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Everything Claude Code

BYaffaan-m147,444GRADE A

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Config Installation

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "everything-claude-code": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-everything-claude-code"
      ]
    }
  }
}

* Note: Requires restart of Claude Desktop app.

Adoption Framework for Everything Claude Code

Before installing any skill, define a clear objective and measurable outcome. A useful implementation question is: what workflow becomes faster, safer, or more reliable after this skill is active? If that answer is vague, delay rollout and tighten scope first.

For most teams, a low-risk pattern is preview-first rollout with one owner, one test scenario, and one rollback plan. Capture failures in a structured log so quality decisions are evidence-based. This is especially important for skills that touch file systems, external APIs, or automation chains with downstream side effects.

  • Define success metrics before installation.
  • Validate permission scope against policy boundaries.
  • Run one controlled pilot and document failure categories.
  • Promote only after acceptance checks pass consistently.

Pre-Deployment Review Questions

Use these questions before enabling the skill in shared environments. They reduce surprise incidents and make approval decisions consistent across teams.

  • What data can this skill read, write, or transmit by default?
  • Which failures are recoverable automatically and which require manual stop?
  • Do we have verifiable logs that prove safe behavior under load?
  • Is rollback tested, documented, and assigned to a clear owner?

If any answer is unclear, keep rollout in preview and close the gap before production use.

Editorial Review Snapshot

This listing includes an editorial QA layer in addition to automated rendering. Review status is based on documentation depth, content uniqueness, and operational safety signals from the upstream repository.

  • Last scan date: 2026-04-09
  • README depth: 0 words
  • Content diversity score: 0.00 (higher is better)
  • Template signal count: 0
  • Index status: Quality review hold (noindex)

Recommendation: Keep this skill in review mode. Add a richer implementation guide and concrete failure-mode evidence before requesting broader index coverage.

This page remains accessible to users, but it is excluded from search indexing until editorial enrichment is complete.

Skill Implementation Board

Actionable utility module for rollout decisions. Use the inputs below to choose a deployment path, then execute the checklist and record an output note.

Input: Security Grade

A

Input: Findings

0

Input: README Depth

0 words

Input: Index State

Hold

Decision TriggerActionExpected Output
Input: risk band low, docs thin, findings 0Run a preview pilot with fixed ownership and observability checkpoints.Pilot can start with rollback checklist attached.
Input: page is on index holdKeep rollout internal and add concrete implementation evidence.Editorial unblock ticket with measurable proof points.
Input: context tags/scenarios are missingDefine two concrete scenarios before broad rollout.Clear scope definition before further deployment.

Execution Steps

  1. Capture objective, owner, and rollback contact.
  2. Run one preview pilot with fixed test scenario.
  3. Record warning behavior and recovery evidence.
  4. Promote only if pilot output matches expected threshold.

Output Template

skill=everything-claude-code
mode=A
pilot_result=pass|fail
warning_count=0
next_step=rollout|patch|hold

🛡️ Security Analysis

SCANNED: 2026-04-09
SCORE: 92/100

Clean Scan Report

Our static analysis engine detected no common vulnerabilities (RCE, API Leaks, Unbounded FS).

Related Use Cases

MC
Marcus ChenAI Infrastructure & Security Lead

Marcus specializes in AI agent security analysis and MCP server architecture. He leads the security grading system used across AgentSkillsHub, combining static code analysis with runtime permission auditing to evaluate real-world deployment risk.

  • CISSP Certified, 6 years in application security
  • Former security engineer at cloud infrastructure company
  • Open-source contributor to MCP protocol tooling
Published: 2026-04-09Updated: 2026-04-15githublinkedin