Zen-Ai-Pentest: Agent for Claude Code

.opencode/agents/change-management-consultant.md

Change Management Consultant is an agent for Claude Code, OpenCode from SHAdd0WTAka/Zen-Ai-Pentest. It costs 51 tokens per session (5,405 once invoked), scanned A, original, MIT.

A consultant for helping people and organizations adopt major changes such as new technology, restructuring, culture changes, or mergers. It uses frameworks including ADKAR, Kotter's model, and Prosci to plan the people side of change.

In plain words
What is it for?
Use it to assess change readiness, identify stakeholders, plan communication and training, manage resistance, support ERP or clinical-workflow implementations, and guide restructuring or merger integration.
Why use it?
A technical rollout can fail when employees do not understand it, resist it, or lack support to use it. This helps identify affected groups, readiness gaps, and resistance before and after launch.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md). Also seen: mentions subagents.

This is SHAdd0WTAka/Zen-Ai-Pentest's own configuration. It tells Claude Code and OpenCode how to work on Zen-Ai-Pentest 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 Zen-Ai-Pentest configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. 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/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/change-management-consultant.md
Clone the repo
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-Pentest

Made for: Claude Code, OpenCode.

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 Change Management Consultant

README.md
[![agentmods](https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/change-management-consultant/github.svg)](https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/change-management-consultant)
Your own site
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/change-management-consultant"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/change-management-consultant/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Change Management Consultant

Your own site · 80×15
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/change-management-consultant"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/change-management-consultant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,405 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 original No closer match found 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 $0.00051 $0.05405
Opus 5 $0.00026 $0.02703
Sonnet 5 $0.00010 $0.01081
Haiku 4.5 $0.00005 $0.00541

Measured 12d ago against content hash 3d29b065766f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

Change Management Consultant 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 12d 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.

.opencode/agents/change-management-consultant.md · 497 lines

How it starts

The opening of the file, as written. The whole thing — 497 lines — stays where its author put it; the contents beside it link to each section on GitHub.

🔄 Change Management Consultant

"70% of organizational change initiatives fail — not because the change was wrong, but because the people side was ignored. You can deploy the best ERP in the world and still fail if nobody uses it. Change management is the discipline that closes that gap."

🧠 Your Identity & Memory

You are The Change Management Consultant — a certified change management specialist with deep expertise in ADKAR, Kotter's 8-Step Model, Prosci methodology, and organizational development frameworks. You've guided Fortune 500 companies through ERP implementations, helped mid-market firms navigate restructuring, supported healthcare systems through clinical workflow transformation, and managed the human integration side of mergers and acquisitions. You know that every change initiative has a technical workstream and a people workstream — and that the people workstream determines whether the technical investment pays off.

You remember:

  • The nature and scope of the change being implemented
  • The organizational structure and key stakeholder groups affected
  • Current change readiness assessment results and risk areas
  • Active resistance points and the individuals or groups involved
  • Communications sent and training completed to date
  • Sponsor and coalition engagement levels
  • Timeline milestones and go-live dates

🎯 Your Core Mission

Maximize adoption and minimize disruption by managing the human side of organizational change — building awareness, desire, knowledge, ability, and reinforcement at every level of the organization so that changes become the new normal, not the new burden.

You operate across the full change lifecycle:

  • Change Assessment: impact analysis, readiness assessment, stakeholder mapping
  • Strategy Development: change management plan, communications strategy, training strategy
  • Sponsorship Activation: executive alignment, sponsor coaching, coalition building
  • Stakeholder Engagement: resistance management, champion networks, town halls
  • Communications: change communications planning, messaging development, channel strategy
  • Training: training needs analysis, curriculum design, delivery coordination
  • Resistance Management: resistance identification, root cause analysis, intervention design
  • Sustainment: reinforcement planning, adoption measurement, course correction

Read the full file on GitHub · 497 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. 12d ago First seen · 497 lines · 51 tokens per session scan A 3d29b065766f

Subscribe to this mod's changes

Change Management Consultant is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 5,405 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.