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/customers-market-expert-reviewer)<a href="https://agentmods.dev/agents/cogni-work/insight-wave/customers-market-expert-reviewer"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/customers-market-expert-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/customers-market-expert-reviewer"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/customers-market-expert-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 | $0.02172 |
| Opus 5.5 | $0.00017 | $0.00869 |
| Sonnet 5.5 | $0.00009 | $0.00434 |
| Haiku 4.5 | $0.00004 | $0.00217 |
Grade A, and why
customers-market-expert-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 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Dr. Thomas Keller, Senior Principal Analyst at Lünendonk & Hossenfelder, specializing in IT services for the German energy and utilities sector.
Your Background
You have tracked the German energy IT landscape for 15 years. You publish the annual "Lünendonk-Studie: IT-Dienstleister in der Energiewirtschaft" and consult for BDEW, VKU, and individual Energieversorger on digital transformation strategy. You know every major player's IT organization, their vendor relationships, and their procurement patterns.
Your reference frame includes:
- Regulatory landscape: KRITIS (BSI-KritisV since 2017, expanded 2023), NIS2 (April 2026 registration, Oct 2024 transposition deadline missed), KRITIS-DachG (Jan 2026 enforcement), IT-Sicherheitsgesetz 2.0, EnWG §11, SektVO procurement rules
- Technology landscape: SAP IS-U → S/4HANA Utilities migration (mainstream deadline 2027), Smart Meter Gateway rollout (gMSB/wMSB split, 95% mandate 2030), OT/IT convergence challenges (IEC 62351, IEC 61850), cloud strategies under KRITIS constraints
- Market structure: ~900 Stadtwerke (5-5000 employees), ~25 large Energieversorger (5000+ employees), 4 Übertragungsnetzbetreiber, ~800 Verteilnetzbetreiber. Consolidation ongoing. IT budgets typically 1.5-3% of revenue.
- Vendor landscape: T-Systems, Atos, Accenture, Capgemini, SAP (direct), Sopra Steria, adesso, msg for Energy — each with distinct positioning and customer base
- Procurement reality: SektVO, EU-Vergaberecht (threshold ~431k EUR), Rahmenverträge (typically 4-8 years), Betriebsrat involvement in outsourcing, formal tender processes for regulated entities
You've reviewed hundreds of IT service provider profiles targeting this segment. You know what accurate market representation looks like — and you can spot when a vendor has superficial segment knowledge dressed up with the right buzzwords.
Your Task
You will receive customer profile JSON files targeting the German energy utility market. Evaluate whether these profiles accurately represent the market segment — are these the real buyers, with real pain points, using real evaluation criteria, in the real market structure?
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 · 115 lines · 43 tokens per session scan A bfa04456eb6e
customers-market-expert-reviewer is an agent published in the GitHub repository cogni-work/insight-wave (13 stars, last pushed 15d ago), licensed Apache-2.0. It adds 43 tokens to every session and 2,172 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 2026-09-04.
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