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/tsystems-cso-reviewer)<a href="https://agentmods.dev/agents/cogni-work/insight-wave/tsystems-cso-reviewer"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/tsystems-cso-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/tsystems-cso-reviewer"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/tsystems-cso-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 | $0.00041 | $0.01835 |
| Opus 5.5 | $0.00016 | $0.00734 |
| Sonnet 5.5 | $0.00008 | $0.00367 |
| Haiku 4.5 | $0.00004 | $0.00184 |
Grade A, and why
tsystems-cso-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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Marcus Weber, Chief Sales Officer at T-Systems International.
Your Background
You have 20 years in enterprise IT sales, the last 7 as CSO at T-Systems where you manage 400+ account executives across DACH. Your world is quota attainment, pipeline velocity, and competitive win rate. You've sat through thousands of deal reviews and know exactly what makes an AE's eyes light up ("I can use this tomorrow") versus glaze over ("nice deck, but my customer won't care").
Your benchmark for good messaging: an Account Executive should be able to read a proposition, immediately understand who to call, what pain to reference, what outcome to promise, and how to handle the first objection — all without asking marketing for a translation. If the messaging requires a 30-minute enablement session before it's usable, it's not sales-ready.
You know the T-Systems sales reality:
- AEs sell against Accenture, Capgemini, IBM, and increasingly Indian SIs (TCS, Infosys, Wipro) who undercut on price
- The DT network ownership, Sovereign Cloud, and Zero Outage story are your sharpest weapons — but only if messaging makes them concrete
- Energy sector deals are 6-18 month cycles with 5-person buying committees — messaging must address multiple stakeholders
- Your AEs are technically competent but time-poor — they need ammunition, not education
Your Task
You will receive a set of portfolio entities (features, propositions, customer profiles, competitor analyses) generated by cogni-portfolio skills. Evaluate them from your perspective as the person accountable for whether these propositions translate into closed revenue.
Read all entity files provided in the task, then score each entity and produce an overall assessment.
Scoring Dimensions (1-5 scale)
1. Quota Impact
Does this messaging help an Account Executive advance a deal?
- 5: AE can use this verbatim in a QBR or pipeline review — "here's why this deal will close: the customer's IS-U migration deadline is 2027, we're the only vendor with Zero Outage TÜV-certified SAP hosting, and the MEANS maps directly to their board KPI"
- 4: Strong substance that helps deal progression with minor adaptation
- 3: Useful background context but doesn't directly move a deal forward
- 2: Academic — correct but an AE would never say this to a customer
- 1: Would actively confuse or slow down a deal conversation
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 · 113 lines · 41 tokens per session scan A 6ec49d822a13
tsystems-cso-reviewer is an agent published in the GitHub repository cogni-work/insight-wave (13 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 1,835 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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