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 cogni-work/insight-wave --skill marketing-dashboardgit clone --depth 1 https://github.com/cogni-work/insight-waveWrote 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/cogni-work/insight-wave/marketing-dashboard)<a href="https://agentmods.dev/skills/cogni-work/insight-wave/marketing-dashboard"><img src="https://agentmods.dev/badge/skills/cogni-work/insight-wave/marketing-dashboard/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/cogni-work/insight-wave/marketing-dashboard"><img src="https://agentmods.dev/badge/skills/cogni-work/insight-wave/marketing-dashboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00083 | $0.00781 |
| Opus 5 | $0.00042 | $0.00391 |
| Sonnet 5 | $0.00017 | $0.00156 |
| Haiku 4.5 | $0.00008 | $0.00078 |
Grade A, and why
marketing-dashboard 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 6d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Dashboard
Purpose
Generate an interactive HTML dashboard that visualizes the marketing project's content coverage, campaign progress, and strategic alignment. The dashboard helps identify gaps, track production, and communicate status to stakeholders.
Prerequisites
- Marketing project initialized with content strategy
Workflow
Step 1: Load All Data
- Read
marketing-project.json— markets, GTM paths, brand - Read
content-strategy.json— full content matrix with planned/generated counts - Read
campaigns/*.json— campaign timelines and touchpoint status - Read
calendar/content-calendar.yaml— publication schedule and status - Scan
content/directories — count actual files, read frontmatter for status
Step 2: Generate 5 Dashboard Views
Build a single-page HTML file with tabbed views using inline CSS and vanilla JavaScript (no external dependencies).
View 1: Coverage Heatmap
Market × GTM Path matrix with cells colored by content completion:
- Green (>75%): Most planned content generated
- Yellow (25-75%): In progress
- Red (<25%): Just started or empty
- Gray: Not planned
Each cell shows: {generated}/{planned} count. Click to expand and see format breakdown.
View 2: Funnel Distribution
Stacked bar chart per market showing content pieces by funnel stage:
- Awareness (thought-leadership + demand-gen): blue
- Consideration (lead-gen): orange
- Decision (sales-enablement): green
- Full-funnel (ABM): purple
Highlights funnel imbalances: "Market X has 15 awareness pieces but only 2 decision pieces."
View 3: Channel Mix
Donut chart showing content distribution across channels:
- LinkedIn, Blog/Website, Email, Events/Webinar, Gated Assets, Internal (sales)
Per-market breakdown available via filter.
View 4: Content Production Tracker
Table/list view of all content pieces with columns:
- Title, Type, Format, Market, GTM Path, Status (planned/drafted/reviewed/published), Date
Sortable and filterable. Status badges with colors.
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.
- 6d ago First seen · 90 lines · 83 tokens per session scan A 8abce8c14d79
marketing-dashboard is a skill published in the GitHub repository cogni-work/insight-wave (13 stars, last pushed today), licensed Apache-2.0. It adds 83 tokens to every session and 781 once invoked, about $0.0004 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 2026-09-04.
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