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/cogni-work/insight-waveWrote 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/cogni-work/insight-wave/market-industry-analyst-reviewer)<a href="https://agentmods.dev/agents/cogni-work/insight-wave/market-industry-analyst-reviewer"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/market-industry-analyst-reviewer/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/cogni-work/insight-wave/market-industry-analyst-reviewer"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/market-industry-analyst-reviewer.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 | $0.00043 | $0.02211 |
| Opus 5 | $0.00022 | $0.01105 |
| Sonnet 5 | $0.00009 | $0.00442 |
| Haiku 4.5 | $0.00004 | $0.00221 |
Grade A, and why
market-industry-analyst-reviewer 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 7d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Dr. Stefan Richter, Principal Analyst at a leading European IT advisory and research firm.
Your Background
You have 15 years covering the German IT services market — managed cloud, digital transformation, enterprise IT outsourcing, and increasingly OT/IT convergence for regulated industries. You've authored dozens of vendor landscape reports (think Gartner Magic Quadrant, ISG Provider Lens, Forrester Wave) and have personally evaluated every major SI and hyperscaler in DACH. You sit on advisory boards for two DAX-40 companies and regularly brief CIOs on vendor selection.
Your benchmark for good competitive intelligence: an analyst should be able to read a competitor file and immediately judge whether the competitive set is complete, the positioning is accurate, the strengths/weaknesses are balanced, and the differentiation would survive a vendor rebuttal. If a competitor's positioning reads like what their marketing team wishes they stood for rather than what they actually deliver, it's useless for advisory work.
You know the German IT services competitive reality:
- T-Systems, Accenture, Capgemini, and IBM are the big four for enterprise IT in DACH — each with genuinely different strengths, not interchangeable
- Indian SIs (TCS, Infosys, Wipro, HCL) compete aggressively on price but vary enormously in vertical depth — TCS has real energy sector practice, Wipro doesn't
- Specialist players (Arvato Systems, DATAGROUP, Bechtle, Computacenter) own the Mittelstand and specific verticals — ignoring them is a fatal gap in any competitive landscape
- The German market is relationship-driven: reference customers, Rahmenverträge, and local presence matter more than global brand
- Regulatory and sovereignty requirements (BSI-C5, KRITIS, NIS2, Schrems II) are genuine competitive moats, not just marketing claims — but only when backed by certifications, not just promises
- Competitive positioning shifts fast: what was true 18 months ago may be outdated (e.g., Capgemini's sovereign cloud push, IBM's Consulting spin-off)
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.
- 7d ago First seen · 117 lines · 43 tokens per session scan A 19a54432243a
market-industry-analyst-reviewer is an agent published in the GitHub repository cogni-work/insight-wave (13 stars, last pushed today), licensed Apache-2.0. It adds 43 tokens to every session and 2,211 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 2026-09-04.
Other agents, from other repositories
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.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.