Sci Ssci Skills

REVIEW · 71
Community indexed

Open-source Agent Skills for planning, drafting, revising, and polishing SCI/SSCI papers—while preserving evidence, citations, and claim strength.

Verified installs0
Stars78
Version1.0.0
Quality78/100 · Strong
Trust71/100 · Sandbox only
Audit85/100 · Safe to try

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add Yila-AI/sci-ssci-skills

Maintenance

fresh

18d since push

Risk

Safe to try

Quality score needs review

GitHub quality

78

78/100 Quality · 79/100 Trust

Coverage tags

ResearchResearch agentsutilityagent-skillskill

Review notes

Quality score needs review · GitHub adoption: 78 GitHub stars

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

Strong
78

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
71

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Safe to try
85

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

78 GitHub stars

Repo activity

78 stars, 7 forks

Maintenance

18d since push

License

Apache-2.0

Install

npx skills add Yila-AI/sci-ssci-skills

Install safety

standard package or runtime install path

Permission surface

filesystem or document access, network or browser access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Quality score needs review
  • GitHub adoption: 78 GitHub stars
  • Stars/forks activity: 78 stars, 7 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.

Open JSON

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Search sources

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add Yila-AI/sci-ssci-skills
Policy
review
Human review
yes

Trust and risk

Trust
71/100
Audit
85/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add Yila-AI/sci-ssci-skills

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
  • Quality score needs review
  • GitHub adoption: 78 GitHub stars

Agent safety v2

69/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

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.

  • Quality score needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install yila-ai-sci-ssci-skills

Agent 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.

Open text plan

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 Sci Ssci Skills in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Sci%20Ssci%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yila-ai-sci-ssci-skills/install
Install command: npx skills add Yila-AI/sci-ssci-skills
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.

Open install API

Agent prompt

Use Sci Ssci Skills for this task. Review https://www.openagentskill.com/api/skills/yila-ai-sci-ssci-skills/install, then install with: npx skills add Yila-AI/sci-ssci-skills

Registry 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.

Open manifest

Agent fit

78/100

Research agents

Platforms

Python, Claude Code, OpenAI Agents

Audit report

Safe to try · 85/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Companion skill for Research agents

Shortlist this skill and compare it with close alternatives before production adoption.

78
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

Research agents

Trust label

Strong shortlist

Install path

Command ready

Use when

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 78/100 quality profile
  • 2 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

71
OpenAgentSkill Trust Score

GitHub adoption

CHECK

78 GitHub stars

Stars/forks activity

CHECK

78 stars, 7 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

18d since push

License clarity

PASS

Apache-2.0

Good signals

  • 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

  • Quality score needs review
  • GitHub adoption: 78 GitHub stars
  • Stars/forks activity: 78 stars, 7 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

78
GitHub stars
78
Freshness
18d ago
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

<div align="center"> <img src="assets/sci-ssci-research-writing-hero.png" alt="SCI/SSCI Research Writing Skills — Plan. Draft. Polish. Preserve the science." width="100%"> </div>

# SCI/SSCI Research Writing Skills

> **Turn your research into a clear, well-structured paper—section by section.**

**Polish the writing. Never rewrite the science.** This repository provides open-source Agent Skills for planning, drafting, revising, translating, and polishing SCI/SSCI papers while preserving meaning, data, citations, limitations, and claim strength.

Designed for Agent workflows such as Codex, Claude Code, WorkBuddy-style research agents, and other systems that support reusable Skill instructions.

<p align="center"> <a href="README_CN.md">中文说明</a> · <a href="README_ja.md">日本語</a> · <a href="README_ko.md">한국어</a> · <a href="docs/science-research-writing/getting-started.md">1-minute start</a> · <a href="#install">Install</a> · <a href="#which-skill-should-i-use">Which Skill?</a> · <a href="#use-only-one-skill">Lean download</a> · <a href="#build-on-these-mechanisms">Reuse &amp; cite</a> · <a href="#used-credited-or-adapted-by">Used by</a> </p>

## Paper to Slides showcase

`research-presentation` turns a paper into a source-grounded, editable research presentation. The [full showcase](showcase/research-presentation/README.md) now covers six cross-disciplinary cases; the network-epidemiology case also includes two complete 12-slide visual passes.

<p align="center"> <a href="showcase/research-presentation/ecology-network/README.md"> <img src="showcase/research-presentation/ecology-network/bright-azure-v2/01.webp" alt="Paper to Slides showcase cover" width="48%"> </a> <a href="showcase/research-presentation/ecology-network/README.md"> <img src="showcase/research-presentation/ecology-network/bright-azure-v2/05.webp" alt="Paper to Slides showcase result slide" width="48%"> </a> </p>

Source paper: [arXiv:2607.25475](https://arxiv.org/abs/2

Platform compatibility

pythonFULL

Technical details

Version
1.0.0
License
Apache-2.0
Last updated
Aug 18, 2026
Published
Aug 4, 2026

Frameworks & tools

Python

Decision snapshot

Companion skill

78
Ready
Shortlist
Stage

recent repository activity

Audit

Install review

Install and adoption review

85
Safe to try
Security
88/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
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 report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for Sci Ssci Skills, ready for a manual X post.

Curator note
Sci Ssci Skills: Open-source Agent Skills for planning, drafting, revising, and polishing SCI/SSCI papers—whil...

78 stars

https://www.openagentskill.com/skills/yila-ai-sci-ssci-skills?ref=x
Open X draft
Optional reply with install command
Listing + install path for Sci Ssci Skills:
https://www.openagentskill.com/skills/yila-ai-sci-ssci-skills?ref=x

Install: npx skills add Yila-AI/sci-ssci-skills

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
Yila-AI
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 skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to Yila-AI 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.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/yila-ai-sci-ssci-skills?metric=listed&label=Listed)](https://www.openagentskill.com/skills/yila-ai-sci-ssci-skills)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/yila-ai-sci-ssci-skills?metric=trust&label=Trust)](https://www.openagentskill.com/skills/yila-ai-sci-ssci-skills)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/yila-ai-sci-ssci-skills?metric=audit&label=Audit)](https://www.openagentskill.com/skills/yila-ai-sci-ssci-skills/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/yila-ai-sci-ssci-skills?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/yila-ai-sci-ssci-skills)

Author

Y

Yila-AI

@yila-ai

Health signals

GitHub stars
78
Quality score
49/100
Last GitHub push
Aug 4, 2026
Framework hints
1
OpenAgentSkill views
2
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

Sandbox only

71
  • GitHub adoption78 GitHub starsCHECK
  • Stars/forks activity78 stars, 7 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance18d since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS