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 jolliai/jolli-claude-plugin --skill dashboardgit clone --depth 1 https://github.com/jolliai/jolli-claude-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/jolliai/jolli-claude-plugin/dashboard)<a href="https://agentmods.dev/skills/jolliai/jolli-claude-plugin/dashboard"><img src="https://agentmods.dev/badge/skills/jolliai/jolli-claude-plugin/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/jolliai/jolli-claude-plugin/dashboard"><img src="https://agentmods.dev/badge/skills/jolliai/jolli-claude-plugin/dashboard.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 | $0.00068 | $0.01654 |
| Opus 5.5 | $0.00027 | $0.00662 |
| Sonnet 5.5 | $0.00014 | $0.00331 |
| Haiku 4.5 | $0.00007 | $0.00165 |
Grade A, and why
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 1mo 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
100% identical to dashboard — 0 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jolli Dashboard
Serve the local Jolli dashboard and get the user in front of it.
The dashboard is machine-level: it aggregates every repository Jolli has registered on this machine, so it opens from any directory — including one that is not a git repository, and one where Jolli Memory is switched off (that repo is simply absent from the page). There is no MCP tool for this; the bundled CLI is the only route.
Shell prerequisite
This block requires a POSIX bash shell. On Linux/macOS the system bash works.
On Windows, use Git Bash (the bash bundled with Git for Windows). Other
Windows "bash" options — C:\Windows\System32\bash.exe, the WindowsApps
alias, or any WSL bash — see a separate Linux home directory and will not
find the Jolli entry script that lives under %USERPROFILE%.
If Git Bash is not available on Windows, STOP and tell the user: "Jolli skill needs Git Bash on Windows. Install Git for Windows from https://git-scm.com/download/win and retry."
Do NOT fall back to npm run, npx, node directly, PowerShell-native
commands, WSL bash, or any workspace-local script — those bypass the
security recipe and the dist resolver and will not produce valid output.
Step 1: Read the argument, if there is one
<user-arg> is optional. Recognise exactly two things in it and ignore the rest:
- a port — only when the argument contains a bare run of digits (e.g.
3000). Pass it as--port <digits>. Never interpolate any other part of<user-arg>into the command line. - "url only" / "don't open" / "no browser" — add
--no-open, and report the URL instead of opening it. Prefer this whenever you know the host has no desktop session.
A page name (standup, memories, knowledge, graph) is not an argument here — the dashboard's own nav switches between those pages once it is open, so there is nothing to pass through and nothing extra to report.
Step 2: Start it in the BACKGROUND, then wait for its URL
jolli dashboard binds a loopback port and then serves until it is stopped —
it is not a command that prints something and exits. Run it in the foreground and
your tool call never returns: the harness eventually kills it, and the dashboard
dies with it. So start it detached, and use the Bash tool's background mode as
well when it is available.
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.
- 1mo ago First seen · 127 lines · 68 tokens per session scan A e42273086895
dashboard is a skill published in the GitHub repository jolliai/jolli-claude-plugin (2 stars, last pushed 28d ago), licensed Apache-2.0. It adds 68 tokens to every session and 1,654 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to dashboard, differing in 0 lines, and is treated as a copy.
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