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 skills add guia-matthieu/clawfu-skills --skill qbr-preparationgit clone --depth 1 https://github.com/guia-matthieu/clawfu-skillsWrote 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/guia-matthieu/clawfu-skills/qbr-preparation)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/qbr-preparation"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/qbr-preparation/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/skills/guia-matthieu/clawfu-skills/qbr-preparation"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/qbr-preparation.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 | $0.00022 | $0.03021 |
| Opus 5 | $0.00011 | $0.01510 |
| Sonnet 5 | $0.00004 | $0.00604 |
| Haiku 4.5 | $0.00002 | $0.00302 |
Grade A, and why
qbr-preparation 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.
How it starts
The opening of the file, as written. The whole thing — 422 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QBR Preparation
Generate comprehensive Quarterly Business Review materials including account history, success metrics, challenges, and strategic recommendations.
When to Use This Skill
- Preparing quarterly customer reviews
- Executive business reviews (EBRs)
- Annual planning sessions with customers
- Renewal discussions
- Strategic account planning
Methodology Foundation
Based on Gainsight QBR Best Practices and Strategic Account Management, structuring reviews around:
- Value delivered (backward-looking)
- Current health and engagement
- Future opportunities and risks
- Strategic recommendations
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Compiles account history | Strategic positioning |
| Calculates success metrics | Recommendations to present |
| Identifies risks and opportunities | Pricing and terms |
| Drafts talking points | Relationship dynamics |
| Creates presentation structure | Meeting facilitation |
What This Skill Does
- Account summary - Key facts and history
- Value documentation - Metrics and achievements
- Health assessment - Current status and trends
- Risk/opportunity analysis - What to watch and pursue
- Strategic recommendations - Next quarter priorities
How to Use
Prepare QBR materials for:
Account: [Company Name]
Contract: $[ARR], Started: [Date], Renewal: [Date]
Primary Contact: [Name, Title]
CSM: [Your name]
Account History:
- [Major milestones, implementations, expansions]
- [Key wins and challenges]
Usage/Success Metrics:
- [Key metrics with current values and trends]
- [Goals they set vs. achieved]
Recent Activity:
- [Support tickets, calls, meetings last quarter]
- [Any escalations or issues]
Relationship Status:
- Champion: [Name, engagement level]
- Exec Sponsor: [Status]
- Other stakeholders: [List]
Known Opportunities/Risks:
- [Expansion potential, concerns mentioned, competitors]
Instructions
Step 1: Compile Account Overview
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 · 422 lines · 22 tokens per session scan A 4f04a827f48f
qbr-preparation is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 3,021 once invoked, about $0.0001 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.
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