeppapernote)Author
917Dhj✓
@917dhj
Platform Fit
Health Signals
- GitHub stars
- 459
- Quality score
- 61/100
- Last GitHub push
- Jul 2, 2026
- Framework hints
- 1
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
Review then install
- GitHub adoption459 GitHub starsINFO
- Stars/forks activity459 stars, 32 forks; issue activity unavailable in current metadataCHECK
- Recent maintenance1d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surfaceINFO
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