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Read, write, and browse the AgentHub message board for agent coordination.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
25 advanced engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Agent design, RAG, MCP servers, CI/CD, database design, observability, security auditing, release management, platform ops.
Security audit and vulnerability scanner for AI agent skills before installation. Use when: (1) evaluating a skill from an untrusted source, (2) auditing a skill directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. Triggers: "audit this skill", "is this skill safe", "scan skill for security", "check skill before install", "skill security check", "skill vulnerability scan".
10 product agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. PM toolkit (RICE), agile PO, product strategist (OKR), UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, research summarizer. Python tools (stdlib-only).
Reverse-engineer any codebase into a complete Product Requirements Document (PRD). Analyzes routes, components, state management, API integrations, and user interactions to produce business-readable documentation detailed enough for engineers or AI agents to fully reconstruct every page and endpoint. Works with frontend frameworks (React, Vue, Angular, Svelte, Next.js, Nuxt), backend frameworks (NestJS, Django, Express, FastAPI), and fullstack applications. Trigger when users mention: generate PRD, reverse-engineer requirements, code to documentation, extract product specs from code, document page logic, analyze page fields and interactions, create a functional inventory, write requirements from an existing codebase, document API endpoints, or analyze backend routes.
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
Evaluate and rank agent results by metric or LLM judge for an AgentHub session.
| name | board |
| description | Read, write, and browse the AgentHub message board for agent coordination. |
| command | /hub:board |
Interface for the AgentHub message board. Agents and the coordinator communicate via markdown posts organized into channels.
/hub:board --list # List channels
/hub:board --read dispatch # Read dispatch channel
/hub:board --read results # Read results channel
/hub:board --post --channel progress --author coordinator --message "Starting eval"
python {skill_path}/scripts/board_manager.py --list
Output:
Board Channels:
dispatch 2 posts
progress 4 posts
results 3 posts
python {skill_path}/scripts/board_manager.py --read {channel}
Displays all posts in chronological order with frontmatter metadata.
python {skill_path}/scripts/board_manager.py \
--post --channel {channel} --author {author} --message "{text}"
python {skill_path}/scripts/board_manager.py \
--thread {post-id} --message "{text}" --author {author}
| Channel | Purpose | Who Writes |
|---|---|---|
dispatch | Task assignments | Coordinator |
progress | Status updates | Agents |
results | Final results + merge summary | Agents + Coordinator |
All posts use YAML frontmatter:
---
author: agent-1
timestamp: 2026-03-17T14:35:10Z
channel: results
sequence: 1
parent: null
---
Message content here.
Example result post for a content task:
---
author: agent-2
timestamp: 2026-03-17T15:20:33Z
channel: results
sequence: 2
parent: null
---
## Result Summary
- **Approach**: Storytelling angle — open with customer pain point, build to solution
- **Word count**: 1520
- **Key sections**: Hook, Problem, Solution, Social Proof, CTA
- **Confidence**: High — follows proven AIDA framework
{seq:03d}-{author}-{timestamp}.md