What makes Coding Agent notable?

2.4K downloads. Trust evidence available

How should Coding Agent 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

Coding Agent

AI coding agent powered by CellCog Co-work. Code generation, debugging, refactoring, codebase exploration, terminal operations — executed directly on your machine. Lightweight with multimedia tools loaded on demand. Skill: Coding Agent Owner: cellcog Summary: AI coding agent powered by CellCog Co-work. Code generation, debugging, refactoring, codebase exploration, terminal operations — executed directly on your machine. Lightweight with multimedia tools loaded on demand. Tags: latest:1.0.15 Version history: v1.0.15 | 2026-08-24T02:01:28.499Z | user Content updated. v1.0.14 | 2026-08-24T01:45:50.351Z | user Content updated. v1.0.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.4k

Updated

Oct 9, 2026

Version

1.0.15

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.4K 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: 2.4K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.15release · observed Aug 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s176q1btpn094ats9b4f9hgfwx83knpk:coding-agent-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-coding-agent-cellcog/snapshot"

Documentation

CLAWHUB

110,186 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: coding-agent-cellcog
description: "AI coding agent powered by CellCog Co-work. Code generation, debugging, refactoring, codebase exploration, terminal operations — executed directly on your machine. Lightweight with multimedia tools loaded on demand."
author: CellCog
homepage: https://cellcog.ai
metadata:
  openclaw:
    emoji: "💻"
    os: [darwin, linux, windows]
    requires:
      bins: [python3]
      env: [CELLCOG_API_KEY]
dependencies: [cellcog]
---
# Coding Agent — The First Coding Agent Built for Agents

When your AI needs to code, it delegates to CodeCog. Direct codebase access, terminal operations, and file editing — executed on the user's machine via CellCog Co-work.

## 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):**
```python
result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
    chat_tier="max",
    enable_cowork=True,
    cowork_working_directory="/path/to/project",
)
```

**All agents except OpenClaw (blocks until done):**
```python
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",
    chat_tier="max",
    enable_cowork=True,
    cowork_working_directory="/path/to/project",
)
print(result["message"])
```


---

## Prerequisites

This skill requires the `cellcog` skill for SDK setup and API calls.

```bash
# Claude Code, Cursor, Codex + 70 more agents
npx skills add cellcog/skills --skill cellcog

# OpenClaw
openclaw skills install @cellcog/cellcog
```

**Read the cellcog skill first** for SDK setup. This skill shows you how to use CellCog as a coding agent.

**CellCog Desktop Required:** The user must have CellCog Desktop installed and running for Co-work (direct machine access). Download at https://cellcog.ai

---

## Quick Start

**OpenClaw agents (fire-and-forget):**
```python
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw")

result = client.create_chat(
    prompt="Refactor the authentication module to use JWT tokens",
    notify_session_key="agent:main:main",  # OpenClaw only
    chat_mode="agent",
    chat_tier="max",
    enable_cowork=True,
    cowork_working_directory="/Users/me/projects/myapp",
    task_label="auth-refactor",
)
```

**All other agents (blocks until done):**
```python
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw")

result = client.create_chat(
    prompt="Refactor the authentication module to use JWT tokens",
    chat_mode="agent",
    chat_tier="max",
    enable_cowork=True,
    cowork_working_directory="/Users/me/projects/myapp",
    task_label="auth-refactor",
)
```

**Key parameters:**
- `chat_mode="agent", cha

_meta.json

{
  "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
  "slug": "coding-agent-cellcog",
  "version": "1.0.15",
  "publishedAt": 1787536888499
}

skill-card.md

## Description:

AI coding agent powered by CellCog Co-work for code generation, debugging, refactoring, codebase exploration, and terminal operations executed on the user's machine.

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 agents use this skill to delegate coding work to CellCog Co-work, including code generation, bug fixing, refactoring, repository exploration, tests, and terminal operations in a specified project directory.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: CellCog Co-work gives a coding agent local project access for file reads, file writes, and terminal commands.

Mitigation: Scope Co-work to a single project directory and review write and command actions before approval.

Risk: Configurable write auto-approval can allow broader changes inside the selected working directory.

Mitigation: Leave write auto-approve disabled unless the installed CellCog components and project scope have been verified.

Risk: The skill depends on separately installed CellCog Desktop/runtime components.

Mitigation: Install only if you trust CellCog and have verified the installed CellCog versions.

## Reference(s):

- [CellCog](https://cellcog.ai)
- [ClawHub Coding Agent Skill](https://clawhub.ai/cellcog/skills/coding-agent-cellcog)

## Skill Output:

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

**Output Format:** [Markdown and text with inline code, shell commands, and configuration snippets]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May produce file edits and terminal actions through CellCog Co-work subject to the user's local approval settings.]

## Skill Version(s):

1.0.15 (source: server release metadata)

## 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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