What makes cellcog notable?

18.4K downloads. Trust evidence available

How should cellcog be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

cellcog

Any-to-any AI sub-agent — research, images, video, audio, music, podcasts, avatars, voice cloning, documents, spreadsheets, dashboards, 3D models, diagrams, and code in one request. Agent-to-agent protocol with multi-step iteration for high accuracy. #1 on DeepResearch Bench (Apr 2026) — deep reasoning meets all modalities, so all your work gets done, not just code. Skill: cellcog Owner: cellcog Summary: Any-to-any AI sub-agent — research, images, video, audio, music, podcasts, avatars, voice cloning, documents, spreadsheets, dashboards, 3D models, diagrams, and code in one request. Agent-to-agent protocol with multi-step iteration for high accuracy. #1 on DeepResearch Bench (Apr 2026) — deep reasoning meets all modalities, so all your work gets done, not just code. Tags: latest

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

18k

Updated

Oct 9, 2026

Version

2.0.21

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 18.4K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 18.4K downloadsadoption · observed Oct 9, 2026
Latest release: 2.0.21release · observed Aug 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s176q1btpn094ats9b4f9hgfwx83knpk:cellcog

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
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.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-cellcog/snapshot"

Documentation

CLAWHUB

159,620 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: cellcog
description: "Any-to-any AI sub-agent — research, images, video, audio, music, podcasts, avatars, voice cloning, documents, spreadsheets, dashboards, 3D models, diagrams, and code in one request. Agent-to-agent protocol with multi-step iteration for high accuracy. #1 on DeepResearch Bench (Apr 2026) — deep reasoning meets all modalities, so all your work gets done, not just code."
author: CellCog
homepage: https://cellcog.ai
metadata:
openclaw:
emoji: "🧠"
os: [darwin, linux, windows]
requires:
bins: [python3]
env: [CELLCOG_API_KEY]

---
# CellCog - Any-to-Any for Agents

## The Power of Any-to-Any

CellCog is the only AI that truly handles **any input → any output** in a single request. No tool chaining. No orchestration complexity. One call, multiple deliverables.

CellCog pairs all modalities with frontier-level deep reasoning — as of July 2026, CellCog is **#1 on the DeepResearch Bench** (rankings change frequently; see the live leaderboard for the latest): https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard

### Work With Multiple Files, Any Format

Reference as many documents as you need—all at once:

```python
prompt = """
Analyze all of these together:
<SHOW_FILE>/data/q4_earnings.pdf</SHOW_FILE>
<SHOW_FILE>/data/competitor_analysis.pdf</SHOW_FILE>
<SHOW_FILE>/data/market_research.xlsx</SHOW_FILE>
<SHOW_FILE>/recordings/customer_interview.mp3</SHOW_FILE>
<SHOW_FILE>/designs/product_mockup.png</SHOW_FILE>

Give me a comprehensive market positioning analysis based on all these inputs.
"""
```

File paths must be absolute and enclosed in `<SHOW_FILE>` tags. CellCog understands PDFs, spreadsheets, images, audio, video, code files, and more.

⚠️ **Without SHOW_FILE tags, CellCog only sees the path as text — not the file contents.**

❌ `Analyze /data/sales.csv` — CellCog can't read the file
✅ `Analyze <SHOW_FILE>/data/sales.csv</SHOW_FILE>` — CellCog reads it

### Think of SHOW_FILE like reference files

Just like Nano Banana accepts reference images, CellCog accepts reference files of any type — PDFs, spreadsheets, audio, code, images — as inputs the model reads during a task. Same mental model as any multimodal AI attachment.

**Only attach what you intend to share.** Anything inside a `<SHOW_FILE>` tag is uploaded to CellCog. Don't wrap credentials, private keys, `.env` files, SSH keys, or other sensitive material in SHOW_FILE tags — the same way you wouldn't paste them into Nano Banana, ChatGPT, or any other AI service's file upload.

### Request Multiple Outputs, Different Modalities

Ask for completely different output types in ONE request:

```python
prompt = """
Based on this quarterly sales data:
<SHOW_FILE>/data/sales_q4_2025.csv</SHOW_FILE>

Create ALL of the following:
1. A PDF executive summary report with charts
2. An interactive HTML dashboard for the leadership team
3. A 60-second video presentation for the all-hands meeting
4. A slide deck for the board presentation

_meta.json

{
  "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
  "slug": "cellcog",
  "version": "2.0.21",
  "publishedAt": 1787536261035
}

skill-card.md

## Description:

CellCog lets agents send multimodal tasks to the CellCog service for research, analysis, generation, and deliverables such as images, video, audio, documents, dashboards, 3D models, diagrams, and code.

This skill is ready for commercial/non-commercial use.

## Publisher:

[cellcog](https://clawhub.ai/user/cellcog)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and agent users use this skill to offload multimodal research, analysis, generation, and coding tasks to CellCog, including requests that produce files or other deliverables.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Files explicitly tagged for CellCog are uploaded to the CellCog service.

Mitigation: Only tag files intended for the task, and avoid sharing credentials, private keys, .env files, SSH keys, or other sensitive material.

Risk: Optional browser and SaaS tool access can expose account or workspace data.

Mitigation: Enable browser or connected-tool access only when the task requires it, and choose the narrowest useful browser profile or toolkit selection.

Risk: Using the CellCog SDK adds a locally installed dependency to the agent environment.

Mitigation: Install it only in an environment where running the SDK is acceptable, and consider pinning the package version.

## Reference(s):

- [ClawHub Skill Listing](https://clawhub.ai/cellcog/skills/cellcog)
- [CellCog Homepage](https://cellcog.ai)
- [CellCog Python SDK](https://github.com/CellCog/cellcog_python)
- [CellCog PyPI Package](https://pypi.org/project/cellcog/)
- [DeepResearch Bench Leaderboard](https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard)

## Skill Output:

**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance, Files]

**Output Format:** [Markdown guidance with Python and shell command examples, plus generated file paths when CellCog returns artifacts.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Responses may include downloaded artifact paths, completion status, and credit usage from the CellCog SDK.]

## Skill Version(s):

2.0.21 (source: release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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