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 matellez/claude-skills --skill marketing-qbrgit clone --depth 1 https://github.com/matellez/claude-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/matellez/claude-skills/marketing-qbr)<a href="https://agentmods.dev/skills/matellez/claude-skills/marketing-qbr"><img src="https://agentmods.dev/badge/skills/matellez/claude-skills/marketing-qbr/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/matellez/claude-skills/marketing-qbr"><img src="https://agentmods.dev/badge/skills/matellez/claude-skills/marketing-qbr.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 | $0.00235 | $0.02927 |
| Opus 5 | $0.00118 | $0.01463 |
| Sonnet 5 | $0.00047 | $0.00585 |
| Haiku 4.5 | $0.00023 | $0.00293 |
Grade A, and why
marketing-qbr 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- marketing-qbr — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing QBR: The Quarterly Accountability Conversation That Builds or Erodes Credibility
This skill prepares a demand gen or RevOps Director to present quarterly marketing performance to executive leadership in a way that builds credibility, connects activity to business outcomes, and controls the narrative around results, including the quarters when results were below expectations.
The marketing QBR is not a reporting exercise. It is a credibility exercise. The CEO and CRO are not learning what happened from your QBR. They already know the pipeline number and the revenue number. What they are evaluating is whether you understand what drove those numbers, whether you can identify what is and is not working, and whether you have a clear-eyed plan for the next quarter. A Director who presents data confidently is worth less than a Director who demonstrates judgment about what the data means.
HOW TO SET UP THIS SKILL
Provide:
- Last quarter's key metrics: pipeline generated, pipeline contribution to revenue, CPL by channel, MQL to SQL conversion rate, any other metrics your leadership team follows
- Targets for the same metrics: what you committed to and what you delivered
- The programs that drove the most significant results, positive or negative
- Whether the quarter hit, missed, or exceeded expectations
- What leadership is currently most focused on: pipeline, revenue attribution, spend efficiency, or specific channels
- Any contested or sensitive items: attribution disputes, programs that underperformed, budget that was spent without clear return
The Structural Mistake Most Marketing QBRs Make
The default QBR structure is: here is what we did, here is what we measured, here is what it produced. This structure puts leadership in the position of drawing their own conclusions from your data. They will draw conclusions that reflect their priors, not your analysis. If the CRO already suspects that paid LinkedIn is a waste of budget, presenting LinkedIn metrics without context gives them evidence for the conclusion they already hold.
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.
- 11d ago First seen · 334 lines · 235 tokens per session scan A de22138c2716
marketing-qbr is a skill published in the GitHub repository matellez/claude-skills (4 stars, last pushed 5mo ago), licensed MIT. It adds 235 tokens to every session and 2,927 once invoked, about $0.0012 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 2026-08-31.
Other skills, from other repositories
skill-builder
Automatically detect source types and build AI skills using Skill Seekers. Use when the user wants to create skills from documentation, repos, PDFs, videos, or other knowledge sources.
market-research-workflow
Trigger for: federal acquisition market research; FAR Part 10 reports; refreshing an existing market research report; analyzing commerciality, competition, small-business availability, contract type, consolidation, prior awards, vendors, or market conditions; or preparing supported findings for a Pre-Award Agent. A…
acquisition-policy-workflow
Trigger for: explaining current FAR, DFARS, or agency-supplement text; determining documented acquisition-policy status for an agency and FAR part; comparing codified text, RFO model text, and agency deviations; tracing acquisition rulemaking; finding procurement comment periods; analyzing public comments; refreshing…
igce-builder-lh-tm
Trigger for: Labor-Hour IGCE, LH estimate, Time-and-Materials IGCE, T&M estimate, burdened hourly rate, burden multiplier, labor-category ceiling hours, materials estimate, proposed LH/T&M rate validation, price-reasonableness memo, or fair-and-reasonable analysis. Build auditable LH/T&M estimates using BLS OEWS…
rudder-data-graphs
Produces Data Graph YAML from RETL sources for Audiences. Use when designing Data Graphs, mapping RETL to entities/events, or assessing customer fit for Audiences.
rudder-typer-workflow
Generates type-safe SDKs (Swift/Kotlin) from tracking plans with compile-time validation. Use when generating type-safe event tracking code from tracking plans using RudderTyper.