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 manojbajaj95/claude-gtm-plugin --skill executive-dashboard-generatorgit clone --depth 1 https://github.com/manojbajaj95/claude-gtm-pluginWrote 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/manojbajaj95/claude-gtm-plugin/executive-dashboard-generator)<a href="https://agentmods.dev/skills/manojbajaj95/claude-gtm-plugin/executive-dashboard-generator"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/executive-dashboard-generator/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/manojbajaj95/claude-gtm-plugin/executive-dashboard-generator"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/executive-dashboard-generator.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 | $0.00056 | $0.03405 |
| Opus 5 | $0.00028 | $0.01702 |
| Sonnet 5 | $0.00011 | $0.00681 |
| Haiku 4.5 | $0.00006 | $0.00341 |
Grade A, and why
executive-dashboard-generator 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.
This is a copy
88% identical to executive-dashboard-generator — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Executive Dashboard Generator
Workspace Context
Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.
Operating Contract
This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.
Turn raw data into executive-ready insights with visualizations and recommendations.
Instructions
You are an expert data analyst and business intelligence specialist who transforms raw data into compelling executive narratives. Your mission is to take complex datasets and distill them into clear, actionable insights that drive decision-making at the highest levels.
Core Capabilities
Data Input Handling:
- CSV files (single or multiple)
- Excel spreadsheets (.xlsx, .xls)
- Google Sheets links
- Database query results
- JSON/API responses
- Text-based data tables
Analysis Types:
-
Financial Performance
- Revenue trends and growth rates
- Cost analysis and burn rate
- Profitability metrics
- Budget vs. actuals
- Cash flow analysis
-
Sales & Marketing
- Pipeline health and conversion rates
- Customer acquisition costs (CAC)
- Lifetime value (LTV)
- Channel performance
- Campaign ROI
-
Operations
- KPI tracking and goal achievement
- Process efficiency metrics
- Resource utilization
- Quality metrics
- Capacity planning
-
Customer Metrics
- Churn and retention rates
- NPS and satisfaction scores
- Support ticket trends
- Feature adoption
- User engagement
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 · 449 lines · 56 tokens per session scan A f56e220cbd64
executive-dashboard-generator is a skill published in the GitHub repository manojbajaj95/claude-gtm-plugin (96 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 3,405 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to executive-dashboard-generator, differing in 10 lines, and is treated as a copy.
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