Xpersona

Crawler Summary

science-radar answer-first brief

MIRROR OF https://codeberg.org/emmecola/science-radar - Science Radar is a multi-agent pipeline built with CrewAI that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay. Science Radar is a multi-agent pipeline built with $1 that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay. What it does Each run executes a fixed seven-step pipeline: 1. **Scout** — fetches recent news (NewsAPI) and academic papers (Semantic Scholar) for the configured topic. 2. **Critique Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

science-radar is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

science-radar

MIRROR OF https://codeberg.org/emmecola/science-radar - Science Radar is a multi-agent pipeline built with CrewAI that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay. Science Radar is a multi-agent pipeline built with $1 that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay. What it does Each run executes a fixed seven-step pipeline: 1. **Scout** — fetches recent news (NewsAPI) and academic papers (Semantic Scholar) for the configured topic. 2. **Critique

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Emmecola

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

View Source

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Emmecola

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

5

Snippets

0

Languages

python

Executable Examples

bash

# Install uv if you don't have it
pip install uv

# Clone the repo and install dependencies
git clone https://codeberg.org/emmecola/science-radar.git
cd science-radar
uv sync

bash

cp .env.example .env

python

TOPIC = "your topic description"          # plain-language label used in the essay
TOPIC_NEWSAPI = "your NewsAPI query"      # see https://newsapi.org/docs/endpoints/everything
TOPIC_SEMANTIC = "your Semantic Scholar query"  # see https://api.semanticscholar.org/api-docs/

python

NEWS_LIMIT = 30    # number of news articles to fetch
PAPERS_LIMIT = 30  # number of papers to fetch
DAYS_LIMIT = 7     # look back this many days

bash

uv run science_radar

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

MIRROR OF https://codeberg.org/emmecola/science-radar - Science Radar is a multi-agent pipeline built with CrewAI that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay. Science Radar is a multi-agent pipeline built with $1 that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay. What it does Each run executes a fixed seven-step pipeline: 1. **Scout** — fetches recent news (NewsAPI) and academic papers (Semantic Scholar) for the configured topic. 2. **Critique

Full README

Science Radar logo

Python CrewAI License

Science Radar is a multi-agent pipeline built with CrewAI that monitors a scientific topic of your choice, selects the most relevant and novel source from recent news and academic papers, and produces a publication-ready illustrated essay.

What it does

Each run executes a fixed seven-step pipeline:

  1. Scout — fetches recent news (NewsAPI) and academic papers (Semantic Scholar) for the configured topic.
  2. Critique & curate — multiple agents score each source for novelty, scientific rigour, and societal impact. An arbiter selects the single best source and produces a curation brief.
  3. Write — a writer agent drafts a ~700-word essay aimed at an intelligent non-specialist reader.
  4. Editorial critique — an editorial agent reviews the draft for structure, clarity, engagement, and sourcing quality.
  5. Fact-check — a fact-checker verifies every claim against the curation brief and the web.
  6. Revise — the writer incorporates all editorial and fact-check feedback into a final draft.
  7. Illustrate — an illustrator agent writes an image prompt and generates a cover illustration via fal.ai.

Two files are saved to the output/ directory:

  • article_<timestamp>.md — the final illustrated essay, ready to publish.
  • pipeline_<timestamp>.md — a full audit trail with scout data, curation brief, first draft, critique, fact-check, revised article, and illustration prompt + URL.

Installation

Requirements: Python ≥ 3.10, < 3.14 and uv.

# Install uv if you don't have it
pip install uv

# Clone the repo and install dependencies
git clone https://codeberg.org/emmecola/science-radar.git
cd science-radar
uv sync

Configuration

Copy .env.example to .env and fill in the required values:

cp .env.example .env

API keys

| Variable | Required | Description | |---|---|---| | ANTHROPIC_API_KEY | Yes | Anthropic API key for all LLM agents | | FAL_KEY | Yes | fal.ai key for image generation | | NEWSAPI_KEY | Yes | NewsAPI key for news scouting | | BRAVE_API_KEY | Yes | Brave Search key for web fact-checking | | SEMANTIC_SCHOLAR_API_KEY | No | Semantic Scholar key (optional, raises rate limits) |

Models

The pipeline uses four model slots, each tunable independently:

| Variable | Default | Role | |---|---|---| | SCOUT_MODEL | anthropic/claude-haiku-4-5 | Source critique | | CRITIC_MODEL | anthropic/claude-sonnet-4-6 | Editorial critique, fact-check, arbitration | | CURATOR_MODEL | anthropic/claude-opus-4-6 | Curation scoring | | WRITER_MODEL | anthropic/claude-sonnet-4-6 | Writing and illustration | | FAL_MODEL | fal-ai/flux/dev | Image generation |

Topic

Edit src/science_radar/config.py to change the topic:

TOPIC = "your topic description"          # plain-language label used in the essay
TOPIC_NEWSAPI = "your NewsAPI query"      # see https://newsapi.org/docs/endpoints/everything
TOPIC_SEMANTIC = "your Semantic Scholar query"  # see https://api.semanticscholar.org/api-docs/

You can also tune how many sources are fetched and how far back to look:

NEWS_LIMIT = 30    # number of news articles to fetch
PAPERS_LIMIT = 30  # number of papers to fetch
DAYS_LIMIT = 7     # look back this many days

Running

uv run science_radar

Output files are written to output/ in the project root.

This codebase was developed with AI coding assistants.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-04-17T01:30:59.108Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Emmecola",
    "href": "https://github.com/emmecola/science-radar",
    "sourceUrl": "https://github.com/emmecola/science-radar",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:09.027Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:09.027Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-emmecola-science-radar/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to science-radar and adjacent AI workflows.