Data-Driven Evaluation for LLM-Powered Applications
Supply asset profile
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 + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add relari-ai/continuous-eval
Maintenance
stale
1y since push
Risk
Needs review
Repository appears stale
GitHub quality
516
53/100 quality · 72/100 trust
Coverage tags
Review notes
Repository appears stale · Repository looks stale
Agent adoption scorecard
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
Needs reviewInspect the repository carefully before adding it to an agent workflow.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
516 GitHub stars
Repo activity
516 stars, 38 forks
Maintenance
1y since push
License
Apache-2.0
Install
npx skills add relari-ai/continuous-eval
Install safety
dynamic command execution, standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Agent-readable metadata
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
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add relari-ai/continuous-evalDo not use when
Alternative
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Alternative
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Alternative
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Alternative
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Install targets
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add relari-ai/continuous-evalAgent resolve plan
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%20Continuous%20Eval%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Continuous%20Eval%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/relari-ai-continuous-eval/install
Agent should check
Copy prompt
Task: Use Continuous Eval in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Continuous%20Eval%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/relari-ai-continuous-eval/install
Install command: npx skills add relari-ai/continuous-eval
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/relari-ai-continuous-eval/install
LLM text format
/api/skills/relari-ai-continuous-eval/install?format=text
Find alternatives
/api/skills/search?q=Continuous%20Eval&limit=3
Agent prompt
Use Continuous Eval for this task. Review https://www.openagentskill.com/api/skills/relari-ai-continuous-eval/install, then install with: npx skills add relari-ai/continuous-evalRegistry metadata
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/relari-ai-continuous-eval
LLM text
/api/registry/manifest/relari-ai-continuous-eval?format=text
Install alias
/api/registry/install/relari-ai-continuous-eval
Recommend
/api/registry/recommend?task=Use%20Continuous%20Eval%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Python, RAG, Claude Code
Audit report
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
RAG and knowledge
Trust label
Needs manual review
Install path
Command ready
Use when
Evidence
Review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO516 GitHub stars
Stars/forks activity
INFO516 stars, 38 forks; issue activity unavailable in current metadata
Recent maintenance
FIX1y since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Inspect the repository carefully before adding it to an agent workflow.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Stack fit
Ingest, retrieve, and cite
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Similar skills in this category, ranked with the same readiness and quality signals.
21 Lessons, Get Started Building with Generative AI
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
Free and Open Source, Distributed, RESTful Search Engine
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Data-Driven Evaluation for LLM-Powered Applications
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Frameworks & Tools
Decision snapshot
516 GitHub stars
Audit snapshot
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the audit before production use.
Growth loop
Scenario-led draft for Continuous Eval, ready for a manual X post.
The useful research skills are not search wrappers. They help agents keep sources attached. Continuous Eval helps agents turn docs, data, or knowledge bases into grounded work. 516 stars https://www.openagentskill.com/skills/relari-ai-continuous-eval?ref=x #AIAgents
Listing + install path for Continuous Eval: https://www.openagentskill.com/skills/relari-ai-continuous-eval?ref=x Install: npx skills add relari-ai/continuous-eval
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This community indexed listing is attributed to relari-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
Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/relari-ai-continuous-eval)
[](https://www.openagentskill.com/skills/relari-ai-continuous-eval)
[](https://www.openagentskill.com/skills/relari-ai-continuous-eval/audit)
[](https://www.openagentskill.com/skills/relari-ai-continuous-eval)relari-ai
@relari-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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