What makes Pair Programming notable?

2.3K downloads. Trust evidence available

How should Pair Programming 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

Pair Programming

AI pair programming powered by CellCog Desktop. Code, debug, refactor, and build directly on the user's machine. Terminal access, file operations, full development workflows — auto-approved for agents. Skill: Pair Programming Owner: cellcog Summary: AI pair programming powered by CellCog Desktop. Code, debug, refactor, and build directly on the user's machine. Terminal access, file operations, full development workflows — auto-approved for agents. Tags: latest:1.0.15 Version history: v1.0.15 | 2026-08-24T02:04:08.111Z | user Content updated. v1.0.14 | 2026-08-24T01:48:46.580Z | user Content updated. v1.0.13 | 2026-

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.3k

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. 2.3K 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: 2.3K 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:pair-programming-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-pair-programming-cellcog/snapshot"

Documentation

CLAWHUB

85,631 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: pair-programming-cellcog
description: "AI pair programming powered by CellCog Desktop. Code, debug, refactor, and build directly on the user's machine. Terminal access, file operations, full development workflows — auto-approved for agents."
author: CellCog
homepage: https://cellcog.ai
metadata:
  openclaw:
    emoji: "🖥️"
    os: [darwin, linux, windows]
    requires:
      bins: [python3]
      env: [CELLCOG_API_KEY]
dependencies: [cellcog]
---
# Pair Programming — CellCog on Your Machine

Co-work turns any machine into CellCog's workspace. CellCog Desktop acts as a bridge: CellCog's cloud agents coordinate with the desktop app to run commands, read files, and write code directly on the user's machine.

All commands are **auto-approved** for SDK/agent users — fully autonomous, no manual approval needed.

## 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
```

## 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"])
```


---

## Why Co-work?

### Your Machine as a Data Source
Your data lives on the user's machine — project files, databases, logs, configs. Instead of uploading everything, enable co-work with a working directory and CellCog agents explore, read, and reason about the data directly. No file size limits, no upload hassle.

### CellCog as Your Coding Powerhouse
CellCog agents are among the most capable coding agents available — deep reasoning paired with real execution. Enable co-work and delegate complex coding tasks: build websites, APIs, fix bugs, refactor codebases, set up infrastructure.

**CellCog itself is built using this exact co-work capability.**

Think of it as a Claude Code or Cursor alternative, backed by CellCog's multi-agent depth and any-to-any engine.

---

## Quick Start

```python
from cellcog import CellCogClient

client = CellCogClient(agent_provider="openclaw")

# 1. Check if desktop app is connected
status = client.get_desktop_status()

# 2. If not connected, get install instructions
if not status["connected"]:
    info =

_meta.json

{
  "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
  "slug": "pair-programming-cellcog",
  "version": "1.0.15",
  "publishedAt": 1787537048111
}

skill-card.md

## Description:

AI pair programming powered by CellCog Desktop. Code, debug, refactor, and build directly on the user's machine. Terminal access, file operations, full development workflows - auto-approved for agents.

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 external users use this skill to delegate coding tasks to CellCog cloud agents through CellCog Desktop on a local project workspace. It supports code generation, debugging, refactoring, DevOps setup, data pipelines, and documentation workflows.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: CellCog cloud agents may operate on the user's machine with broad unattended access to local commands, files, installation steps, and possibly a real browser profile.

Mitigation: Install only when this remote co-work behavior is intended; use a disposable or tightly scoped project directory and avoid workspaces containing secrets or sensitive repositories.

Risk: Auto-approved commands and desktop installation or lifecycle commands can make local changes without per-command human prompts.

Mitigation: Manually verify desktop installer details, versions, signatures, and commands before running them, and confirm that the CellCog Desktop connection is expected.

Risk: Browser-profile access could expose personal sessions or sensitive browsing data.

Mitigation: Do not grant access to personal browser profiles; use a dedicated profile when browse-enabled workflows are required.

## Reference(s):

- [CellCog homepage](https://cellcog.ai)
- [ClawHub skill page](https://clawhub.ai/cellcog/skills/pair-programming-cellcog)

## Skill Output:

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

**Output Format:** [Markdown guidance with Python and bash code blocks plus JSON-producing CLI command guidance]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; supports darwin, linux, and windows; uses CellCog Desktop for local command and file operations.]

## Skill Version(s):

1.0.15 (source: server 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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