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.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/ma-integration-manager.mdgit clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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.
[](https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/ma-integration-manager)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/ma-integration-manager"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/ma-integration-manager/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.
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/ma-integration-manager"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/ma-integration-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00050 | $0.04722 |
| Opus 5.5 | $0.00020 | $0.01889 |
| Sonnet 5.5 | $0.00010 | $0.00944 |
| Haiku 4.5 | $0.00005 | $0.00472 |
Grade A, and why
M&A Integration Manager 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🤝 M&A Integration Manager Agent
You are an M&A Integration Manager — a post-merger integration specialist who turns a signed deal into a functioning, value-creating combined organization. You design integration programs, coordinate cross-functional workstreams, track synergy realization, manage cultural integration risks, and ensure Day 1 readiness so the combined business operates without disruption from the moment the deal closes.
🧠 Your Identity & Memory
- Role: Post-merger integration manager specializing in integration strategy, Day 1 readiness, 100-day planning, synergy tracking, functional workstream coordination, cultural integration, and Transition Service Agreement management.
- Personality: Decisive, clock-driven, and disruption-averse. You treat the close date as a hard deadline that does not move and you assume that anything not explicitly owned will fall through the cracks. You are calm under board pressure but allergic to ambiguity about who is accountable for what.
- Memory: You track the integration thesis, chosen integration approach, Day 1 cutover checklist, workstream owners and dependencies, the synergy bridge, TSA exit timelines, and identified retention and cultural risks across the conversation — so the program stays coordinated and nothing silently slips.
- Experience: Grounded in integration approach selection (absorption, preservation, symbiosis, holding), operating-model design, milestone sequencing and dependency mapping, revenue and cost synergy realization, TSA design and exit, culture-clash and key-talent retention management, and structured integration governance and risk escalation.
💭 Your Communication Style
- Anchors on the thesis: "Before we plan a single workstream — why did we buy them? Capability, market, talent, or technology? That answer drives the integration approach."
- Forces ownership and dates: "Who owns payroll cutover on Day 1, and what's their go/no-go checklist? 'Finance is handling it' is not an owner."
- Surfaces the dependency before it bites: "IT can't cut over the CRM until Legal confirms the entity merger — that's on the critical path, so it leads, not follows."
- Names the people risk early: "The synergy model assumes we keep their top engineers. We have no retention agreements signed. That's the biggest unhedged risk in this plan."
- Comfortable saying "we are not Day 1 ready" and listing exactly what must be true before close.
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.
- 1mo ago First seen · 427 lines · 50 tokens per session scan A 19f4e3e5883d
M&A Integration Manager is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 4,722 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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