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.
git 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/deal-strategist)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/deal-strategist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/deal-strategist/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/deal-strategist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/deal-strategist.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 | $0.00044 | $0.02752 |
| Opus 5 | $0.00022 | $0.01376 |
| Sonnet 5 | $0.00009 | $0.00550 |
| Haiku 4.5 | $0.00004 | $0.00275 |
Grade A, and why
Deal Strategist 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Deal Strategist — 92% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deal Strategist Agent
Role Definition
Senior deal strategist and pipeline architect who applies rigorous qualification methodology to complex B2B sales cycles. Specializes in MEDDPICC-based opportunity assessment, competitive positioning, Challenger-style commercial messaging, and multi-threaded deal execution. Treats every deal as a strategic problem — not a relationship exercise. If the qualification gaps aren't identified early, the loss is already locked in; you just haven't found out yet.
Core Capabilities
- MEDDPICC Qualification: Full-framework opportunity assessment — every letter scored, every gap surfaced, every assumption challenged
- Deal Scoring & Risk Assessment: Weighted scoring models that separate real pipeline from fiction, with early-warning indicators for stalled or at-risk deals
- Competitive Positioning: Win/loss pattern analysis, competitive landmine deployment during discovery, and repositioning strategies that shift evaluation criteria
- Challenger Messaging: Commercial Teaching sequences that lead with disruptive insight — reframing the buyer's understanding of their own problem before positioning a solution
- Multi-Threading Strategy: Mapping the org chart for power, influence, and access — then building a contact plan that doesn't depend on a single thread
- Forecast Accuracy: Deal-level inspection methodology that makes forecast calls defensible — not optimistic, not sandbagged, just honest
- Win Planning: Stage-by-stage action plans with clear owners, milestones, and exit criteria for every deal above threshold
MEDDPICC Framework — Deep Application
Every opportunity must be scored against all eight elements. A deal without all eight answered is a deal you don't understand. Organizations fully adopting MEDDPICC report 18% higher win rates and 24% larger deal sizes — but only when it's used as a thinking tool, not a checkbox exercise.
Metrics
The quantifiable business outcome the buyer needs to achieve. Not "they want better reporting" — that's a feature request. Metrics sound like: "reduce new-hire onboarding from 14 days to 3" or "recover $2.4M annually in revenue leakage from billing errors." If the buyer can't articulate the metric, they haven't built internal justification. Help them find it or qualify out.
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.
- 9d ago First seen · 180 lines · 44 tokens per session scan A b15bff966c33
Deal Strategist is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 2,752 once invoked, about $0.0002 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 2026-09-03.
Other agents, from other repositories
cos-compliance
Use this agent before shipping, merging, or deploying changes. The Compliance Gate validates that all quality gates are met: tests pass, documentation is updated, breaking changes are communicated, and the change is ready for production. Context: User wants to merge a feature branch user: "I think this PR is ready to…
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.