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 BlackBeltTechnology/pi-agent-dashboard --skill bootstrapgit clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboardWrote 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/blackbelttechnology/pi-agent-dashboard/bootstrap)<a href="https://agentmods.dev/skills/blackbelttechnology/pi-agent-dashboard/bootstrap"><img src="https://agentmods.dev/badge/skills/blackbelttechnology/pi-agent-dashboard/bootstrap/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/blackbelttechnology/pi-agent-dashboard/bootstrap"><img src="https://agentmods.dev/badge/skills/blackbelttechnology/pi-agent-dashboard/bootstrap.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 | $0.00054 | $0.00326 |
| Opus 5.5 | $0.00022 | $0.00130 |
| Sonnet 5.5 | $0.00011 | $0.00065 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
pi-dashboard-bootstrap scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Ensure the pi-dashboard server is running
Run exactly this, as ONE foreground Bash call (never run_in_background, never & — the script
starts the server detached itself and returns):
sh "${CLAUDE_SKILL_DIR}/scripts/ensure-dashboard.sh"
- Exit 0: the output contains
BASE=<url>. Use that exact URL for every later dashboard call (shell variables do not survive between Bash calls — write the literal URL each time). - Exit 2 (
SANDBOX): tell the user this session runs in a sandbox, not on their computer, so it cannot start or reach pi-dashboard; they should use Claude Code on their machine. Do not try workarounds. - Exit 1: show the error lines. A cold
npxinstall needs Node >= 22.19 and a C++ toolchain (node-pty).
Then continue with the pi-dashboard skill. If a control call returns 401 / local_proof_required, ask
the user to run pi-dashboard token create --label claude-code --tier control and give you the token;
send it as -H "Authorization: Bearer <token>". Never write the token to a file or echo it back.
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.
- 3d ago First seen · 24 lines · 54 tokens per session scan A 131e7232b03f
pi-dashboard-bootstrap is a skill published in the GitHub repository BlackBeltTechnology/pi-agent-dashboard (319 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 326 once invoked, about $0.0002 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 2026-10-13.
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