parallel-web/status
Check running research task status by run ID
Check running research task status by run ID
npx skills add https://github.com/parallel-web/parallel-agent-skills/tree/main/skills/statusCheck running research task status by run ID
This repo contains 8 individual skills — each has its own dedicated page.
Bulk data enrichment. Adds web-sourced fields (CEO names, funding, contact info) to lists of companies, people, or products. Use for enriching CSV files or inline data. Supports multi-turn: pass --previous-interaction-id from a prior research task to carry context forward.
ONLY use when user explicitly says 'deep research', 'exhaustive', 'comprehensive report', or 'thorough investigation'. Slower and more expensive than parallel-web-search. For normal research/lookup requests, use parallel-web-search instead. Supports multi-turn: pass --previous-interaction-id from a prior research or enrichment to continue with context.
Discover entities (companies, people, products, etc.) matching a natural-language description. Use when the user asks to 'find all X' or 'list every Y that…' — e.g., 'Find AI startups that raised Series A in 2026', 'List roofing companies in Charlotte NC', 'Show me YC W24 dev tools companies'. Different from web-search (which returns webpages) and deep-research (which returns a narrative report). Use this when the user wants a structured list of entities.
Continuously track the web for changes on a recurring cadence. Use when the user asks to 'monitor', 'track changes to', 'watch', or 'alert me when' something on the web changes — e.g., 'Track price changes for iPhone 16', 'Alert me when Tesla files a new 8-K', 'Monitor competitor pricing pages weekly'. Also use to list, inspect, update, or delete existing monitors.
URL content extraction. Use for fetching any URL - webpages, articles, PDFs, JavaScript-heavy sites. Token-efficient: runs in forked context. Prefer over built-in WebFetch.
DEFAULT for all research and web queries. Use for any lookup, research, investigation, or question needing current info. Fast and cost-effective. Only use parallel-deep-research if user explicitly requests 'deep' or 'exhaustive' research.
Get completed research task result by run ID
Set up the Parallel plugin (install CLI)
Agent Governance & Assurance — AI Agent Skill security scanner. Rule-first detection of malicious agent skills with optional LLM deep analysis. YAML-based plugin system, MalSkillBench integration.
🔍 Claude Code deep research skill — Three-layer search orchestration (Grok + Exa + Browser) with intelligent routing and formatted reports
Analyze code with AppSec skills for SAST, threat modeling, PR review, and serialization audits using evidence-first security workflows
Personal dotfile-style CLI for managing AI agent skills
Agent skill repository for susiloandreas/ai-military-productivity-assistant-openclaw-skill.
QClaw Agent workspace: skills, agents config, and personal knowledge base