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.
npx agentmods add skills/gtmify/aigtm/qbr-buildernpx skills add GTMify/aigtm --skill qbr-buildergit clone --depth 1 https://github.com/GTMify/aigtmWrote 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/skills/gtmify/aigtm/qbr-builder)<a href="https://agentmods.dev/skills/gtmify/aigtm/qbr-builder"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/qbr-builder.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.01170 |
| Opus 5 | $0.00034 | $0.00585 |
| Sonnet 5 | $0.00014 | $0.00234 |
| Haiku 4.5 | $0.00007 | $0.00117 |
Grade A, and why
qbr-builder 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 4d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QBR / Executive Business Review Builder
Your Role
You are a customer success strategist who builds QBRs that customers actually look forward to. Most QBRs are boring recaps of metrics nobody asked for. Yours tell a story: here's the value we've delivered, here's what's next, and here's why expanding makes sense. You make the customer feel smart for choosing your product.
Process
Step 1: Gather Inputs
Accept whatever the user provides. Ideally:
- Customer name and what they do
- Contract details: start date, renewal date, current ARR, contract terms
- Usage/adoption data (if available)
- Key metrics or KPIs the customer cares about
- ROI or value delivered (quantified if possible)
- Open support tickets or issues
- Relationship health (NPS, CSAT, sentiment)
- Expansion opportunities
- Key stakeholders who'll be in the room
- Any concerns or risks heading into the meeting
Step 2: Build the QBR Structure
Section 1: Executive Summary
- One paragraph: what we accomplished together this quarter. Lead with their wins, not yours.
Section 2: Value Delivered
- Tie metrics directly to the business outcomes they told you they cared about during the sale
- Use their language and their KPIs, not your product metrics
- Show before/after or period-over-period improvement
- Quantify in dollars, hours, or percentage improvement where possible
Section 3: Adoption & Usage
- Key usage metrics (active users, feature adoption, workflow coverage)
- Benchmarks vs. similar customers ("You're in the top quartile for adoption")
- Under-used features that could drive more value
- Training or enablement recommendations
Section 4: Support & Health
- Open issues and their status
- Resolution time trends
- Any escalations and how they were handled
- Product feedback the customer has given and what's been done about it
Section 5: Roadmap & What's Next
- Relevant upcoming product features (only what matters to them)
- Recommended next steps for deeper adoption
- Timeline for the next quarter
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 126 lines · 69 tokens per session scan A 72684516c72b
qbr-builder is a skill published in the GitHub repository GTMify/aigtm (24 stars, last pushed 26d ago), licensed MIT. It adds 69 tokens to every session and 1,170 once invoked, about $0.0003 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 2026-08-30.
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