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 Jellyfish-AI/jellyfish-mcp --skill jellyfish-custom-dashboardsgit clone --depth 1 https://github.com/Jellyfish-AI/jellyfish-mcpWrote 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/jellyfish-ai/jellyfish-mcp/jellyfish-custom-dashboards)<a href="https://agentmods.dev/skills/jellyfish-ai/jellyfish-mcp/jellyfish-custom-dashboards"><img src="https://agentmods.dev/badge/skills/jellyfish-ai/jellyfish-mcp/jellyfish-custom-dashboards/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/jellyfish-ai/jellyfish-mcp/jellyfish-custom-dashboards"><img src="https://agentmods.dev/badge/skills/jellyfish-ai/jellyfish-mcp/jellyfish-custom-dashboards.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 | $0.00071 | $0.00343 |
| Opus 5.5 | $0.00028 | $0.00137 |
| Sonnet 5.5 | $0.00014 | $0.00069 |
| Haiku 4.5 | $0.00007 | $0.00034 |
Grade A, and why
jellyfish-custom-dashboards 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.
What it actually says
Jellyfish Custom Dashboards
Generate professional, branded HTML dashboards from Jellyfish engineering analytics. Markdown is the fallback only when the user explicitly asks for it.
How to use this skill
1. Pick the report type
| User says... | Report type | File |
|---|---|---|
| "engineering investment", "investment overview", "initiative dashboard", "deliverable dashboard", "big rocks", "where is FTE going" | Engineering Investment | reports/engineering-investment.md |
If ambiguous, ask one clarifying question rather than guessing.
2. Read the report file
Each report file contains the full workflow: what to ask the user, which MCP tools to call (in order), how to interpret the data, and how to render the output. Follow it step by step.
3. Apply the brand
Read dashboard-template.html for the page shell, component CSS classes, and brand tokens. Don't substitute generic themes.
4. Present
Keep the chat reply short — name what you built and the one or two findings that matter most. The dashboard has the rest.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 38 lines · 71 tokens per session scan A 206a8c6f6d1e
jellyfish-custom-dashboards is a skill published in the GitHub repository Jellyfish-AI/jellyfish-mcp (20 stars, last pushed 2d ago), licensed MIT. It adds 71 tokens to every session and 343 once invoked, about $0.0003 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 2026-08-30.
jellyfish-custom-dashboards compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| jellyfish-custom-dashboardsJellyfish-AI/jellyfish-mcp | Skill | 20 | 2d ago | MIT | A | 71 | Claude Code, Codex |
| 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 |