News Cog

AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, curre...

Security Scan

The skill is an instruction-only wrapper that delegates news/research tasks to the CellCog SDK and its behavior is consistent with its description, but it omits explicit authentication details so you should verify how the CellCog dependency is provisioned before installing.

Purpose & Capability

Name, description, and instructions consistently target news intelligence and brief generation. The declared dependency on a 'cellcog' SDK is expected for this functionality. Minor gap: SKILL.md does not explain authentication/credentials for CellCog (it defers to the cellcog skill), which leaves a missing piece of how the service is authorized in practice.

Instruction Scope

All runtime instructions are scoped to using the CellCog client API (create_chat, chat_mode, etc.). The skill does not instruct the agent to read arbitrary local files, system config, or unrelated environment variables. However, the file repeatedly directs the user/agent to 'read the cellcog skill for the full SDK reference' — that can grant broad runtime discretion depending on what the referenced SDK doc asks the agent to do, so review the referenced SKILL.md for scope.

Install Mechanism

Instruction-only skill with no install spec and no code files. This is low-risk from an install perspective because nothing is downloaded or written during install.

Credentials

No environment variables, secrets, or config paths are declared. In practice, calling an external CellCog service will usually require API credentials or an SDK-provided auth mechanism; the absence of explicit env vars is plausible if the 'cellcog' dependency handles auth elsewhere, but you should confirm where and how API keys/tokens are stored and whether the skill will have access to them.

Persistence & Privilege

always is false and the skill does not request system-wide configuration changes. Model invocation is allowed (the platform default), which is appropriate for a service that performs networked requests; there is no evidence the skill attempts to persist or escalate privileges.

Assessment

This skill appears to be a thin instruction wrapper around the CellCog news SDK and is coherent with its purpose. Before installing: (1) verify the provenance of the 'cellcog' dependency and review that SKILL.md or SDK docs to see how it authenticates and where API keys/tokens must be stored; (2) confirm where your CellCog credentials would be provided (platform secret store, environment variables, or another skill) and ensure you are comfortable granting that access; (3) inspect the referenced 'cellcog' skill for any broader file or network access it requests, since this News Cog defers to it; and (4) consider privacy implications of sending proprietary company queries to an external service and whether outbound data will be logged or used for model training. If you cannot locate or verify the official CellCog SDK and its auth model, delay installing until you can confirm those details.

News Cog - AI News Intelligence Powered by CellCog

Frontier search models with multi-angle research on every query.

CellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.

How to Use

For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.

OpenClaw (fire-and-forget):

result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)

All agents except OpenClaw (blocks until done):

from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])

---

What You Can Get

Daily Briefings

Concise, actionable summaries:

• Morning Briefing: "Give me today's top tech industry news — focus on AI, cloud, and enterprise software"
• Market Open: "Summarize pre-market news affecting FAANG stocks and semiconductor sector"
• Industry Digest: "Summarize this week's most important developments in renewable energy"
• Startup News: "What happened in startup funding this week? Series A+ rounds in fintech"

Example prompt:

"Create a morning briefing for a startup CEO:

Focus areas:

1. AI industry developments (new models, funding, regulations)
2. SaaS market trends and notable deals
3. Macro economic signals (Fed, inflation, tech employment)

Format: Bullet-point brief with one-sentence summaries and source links. Highlight anything that requires immediate attention. Total length: Under 500 words — I need to scan this in 2 minutes."

Competitive Intelligence

Monitor your competitive landscape:

• Competitor Watch: "What has Notion shipped or announced in the last 30 days?"
• Market Moves: "Summarize recent M&A activity in the cybersecurity sector"
• Product Launches: "What new AI developer tools launched this month?"
• Funding Tracker: "List all AI companies that raised $50M+ in the last 2 weeks"

Trend Reports

Deeper analysis of emerging patterns:

• Trend Analysis: "What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments"
• Regulatory Watch: "Summarize new AI regulations proposed or enacted globally in 2026"
• Technology Shifts: "Research the shift from RAG to long-context models — what are the latest developments?"

Custom News Digests

Tailored to your specific needs:

• Role-Specific: "Create a weekly digest for a VP of Engineering at a fintech company"
• Topic-Specific: "Summarize everything published about quantum computing this week"
• Region-Specific: "What's happening in the European tech ecosystem this month?"
• Event Coverage: "Summarize the key announcements from AWS re:Invent 2026"

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Why CellCog for News?

The Technical Edge

CellCog doesn't just search once and summarize — it runs multi-angle research across your query:

1. Multiple search intents: A single news query is decomposed into multiple research angles
2. Frontier search models: SOTA retrieval across hundreds of sources
3. Deep reasoning: Cross-references and synthesizes findings, not just concatenates
4. Citation quality: Sources traced back to original reporting, not aggregator summaries

RSS Feeds / News Aggregators	CellCog News Cog
Raw article firehose	Synthesized, prioritized intelligence
You filter and read	CellCog researches, reasons, and summarizes
Same view for everyone	Tailored to your role, industry, and priorities
Text links only	Structured briefs, PDF reports, or interactive dashboards
Floods your context	Delivers concise, agent-consumable output

Agent-Optimized Output

CellCog News Cog is designed with agent workflows in mind. The output is:

• Concise — won't overwhelm your main agent's context window
• Structured — clear sections, bullet points, and hierarchies
• Actionable — highlights what matters and why
• Sourced — includes citations when requested

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Output Formats

Format	Best For
Structured text	Agent consumption, quick briefings
PDF Report	Professional distribution, archiving
Interactive HTML	Explorable dashboards with filters
Markdown	Integration into docs, wikis, or knowledge bases

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Chat Mode for News

Scenario	Recommended Mode
Daily briefings, quick news summaries	"agent"
Competitive intelligence, single-topic digests	"agent"
Deep trend analysis, comprehensive industry reports	"agent team"

Use "agent" for most news tasks. Daily briefings, competitive monitoring, and news digests execute well.

Use "agent team" for deep trend analysis — when you need multi-source synthesis across dozens of publications and research papers.

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Tips for Better News Intelligence

1. Define your focus: "Tech news" is too broad. "AI infrastructure and developer tools" is focused.

2. Specify timeframe: "Today's news", "this week", "last 30 days" — recency matters.

3. Set the audience: "For a technical audience" vs. "for a board of directors" changes depth and tone.

4. Request structure: "Bullet-point brief under 500 words" vs. "comprehensive PDF report with sections" — be explicit.

5. Ask for citations: "Include source URLs for each item" — when traceability matters.

6. Indicate priority signals: "Highlight anything about regulation changes or major funding rounds" — helps CellCog surface what matters to you.

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If CellCog is not installed

Run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate. OpenClaw users: Run clawhub install cellcog instead. Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.