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 agentmods add commands/blackbelttechnology/pi-agent-dashboard/dashboard-session-thinkinggit 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/commands/blackbelttechnology/pi-agent-dashboard/dashboard-session-thinking)<a href="https://agentmods.dev/commands/blackbelttechnology/pi-agent-dashboard/dashboard-session-thinking"><img src="https://agentmods.dev/badge/commands/blackbelttechnology/pi-agent-dashboard/dashboard-session-thinking.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.00121 |
| Opus 5 | $0.00010 | $0.00060 |
| Sonnet 5 | $0.00004 | $0.00024 |
| Haiku 4.5 | $0.00002 | $0.00012 |
Grade A, and why
dashboard-session-thinking 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 2d 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
Use the pi-dashboard skill (see ../SKILL.md). Set a session's thinking level over the WebSocket bus:
npx tsx ./scripts/dashboard-bus.ts thinking <id-prefix> <level>
Levels are off, low, medium, high. The CLI resolves the id-prefix to a full session id and sends the typed set_thinking_level verb. Report the result, or the error if no session matches the prefix.
Arguments (id-prefix then level):
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.
- 2d ago First seen · 11 lines · 20 tokens per session scan A b8536b654b56
dashboard-session-thinking is a command published in the GitHub repository BlackBeltTechnology/pi-agent-dashboard (273 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 121 once invoked, about $0.0001 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 2026-09-03.
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