Rankify
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add DataScienceUIBK/Rankify
Maintenance
active
1mo since push
Risk
Safe to try
License is unclear
GitHub quality
677
75/100 quality · 83/100 trust
Coverage tags
Review notes
License is unclear · Quality score needs review
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Agent safety v2
72/100 · Review before install
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.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
- License is unclear
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 DataScienceUIBK/RankifyAgent 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%20Rankify%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Rankify%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/datascienceuibk-rankify/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 Rankify in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Rankify%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/datascienceuibk-rankify/install
Install command: npx skills add DataScienceUIBK/Rankify
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/datascienceuibk-rankify/install
LLM text format
/api/skills/datascienceuibk-rankify/install?format=text
Find alternatives
/api/skills/search?q=Rankify&limit=3
Agent prompt
Use Rankify for this task. Review https://www.openagentskill.com/api/skills/datascienceuibk-rankify/install, then install with: npx skills add DataScienceUIBK/RankifyRegistry 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/datascienceuibk-rankify
LLM text
/api/registry/manifest/datascienceuibk-rankify?format=text
Install alias
/api/registry/install/datascienceuibk-rankify
Recommend
/api/registry/recommend?task=Use%20Rankify%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Python, RAG, Claude Code, OpenAI Agents
Audit report
Safe to try · 84/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for Browser 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
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
- Browser automation workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 677 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 75/100 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 Browser 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
Strong shortlist
Good trust signals with a few areas worth checking before rollout.
GitHub adoption
INFO677 GitHub stars
Recent maintenance
PASS1mo since push
License clarity
CHECKUnknown
README/SKILL.md completeness
PASSMetadata includes enough usage and workflow context
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Meaningful GitHub adoption signal
Review before install
- License is unclear
- Quality score needs review
- License clarity: Unknown
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- Unknown
- Last Updated
- 6/16/2026
- Published
- 5/25/2026
Frameworks & Tools
Decision snapshot
Primary pick
677 GitHub stars
Audit Snapshot
Install and adoption review
- Security
- 89/100
- Maintenance
- 88/100
- Install
- 92/100
Growth loop
Share this skill
Scenario-led draft for Rankify, with the OpenAgentSkill Update theme and canonical URL.
OpenAgentSkill Update Today: Rankify Use it when your agent needs to turn docs, data, or knowledge bases into answers and actions. 677 stars - data Link: https://www.openagentskill.com/skills/datascienceuibk-rankify?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for Rankify: https://www.openagentskill.com/skills/datascienceuibk-rankify?ref=x Install: npx skills add DataScienceUIBK/Rankify
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- DataScienceUIBK
- Source
- DataScienceUIBK/Rankify
- 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 DataScienceUIBK 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/datascienceuibk-rankify)Author
DataScienceUIBK
@datascienceuibk
Platform Fit
Health Signals
- GitHub stars
- 677
- Quality score
- 51/100
- Last GitHub push
- May 6, 2026
- Framework hints
- 2
- 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
Strong shortlist
- GitHub adoption677 GitHub starsINFO
- Recent maintenance1mo since pushPASS
- License clarityUnknownCHECK
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency riskno major dependency risk hints in public metadataPASS
- Install availabilitynpx skills add DataScienceUIBK/RankifyPASS
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