Crawler Summary

pr-newsjacking-agent answer-first brief

Automated PR newsjacking pipeline — CrewAI agents that monitor news, score articles, match reporters, and draft pitches PR Newsjacking Pipeline Automated PR newsjacking pipeline. Monitors Muck Rack Slack channels across all clients, scores articles against client pitchbooks, matches Tier 1 reporters, drafts personalized pitch emails, creates Google Docs, and posts daily Slack summaries. Runs Monday–Friday on a schedule. All inference routes through Gemini via Vertex AI — client data stays in the enterprise environment. Architecture Fo Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

pr-newsjacking-agent 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

Agent DossierGITHUB REPOSSafety: 66/100

pr-newsjacking-agent

Automated PR newsjacking pipeline — CrewAI agents that monitor news, score articles, match reporters, and draft pitches PR Newsjacking Pipeline Automated PR newsjacking pipeline. Monitors Muck Rack Slack channels across all clients, scores articles against client pitchbooks, matches Tier 1 reporters, drafts personalized pitch emails, creates Google Docs, and posts daily Slack summaries. Runs Monday–Friday on a schedule. All inference routes through Gemini via Vertex AI — client data stays in the enterprise environment. Architecture Fo

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Thomaschang Avez

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Unpublished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 10/9/2026.

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

Thomaschang Avez

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 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

Artifacts Archive

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

Self-declaredGITHUB REPOS

Extracted files

0

Examples

2

Snippets

0

Languages

python

Executable Examples

text

Muck Rack Slack channels
  → filters.py       Article extraction + deduplication (cap 10/client)
  → PR-6 Agent       Score articles 1–10 against pitchbook, select top 3 at 7+
  → PR-7 Agent       Match named Tier 1 reporters from internal media lists
  → PR-7s Agent      Web search supplement if <2 Tier 1 reporters found
  → PR-8 Agent       Draft personalized 4-paragraph pitches per angle × reporter
  → crew.py          Create Google Doc + post Slack summary

bash

pip install -r requirements.txt
cp .env.example .env
# Fill in all values in .env

# Single client
python main.py "Client Name"

# All clients
python main.py

# Fetch news only, no agents
python main.py --dry-run "Client Name"

# Weekday-only schedule mode
python main.py --schedule

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Automated PR newsjacking pipeline — CrewAI agents that monitor news, score articles, match reporters, and draft pitches PR Newsjacking Pipeline Automated PR newsjacking pipeline. Monitors Muck Rack Slack channels across all clients, scores articles against client pitchbooks, matches Tier 1 reporters, drafts personalized pitch emails, creates Google Docs, and posts daily Slack summaries. Runs Monday–Friday on a schedule. All inference routes through Gemini via Vertex AI — client data stays in the enterprise environment. Architecture Fo

Full README

PR Newsjacking Pipeline

Automated PR newsjacking pipeline. Monitors Muck Rack Slack channels across all clients, scores articles against client pitchbooks, matches Tier 1 reporters, drafts personalized pitch emails, creates Google Docs, and posts daily Slack summaries.

Runs Monday–Friday on a schedule. All inference routes through Gemini via Vertex AI — client data stays in the enterprise environment.

Architecture

Four sequential CrewAI agents per client:

Muck Rack Slack channels
  → filters.py       Article extraction + deduplication (cap 10/client)
  → PR-6 Agent       Score articles 1–10 against pitchbook, select top 3 at 7+
  → PR-7 Agent       Match named Tier 1 reporters from internal media lists
  → PR-7s Agent      Web search supplement if <2 Tier 1 reporters found
  → PR-8 Agent       Draft personalized 4-paragraph pitches per angle × reporter
  → crew.py          Create Google Doc + post Slack summary

Scoring Criteria (PR-6)

All four evaluated per article:

  1. External source only — PR wires and aggregators auto-disqualified
  2. Pitchbook value prop connection — must tie to a specific named value prop
  3. Recency — articles older than 7 days cannot score above 6
  4. Journalist credibility — would a WSJ/Bloomberg/CNBC reporter write a follow-up?

Output States

| State | Meaning | |-------|---------| | SUCCESS | 1+ angles scored 7+/10 — Slack alert + Google Doc with full pitches | | NO_QUALIFYING_ANGLES | Articles found but none met the threshold | | NO_NEWS | Zero articles in the past 7 days | | ERROR | Pipeline exception — on-call engineer notified |

Stack

  • Python, CrewAI
  • Gemini 2.5 Flash via Vertex AI (custom GeminiLLM class)
  • Glean API (enterprise search + document reader)
  • Slack API (Muck Rack channel monitoring + notifications)
  • Google Drive API (pitch doc creation)
  • Google Sheets (client config)
  • Serper.dev (web search supplement)

Setup

pip install -r requirements.txt
cp .env.example .env
# Fill in all values in .env

# Single client
python main.py "Client Name"

# All clients
python main.py

# Fetch news only, no agents
python main.py --dry-run "Client Name"

# Weekday-only schedule mode
python main.py --schedule

Client Configuration

Clients are loaded from a Google Sheet with columns: Client Name | Industry | MR Client News ID | MR Industry News ID | MR Competitors ID | Output Channel ID | Pitchbook URL | FAQ URL | Strategy URL

Each client gets 3–4 dedicated Muck Rack Slack channels monitored by the pipeline.

Files

| File | Purpose | |------|---------| | config.py | Env config, ClientConfig dataclass, Google Sheets loader, blocked domain list | | filters.py | Reads Muck Rack Slack channels, extracts article links, dedupes, caps at 10 | | agents.py | GeminiLLM custom LLM class + four agent builders | | tasks.py | Task builders with full scoring rubrics, reporter standards, JSON output schemas | | crew.py | Orchestrates full pipeline per client, Google Doc creation, Slack notifications | | main.py | CLI entry point — single client, all clients, dry-run, schedule modes | | tools.py | CrewAI tool wrappers: Glean Search, Glean Document Reader, Web Search, Slack |

Contract & API

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

MissingGITHUB REPOS

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://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/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 ReposUpdated 7h agoRank 70

AionUi

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!

MCPOPENCLAW
Github ReposUpdated 6mo agoRank 70

activepieces

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

OPENCLAW
Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW
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://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T01:53:04.397Z"
    }
  },
  "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": "Thomaschang Avez",
    "href": "https://github.com/thomaschang-avez/pr-newsjacking-agent",
    "sourceUrl": "https://github.com/thomaschang-avez/pr-newsjacking-agent",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T21:25:48.234Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T21:25:48.234Z",
    "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://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-pr-newsjacking-agent/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 pr-newsjacking-agent and adjacent AI workflows.