Mmcp.market

cog-url-extraction skill

by a5c-ai·a5c-ai/babysitter·1.8k stars·MIT

Save URLs with auto-extracted insights, credibility scoring, and vault routing

A100/100content scan

Is the cog-url-extraction skill safe?

Clean: nothing in its files matched our rules. We read 2 files in the folder on 2026-09-28.

No findings.

Install the cog-url-extraction skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description. 

git clone --depth 1 https://github.com/a5c-ai/babysitter.git /tmp/babysitter
mkdir -p ~/.claude/skills
cp -r /tmp/babysitter/library/methodologies/cog-second-brain/skills/url-extraction ~/.claude/skills/cog-url-extraction
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

  • Extract: title, summary, key takeaways, relevant quotes
  • Assess source credibility and assign confidence levels
  • Classify extracted insights by domain
  • Route insights to appropriate vault sections
  • Create cross-references to related vault entries

Tool Use Instructions

  1. Use web-fetch to retrieve URL content
  2. Extract key insights: title, summary, takeaways, quotes
  3. Assess source credibility using domain reputation and content quality
  4. Use file-read to find related existing vault entries
  5. Use file-write to store extracted insights in markdown format
  6. Add cross-references to related entries
  7. Use git-commit to commit extracted insights

Examples

{
  "vaultPath": "./cog-vault",
  "captureType": "url-dump",
  "urls": [
    "https://example.com/interesting-article",
    "https://blog.example.com/deep-dive-post"
  ],
  "targetQuality": 80
}

More skills from a5c-ai/babysitter

  • Aadversarial-reviewFresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.
  • Aagent-boosterWASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.
  • Aagent-coordinationCoordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
  • Aagent-dispatch
  • Aanti-driftHierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.
  • Aarchitecture-design
  • Aarchitecture-patternsSystem and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
  • Aassimilate-popular-workflowsThis skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
  • Aaudit-trail
  • AbabysitOrchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
  • Ababysit-babysitter-issuesThis skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues", "process babysitter issues", or wants to find and work on open GitHub issues assigned to a5c-agent in the babysitter repo.
  • Abehavior-contractBug condition/postcondition formalization as testable Behavior Contracts. Defines invariants that must be preserved across fixes.

All agent skills → · MCP servers