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 brainbytes-dev/everything-claude-marketing --skill marketing-reportinggit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/marketing-reporting)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/marketing-reporting"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/marketing-reporting/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/brainbytes-dev/everything-claude-marketing/marketing-reporting"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/marketing-reporting.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 | $0.00026 | $0.02887 |
| Opus 5.5 | $0.00010 | $0.01155 |
| Sonnet 5.5 | $0.00005 | $0.00577 |
| Haiku 4.5 | $0.00003 | $0.00289 |
Grade A, and why
marketing-reporting 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 2mo 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Reporting
When to Activate
- Preparing weekly marketing standup updates
- Creating monthly marketing performance reports
- Building quarterly business review (QBR) presentations
- Defining marketing metrics and KPIs for the team
- Setting up a reporting cadence for a new team or company
- Stakeholders ask "how is marketing doing?" and you need a structured answer
- Forecasting marketing performance for planning
First Questions
- What is the reporting cadence? (Weekly, monthly, quarterly)
- Who is the audience? (Team, leadership, board, cross-functional)
- What are the top 3 business goals marketing supports?
- What data sources do you have access to? (Analytics, CRM, ad platforms, billing)
- What metrics does your audience care about most?
- Is there an existing report to improve, or are you building from scratch?
- What decisions should these reports enable?
Reporting Cadence Framework
Weekly Standup Report
- Audience: Marketing team + direct manager
- Length: 1 page or 5-minute verbal update
- Focus: What happened this week, what's planned next week, any blockers
- Metrics: Activity metrics (campaigns launched, content published, emails sent) + leading indicators (traffic, sign-ups, pipeline)
- Tone: Operational. Fast. Action-oriented.
Monthly Marketing Report
- Audience: Marketing leadership, cross-functional leaders (sales, product)
- Length: 5-10 slides or 2-3 page document
- Focus: Performance vs. goals, channel effectiveness, key learnings
- Metrics: Outcome metrics (revenue, pipeline, customers) + efficiency metrics (CAC, ROAS, CPA) + trend analysis
- Tone: Analytical. Insight-driven. Forward-looking.
Quarterly Business Review (QBR)
- Audience: Executive team, board
- Length: 10-20 slides
- Focus: Strategic progress, ROI justification, budget implications, next quarter plan
- Metrics: Business impact metrics (revenue contribution, market share, LTV:CAC) + strategic progress (brand awareness, competitive position)
- Tone: Strategic. Narrative-driven. Tied to company goals.
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.
- 2mo ago First seen · 288 lines · 26 tokens per session scan A a9dc55fe988c
marketing-reporting is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 2,887 once invoked, about $0.0001 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 2026-08-31.
marketing-reporting compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| marketing-reportingbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 26 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |