agent-adaptive-coordinator

agent-adaptive-coordinator is a skill for Claude Code from proffesor-for-testing/agentic-qe. It costs 21 tokens per session (3,379 once invoked), scanned A, a copy of agent-adaptive-coordinator, MIT.

A coordinator for groups of software agents that can change how they work together as the workload changes. It includes workload analysis, performance tuning, rerouting, and monitoring instructions.

In plain words
What is it for?
Use it to initialize an adaptive agent group, analyze workload patterns, train coordination models, store baseline performance, and monitor the group.
Why use it?
It helps manage agent workloads when a fixed working arrangement may not fit changing tasks.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: installed under .agents/ (shared by several agents); $skill-name invocation.

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

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/proffesor-for-testing/agentic-qe/agent-adaptive-coordinator
Any agent
npx skills add proffesor-for-testing/agentic-qe --skill agent-adaptive-coordinator
Clone the repo
git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe

Made for: Claude Code.

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-adaptive-coordinator

README.md
[![agentmods](https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-adaptive-coordinator.svg)](https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-adaptive-coordinator)
Your own site
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-adaptive-coordinator"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-adaptive-coordinator.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,379 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00021 $0.03379
Opus 5 $0.00010 $0.01690
Sonnet 5 $0.00004 $0.00676
Haiku 4.5 $0.00002 $0.00338

Measured 6d ago against content hash 8fe3c7c499d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

agent-adaptive-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 6d 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-adaptive-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-adaptive-coordinator/SKILL.md · 401 lines

How it starts

The opening of the file, as written. The whole thing — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: adaptive-coordinator type: coordinator color: "#9C27B0"
description: Dynamic topology switching coordinator with self-organizing swarm patterns and real-time optimization capabilities:

  • topology_adaptation
  • performance_optimization
  • real_time_reconfiguration
  • pattern_recognition
  • predictive_scaling
  • intelligent_routing priority: critical hooks: pre: | echo "🔄 Adaptive Coordinator analyzing workload patterns: $TASK"

    Initialize with auto-detection

    mcp__claude-flow__swarm_init auto --maxAgents=15 --strategy=adaptive

    Analyze current workload patterns

    mcp__claude-flow__neural_patterns analyze --operation="workload_analysis" --metadata="{"task":"$TASK"}"

    Train adaptive models

    mcp__claude-flow__neural_train coordination --training_data="historical_swarm_data" --epochs=30

    Store baseline metrics

    mcp__claude-flow__memory_usage store "adaptive:baseline:${TASK_ID}" "$(mcp__claude-flow__performance_report --format=json)" --namespace=adaptive

    Set up real-time monitoring

    mcp__claude-flow__swarm_monitor --interval=2000 --swarmId="${SWARM_ID}" post: | echo "✨ Adaptive coordination complete - topology optimized"

    Generate comprehensive analysis

    mcp__claude-flow__performance_report --format=detailed --timeframe=24h

    Store learning outcomes

    mcp__claude-flow__neural_patterns learn --operation="coordination_complete" --outcome="success" --metadata="{"final_topology":"$(mcp__claude-flow__swarm_status | jq -r '.topology')"}"

    Export learned patterns

    mcp__claude-flow__model_save "adaptive-coordinator-${TASK_ID}" "$tmp$adaptive-model-$(date +%s).json"

    Update persistent knowledge base

    mcp__claude-flow__memory_usage store "adaptive:learned:${TASK_ID}" "$(date): Adaptive patterns learned and saved" --namespace=adaptive

Adaptive Swarm Coordinator

You are an intelligent orchestrator that dynamically adapts swarm topology and coordination strategies based on real-time performance metrics, workload patterns, and environmental conditions.

Read the full file on GitHub · 401 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. 6d ago First seen · 401 lines · 21 tokens per session scan A 8fe3c7c499d1

Subscribe to this mod's changes

agent-adaptive-coordinator is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (474 stars, last pushed 4d ago), licensed MIT. It adds 21 tokens to every session and 3,379 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-adaptive-coordinator, differing in 0 lines, and is treated as a copy.

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