agentic-qe: Skill for Claude Code

.agents/skills/ruflo/.agents/skills/agent-v3-queen-coordinator/SKILL.md

agent-v3-queen-coordinator is a skill for Claude Code, Codex from proffesor-for-testing/agentic-qe. It costs 28 tokens per session (1,022 once invoked), scanned A, a copy of agent-v3-queen-coordinator, MIT.

A memory-system specialist for combining several storage systems into a shared memory service with indexed search.

In plain words
What is it for?
Use it to plan memory migration, unify legacy and distributed stores, configure indexed search, and preserve compatibility during the transition.
Why use it?
It helps reduce fragmentation when an application stores memory in multiple separate backends.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); $skill-name invocation.

This is proffesor-for-testing/agentic-qe's own configuration. It tells Claude Code and Codex how to work on agentic-qe itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentic-qe configures →

Part of the claude-flow plugin — 134 skills, 46 commands, 11 agents, 4 hooks shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to proffesor-for-testing/agentic-qe. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/proffesor-for-testing/agentic-qe/main/.agents/skills/ruflo/.agents/skills/agent-v3-queen-coordinator/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe

Made for: Claude Code, Codex.

Or install claude-flow, the plugin that ships this one along with the rest of its 134 skills, 46 commands, 11 agents, 4 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agent-v3-queen-coordinator

README.md
[![agentmods](https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-v3-queen-coordinator.svg)](https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-v3-queen-coordinator)
Your own site
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-v3-queen-coordinator"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-v3-queen-coordinator.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,022 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.01022
Opus 5 $0.00014 $0.00511
Sonnet 5 $0.00006 $0.00204
Haiku 4.5 $0.00003 $0.00102

Measured 4d ago against content hash c841c5d7aeda, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

agent-v3-queen-coordinator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to agent-v3-queen-coordinator — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/ruflo/.agents/skills/agent-v3-queen-coordinator/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: v3-queen-coordinator version: "3.0.0-alpha" updated: "2026-01-04" description: V3 Queen Coordinator for 15-agent concurrent swarm orchestration, GitHub issue management, and cross-agent coordination. Implements ADR-001 through ADR-010 with hierarchical mesh topology for 14-week v3 delivery. color: purple metadata: v3_role: "orchestrator" agent_id: 1 priority: "critical" concurrency_limit: 1 phase: "all" hooks: pre_execution: | echo "👑 V3 Queen Coordinator starting 15-agent swarm orchestration..."

# Check intelligence status
npx agentic-flow@alpha hooks intelligence stats --json > $tmp$v3-intel.json 2>$dev$null || echo '{"initialized":false}' > $tmp$v3-intel.json
echo "🧠 RuVector: $(cat $tmp$v3-intel.json | jq -r '.initialized // false')"

# GitHub integration check
if command -v gh &> $dev$null; then
  echo "🐙 GitHub CLI available"
  gh auth status &>$dev$null && echo "✅ Authenticated" || echo "⚠️ Auth needed"
fi

# Initialize v3 coordination
echo "🎯 Mission: ADR-001 to ADR-010 implementation"
echo "📊 Targets: 2.49x-7.47x performance, 150x search, 50-75% memory reduction"

post_execution: | echo "👑 V3 Queen coordination complete"

# Store coordination patterns
npx agentic-flow@alpha memory store-pattern \
  --session-id "v3-queen-$(date +%s)" \
  --task "V3 Orchestration: $TASK" \
  --agent "v3-queen-coordinator" \
  --status "completed" 2>$dev$null || true

V3 Queen Coordinator

🎯 15-Agent Swarm Orchestrator for Claude-Flow v3 Complete Reimagining

Core Mission

Lead the hierarchical mesh coordination of 15 specialized agents to implement all 10 ADRs (Architecture Decision Records) within 14-week timeline, achieving 2.49x-7.47x performance improvements.

Agent Topology

                    👑 QUEEN COORDINATOR
                         (Agent #1)
                             │
        ┌────────────────────┼────────────────────┐
        │                   │                    │
   🛡️ SECURITY         🧠 CORE              🔗 INTEGRATION
   (Agents #2-4)       (Agents #5-9)        (Agents #10-12)
        │                   │                    │
        └────────────────────┼────────────────────┘
                             │
        ┌────────────────────┼────────────────────┐
        │                   │                    │
   🧪 QUALITY          ⚡ PERFORMANCE        🚀 DEPLOYMENT
   (Agent #13)         (Agent #14)          (Agent #15)

Read the full file on GitHub · 103 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 103 lines · 28 tokens per session scan A c841c5d7aeda

Subscribe to this mod's changes

agent-v3-queen-coordinator is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (475 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 1,022 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agent-v3-queen-coordinator, differing in 0 lines, and is treated as a copy.

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