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AionUi
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MCPOPENCLAW
Crawler Summary
media-brief-builder answer-first brief
Automated media brief generator — Flask webhook + CrewAI agents that build formatted PR briefs and deliver via Slack Media Brief Builder Automated media brief generator for PR teams. A Google Form submission triggers a Flask webhook, which kicks off a 5-agent CrewAI pipeline that gathers reporter and client intelligence, assembles a formatted brief, runs deterministic QA, creates a Google Doc, and delivers it via Slack — all in under 5 minutes. Architecture Brief Types Five brief formats with distinct section structures, Q&A counts Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
media-brief-builder 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
media-brief-builder
Automated media brief generator — Flask webhook + CrewAI agents that build formatted PR briefs and deliver via Slack Media Brief Builder Automated media brief generator for PR teams. A Google Form submission triggers a Flask webhook, which kicks off a 5-agent CrewAI pipeline that gathers reporter and client intelligence, assembles a formatted brief, runs deterministic QA, creates a Google Doc, and delivers it via Slack — all in under 5 minutes. Architecture Brief Types Five brief formats with distinct section structures, Q&A counts
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Unpublished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.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Setup snapshot
- 1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 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.
Vendor (1)
Vendor
Thomaschang Avez
profilemedium
Compatibility (1)
Protocol compatibility
OpenClaw
contractmedium
Security (1)
Handshake status
UNKNOWN
trustmedium
Integration (1)
Crawlable docs
6 indexed pages on the official domain
search_documentmedium
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
5
Snippets
0
Languages
python
Executable Examples
text
Google Form → Apps Script → POST /brief
↓
Flask webhook (202 fire-and-forget)
↓
┌───────────────────────────────────────┐
│ CrewAI Pipeline │
│ │
│ Agent 1: Reporter Intelligence │
│ → scrape reporter page │
│ → extract headshot, bio, coverage │
│ → Glean search as fallback │
│ │
│ Agent 2: Client Memory Bank │
│ → 6× Glean searches │
│ → extract talking points verbatim │
│ → pull boilerplate + FAQ │
│ │
│ Agent 3: News Desk │
│ → Serper news search │
│ → 3 relevant articles + bullets │
│ │
│ Agent 4: Senior PR Strategist │
│ → assemble full brief JSON │
│ → opportunity, Q&A, logistics │
│ │
│ Agent 5: QA (deterministic Python) │
│ → validate schema, counts, labels │
│ → no LLM — instant and reliable │
└───────────────────────────────────────┘
↓
brief_builder.py → Google Doc
↓
Slack DM → submitter + adminbash
cp .env.example .env # Fill in your values (Glean, GCP, Slack, Drive) pip install -r requirements.txt python3 app.py
bash
base64 -i ~/.config/gcloud/application_default_credentials.json | tr -d '\n'
bash
python3 config.py # prints all brief type rules python3 brief_standards.py # prints formatting spec python3 qa_checker.py # runs test suite (no API calls)
json
{
"client_name": "Acme Corp",
"exec_name": "Jane Smith",
"reporter_url": "https://techcrunch.com/author/jane-reporter/",
"brief_type": "Interview",
"interview_date": "June 3, 2026",
"interview_time": "10:00 AM ET",
"virtual_or_inperson": "Virtual",
"topic": "AI-driven product development",
"on_record": "On Record",
"staffed": "Yes",
"submitter_email": "[email protected]"
}Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
Automated media brief generator — Flask webhook + CrewAI agents that build formatted PR briefs and deliver via Slack Media Brief Builder Automated media brief generator for PR teams. A Google Form submission triggers a Flask webhook, which kicks off a 5-agent CrewAI pipeline that gathers reporter and client intelligence, assembles a formatted brief, runs deterministic QA, creates a Google Doc, and delivers it via Slack — all in under 5 minutes. Architecture Brief Types Five brief formats with distinct section structures, Q&A counts
Full README
Media Brief Builder
Automated media brief generator for PR teams. A Google Form submission triggers a Flask webhook, which kicks off a 5-agent CrewAI pipeline that gathers reporter and client intelligence, assembles a formatted brief, runs deterministic QA, creates a Google Doc, and delivers it via Slack — all in under 5 minutes.
Architecture
Google Form → Apps Script → POST /brief
↓
Flask webhook (202 fire-and-forget)
↓
┌───────────────────────────────────────┐
│ CrewAI Pipeline │
│ │
│ Agent 1: Reporter Intelligence │
│ → scrape reporter page │
│ → extract headshot, bio, coverage │
│ → Glean search as fallback │
│ │
│ Agent 2: Client Memory Bank │
│ → 6× Glean searches │
│ → extract talking points verbatim │
│ → pull boilerplate + FAQ │
│ │
│ Agent 3: News Desk │
│ → Serper news search │
│ → 3 relevant articles + bullets │
│ │
│ Agent 4: Senior PR Strategist │
│ → assemble full brief JSON │
│ → opportunity, Q&A, logistics │
│ │
│ Agent 5: QA (deterministic Python) │
│ → validate schema, counts, labels │
│ → no LLM — instant and reliable │
└───────────────────────────────────────┘
↓
brief_builder.py → Google Doc
↓
Slack DM → submitter + admin
Brief Types
Five brief formats with distinct section structures, Q&A counts, tips tables, and formatting rules — all sourced from brief_standards.py:
| Type | Q&A | News | TOC | Reporter Section | |---|---|---|---|---| | Interview | 5–7 questions | Required | Yes | Reporter Information | | Intro | 4–5 questions | Optional | No | Reporter Information | | In-Person | 4–5 questions | Optional | No | Reporter Information | | Broadcast | 7+ Q&A w/ answers | Required | Yes | About the Host | | Podcast | None (Expected Topics) | Excluded | No | About the Host |
Intelligence Sources
- Glean — internal knowledge graph (previous briefs, talking points, pitchbooks, FAQ docs)
- Serper — web search for recent news and reporter bylines
- OG/JSON-LD scraping — reporter headshots and social links from outlet pages
- Wikipedia — executive background as final fallback
Stack
- Agents: CrewAI with sequential context chaining
- LLM: Gemini 2.5 Flash via Vertex AI (custom
GeminiLLM(BaseLLM)class with 150s timeout) - Search: Glean enterprise search API + Serper.dev
- Output: Google Drive API — HTML uploaded and converted to native Google Docs
- Notifications: Slack SDK — DMs to submitter, routed by email → user ID
- Deployment: Flask + Gunicorn on Railway
Setup
cp .env.example .env
# Fill in your values (Glean, GCP, Slack, Drive)
pip install -r requirements.txt
python3 app.py
Google Drive credentials
The pipeline writes to Drive using Application Default Credentials. For production deployment (Railway), base64-encode your service account JSON and set it as DRIVE_ADC_BASE64:
base64 -i ~/.config/gcloud/application_default_credentials.json | tr -d '\n'
Validate configuration
python3 config.py # prints all brief type rules
python3 brief_standards.py # prints formatting spec
python3 qa_checker.py # runs test suite (no API calls)
Triggering a brief
Send a POST /brief with a JSON body:
{
"client_name": "Acme Corp",
"exec_name": "Jane Smith",
"reporter_url": "https://techcrunch.com/author/jane-reporter/",
"brief_type": "Interview",
"interview_date": "June 3, 2026",
"interview_time": "10:00 AM ET",
"virtual_or_inperson": "Virtual",
"topic": "AI-driven product development",
"on_record": "On Record",
"staffed": "Yes",
"submitter_email": "[email protected]"
}
Returns 202 Accepted immediately. The Slack DM arrives when the brief is ready (~3–5 minutes).
Files
| File | Purpose |
|---|---|
| app.py | Flask webhook, fire-and-forget threading |
| crew.py | Pipeline orchestration, 5-agent context chain |
| agents.py | Agent definitions + GeminiLLM Vertex AI class |
| tasks.py | Task builders with structured JSON output specs |
| data_gatherer.py | Multi-source reporter + client intelligence gathering |
| tools.py | CrewAI @tool functions (scrape, Glean, Serper, Slack) |
| brief_builder.py | JSON → styled HTML → Google Doc |
| qa_checker.py | Deterministic schema validation (no LLM) |
| brief_standards.py | Single source of truth for all formatting rules |
| config.py | Env vars, BriefRequest dataclass, per-type rule lookup |
Contract & API
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
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-media-brief-builder/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-media-brief-builder/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-media-brief-builder/trust"
Reliability & Benchmarks
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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.
No screenshots, media assets, or demo links are available.
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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-media-brief-builder/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-media-brief-builder/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-media-brief-builder/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-media-brief-builder/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-media-brief-builder/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-media-brief-builder/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-10T01:53:10.153Z"
}
},
"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/media-brief-builder",
"sourceUrl": "https://github.com/thomaschang-avez/media-brief-builder",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T21:25:46.761Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-media-brief-builder/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-media-brief-builder/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T21:25:46.761Z",
"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-media-brief-builder/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-thomaschang-avez-media-brief-builder/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
}
]