Rank
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (spawn in temp dir), (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit), reading code (use read tool), or any work in ~/clawd workspace (never spawn agents here). Requires a bash tool that supports pty:true. --- name: coding-agent description: "Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (spawn in temp dir), (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit), reading code (use read tool), or any work in ~/clawd workspace (never spawn agen Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.
Freshness
Last checked 2/24/2026
Best For
coding-agent is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (spawn in temp dir), (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit), reading code (use read tool), or any work in ~/clawd workspace (never spawn agents here). Requires a bash tool that supports pty:true. --- name: coding-agent description: "Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (spawn in temp dir), (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit), reading code (use read tool), or any work in ~/clawd workspace (never spawn agen
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 24, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 24, 2026
Vendor
Nkchivas
Artifacts
0
Benchmarks
0
Last release
Unpublished
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 2/24/2026.
Setup snapshot
git clone https://github.com/nkchivas/openclaw-skill-coding-agent.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Nkchivas
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
# โ Correct - with PTY bash pty:true command:"codex exec 'Your prompt'" # โ Wrong - no PTY, agent may break bash command:"codex exec 'Your prompt'"
bash
# Quick chat (Codex needs a git repo!) SCRATCH=$(mktemp -d) && cd $SCRATCH && git init && codex exec "Your prompt here" # Or in a real project - with PTY! bash pty:true workdir:~/Projects/myproject command:"codex exec 'Add error handling to the API calls'"
bash
# Start agent in target directory (with PTY!) bash pty:true workdir:~/project background:true command:"codex exec --full-auto 'Build a snake game'" # Returns sessionId for tracking # Monitor progress process action:log sessionId:XXX # Check if done process action:poll sessionId:XXX # Send input (if agent asks a question) process action:write sessionId:XXX data:"y" # Submit with Enter (like typing "yes" and pressing Enter) process action:submit sessionId:XXX data:"yes" # Kill if needed process action:kill sessionId:XXX
bash
# Quick one-shot (auto-approves) - remember PTY! bash pty:true workdir:~/project command:"codex exec --full-auto 'Build a dark mode toggle'" # Background for longer work bash pty:true workdir:~/project background:true command:"codex --yolo 'Refactor the auth module'"
bash
# Clone to temp for safe review REVIEW_DIR=$(mktemp -d) git clone https://github.com/user/repo.git $REVIEW_DIR cd $REVIEW_DIR && gh pr checkout 130 bash pty:true workdir:$REVIEW_DIR command:"codex review --base origin/main" # Clean up after: trash $REVIEW_DIR # Or use git worktree (keeps main intact) git worktree add /tmp/pr-130-review pr-130-branch bash pty:true workdir:/tmp/pr-130-review command:"codex review --base main"
bash
# Fetch all PR refs first git fetch origin '+refs/pull/*/head:refs/remotes/origin/pr/*' # Deploy the army - one Codex per PR (all with PTY!) bash pty:true workdir:~/project background:true command:"codex exec 'Review PR #86. git diff origin/main...origin/pr/86'" bash pty:true workdir:~/project background:true command:"codex exec 'Review PR #87. git diff origin/main...origin/pr/87'" # Monitor all process action:list # Post results to GitHub gh pr comment <PR#> --body "<review content>"
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (spawn in temp dir), (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit), reading code (use read tool), or any work in ~/clawd workspace (never spawn agents here). Requires a bash tool that supports pty:true. --- name: coding-agent description: "Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (spawn in temp dir), (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit), reading code (use read tool), or any work in ~/clawd workspace (never spawn agen
Use bash (with optional background mode) for all coding agent work. Simple and effective.
Coding agents (Codex, Claude Code, Pi) are interactive terminal applications that need a pseudo-terminal (PTY) to work correctly. Without PTY, you'll get broken output, missing colors, or the agent may hang.
Always use pty:true when running coding agents:
# โ
Correct - with PTY
bash pty:true command:"codex exec 'Your prompt'"
# โ Wrong - no PTY, agent may break
bash command:"codex exec 'Your prompt'"
| Parameter | Type | Description |
| ------------ | ------- | --------------------------------------------------------------------------- |
| command | string | The shell command to run |
| pty | boolean | Use for coding agents! Allocates a pseudo-terminal for interactive CLIs |
| workdir | string | Working directory (agent sees only this folder's context) |
| background | boolean | Run in background, returns sessionId for monitoring |
| timeout | number | Timeout in seconds (kills process on expiry) |
| elevated | boolean | Run on host instead of sandbox (if allowed) |
| Action | Description |
| ----------- | ---------------------------------------------------- |
| list | List all running/recent sessions |
| poll | Check if session is still running |
| log | Get session output (with optional offset/limit) |
| write | Send raw data to stdin |
| submit | Send data + newline (like typing and pressing Enter) |
| send-keys | Send key tokens or hex bytes |
| paste | Paste text (with optional bracketed mode) |
| kill | Terminate the session |
For quick prompts/chats, create a temp git repo and run:
# Quick chat (Codex needs a git repo!)
SCRATCH=$(mktemp -d) && cd $SCRATCH && git init && codex exec "Your prompt here"
# Or in a real project - with PTY!
bash pty:true workdir:~/Projects/myproject command:"codex exec 'Add error handling to the API calls'"
Why git init? Codex refuses to run outside a trusted git directory. Creating a temp repo solves this for scratch work.
For longer tasks, use background mode with PTY:
# Start agent in target directory (with PTY!)
bash pty:true workdir:~/project background:true command:"codex exec --full-auto 'Build a snake game'"
# Returns sessionId for tracking
# Monitor progress
process action:log sessionId:XXX
# Check if done
process action:poll sessionId:XXX
# Send input (if agent asks a question)
process action:write sessionId:XXX data:"y"
# Submit with Enter (like typing "yes" and pressing Enter)
process action:submit sessionId:XXX data:"yes"
# Kill if needed
process action:kill sessionId:XXX
Why workdir matters: Agent wakes up in a focused directory, doesn't wander off reading unrelated files (like your soul.md ๐ ).
Model: gpt-5.2-codex is the default (set in ~/.codex/config.toml)
| Flag | Effect |
| --------------- | -------------------------------------------------- |
| exec "prompt" | One-shot execution, exits when done |
| --full-auto | Sandboxed but auto-approves in workspace |
| --yolo | NO sandbox, NO approvals (fastest, most dangerous) |
# Quick one-shot (auto-approves) - remember PTY!
bash pty:true workdir:~/project command:"codex exec --full-auto 'Build a dark mode toggle'"
# Background for longer work
bash pty:true workdir:~/project background:true command:"codex --yolo 'Refactor the auth module'"
โ ๏ธ CRITICAL: Never review PRs in OpenClaw's own project folder! Clone to temp folder or use git worktree.
# Clone to temp for safe review
REVIEW_DIR=$(mktemp -d)
git clone https://github.com/user/repo.git $REVIEW_DIR
cd $REVIEW_DIR && gh pr checkout 130
bash pty:true workdir:$REVIEW_DIR command:"codex review --base origin/main"
# Clean up after: trash $REVIEW_DIR
# Or use git worktree (keeps main intact)
git worktree add /tmp/pr-130-review pr-130-branch
bash pty:true workdir:/tmp/pr-130-review command:"codex review --base main"
# Fetch all PR refs first
git fetch origin '+refs/pull/*/head:refs/remotes/origin/pr/*'
# Deploy the army - one Codex per PR (all with PTY!)
bash pty:true workdir:~/project background:true command:"codex exec 'Review PR #86. git diff origin/main...origin/pr/86'"
bash pty:true workdir:~/project background:true command:"codex exec 'Review PR #87. git diff origin/main...origin/pr/87'"
# Monitor all
process action:list
# Post results to GitHub
gh pr comment <PR#> --body "<review content>"
# With PTY for proper terminal output
bash pty:true workdir:~/project command:"claude 'Your task'"
# Background
bash pty:true workdir:~/project background:true command:"claude 'Your task'"
bash pty:true workdir:~/project command:"opencode run 'Your task'"
# Install: npm install -g @mariozechner/pi-coding-agent
bash pty:true workdir:~/project command:"pi 'Your task'"
# Non-interactive mode (PTY still recommended)
bash pty:true command:"pi -p 'Summarize src/'"
# Different provider/model
bash pty:true command:"pi --provider openai --model gpt-4o-mini -p 'Your task'"
Note: Pi now has Anthropic prompt caching enabled (PR #584, merged Jan 2026)!
For fixing multiple issues in parallel, use git worktrees:
# 1. Create worktrees for each issue
git worktree add -b fix/issue-78 /tmp/issue-78 main
git worktree add -b fix/issue-99 /tmp/issue-99 main
# 2. Launch Codex in each (background + PTY!)
bash pty:true workdir:/tmp/issue-78 background:true command:"pnpm install && codex --yolo 'Fix issue #78: <description>. Commit and push.'"
bash pty:true workdir:/tmp/issue-99 background:true command:"pnpm install && codex --yolo 'Fix issue #99 from the approved ticket summary. Implement only the in-scope edits and commit after review.'"
# 3. Monitor progress
process action:list
process action:log sessionId:XXX
# 4. Create PRs after fixes
cd /tmp/issue-78 && git push -u origin fix/issue-78
gh pr create --repo user/repo --head fix/issue-78 --title "fix: ..." --body "..."
# 5. Cleanup
git worktree remove /tmp/issue-78
git worktree remove /tmp/issue-99
When you spawn coding agents in the background, keep the user in the loop.
This prevents the user from seeing only "Agent failed before reply" and having no idea what happened.
For long-running background tasks, append a wake trigger to your prompt so OpenClaw gets notified immediately when the agent finishes (instead of waiting for the next heartbeat):
... your task here.
When completely finished, run this command to notify me:
openclaw system event --text "Done: [brief summary of what was built]" --mode now
Example:
bash pty:true workdir:~/project background:true command:"codex --yolo exec 'Build a REST API for todos.
When completely finished, run: openclaw system event --text \"Done: Built todos REST API with CRUD endpoints\" --mode now'"
This triggers an immediate wake event โ Skippy gets pinged in seconds, not 10 minutes.
pty:true, output breaks or agent hangs.mktemp -d && git init for scratch work.codex exec "prompt" runs and exits cleanly - perfect for one-shots.submit to send input + Enter, write for raw data without newline.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
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/snapshot"
curl -s "https://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/contract"
curl -s "https://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/trust"
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | ๐ Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T00:31:45.197Z"
}
},
"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"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"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": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Nkchivas",
"href": "https://github.com/nkchivas/openclaw-skill-coding-agent",
"sourceUrl": "https://github.com/nkchivas/openclaw-skill-coding-agent",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:44:26.705Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-24T19:44:26.705Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/nkchivas-openclaw-skill-coding-agent/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub ยท 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
}
]Sponsored
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