Borrowing it
Nothing to install: this file belongs to BlackBeltTechnology/pi-agent-dashboard. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/BlackBeltTechnology/pi-agent-dashboard/develop/AGENTS.mdgit 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/instructions/blackbelttechnology/pi-agent-dashboard/agents-md)<a href="https://agentmods.dev/instructions/blackbelttechnology/pi-agent-dashboard/agents-md"><img src="https://agentmods.dev/badge/instructions/blackbelttechnology/pi-agent-dashboard/agents-md/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/instructions/blackbelttechnology/pi-agent-dashboard/agents-md"><img src="https://agentmods.dev/badge/instructions/blackbelttechnology/pi-agent-dashboard/agents-md.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 | $0.02273 | $0.02273 |
| Opus 5.5 | $0.00909 | $0.00909 |
| Sonnet 5.5 | $0.00455 | $0.00455 |
| Haiku 4.5 | $0.00227 | $0.00227 |
Grade A, and why
pi-agent-dashboard AGENTS.md scanned grade A with 1 finding 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 14d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://localhost:8000/api/health | jq .mode # dev | production How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PI Dashboard
Web dashboard to monitor + control pi agent sessions remotely. Three components: bridge extension + Node server + React client. Full architecture: docs/architecture.md.
Retrieval pointers (repo-specific)
The kb-first READ doctrine is injected per turn by the kb extension. Two repo-specific pointers the canonical doctrine leaves out:
- build / run / install / setup / release / "how do I X" →
grep -i <kw> docs/faq.md README.md docs/— then quote. - reproduce the kb retrieval-quality numbers →
tsx packages/kb/eval/run-fixtures.ts.
Code Instructions (per-turn doctrine)
Behavioral guidelines to reduce common LLM mistakes. Bias toward caution over speed. Trivial tasks → judgment.
- Think before coding. State assumptions; if uncertain, ask via
ask_user. Present multiple interpretations, don't pick silently. Push back when a simpler approach exists. Never speculate about code you haven't opened. Confirm the plan before any major change. - Simplicity first. Minimum code that solves the problem. No speculative features/abstractions/flexibility/error-handling for impossible cases. DRY: extract a shared helper when a pattern repeats (not for a single call site). "Would a senior engineer call this overcomplicated?" If yes, simplify.
- Surgical changes. Touch only what you must. Don't improve/refactor/reformat adjacent code. Match existing style. Mention unrelated dead code, don't delete it. Remove only orphans YOUR change created. Every changed line traces to the request.
- Goal-driven (TDD). Turn tasks into verifiable goals. Write/update tests first, verify they fail, then minimal implementation to pass. State a brief plan for multi-step tasks (step → verify).
- Communication. High-level summary of what changed each step. Use
ask_user(not plain text) for clarification/choices.
Docs delegation (project-specific)
The generic WRITE discipline (doc routing, the | File | Purpose | row schema,
the size-split rule, root-lean) is injected per turn. Repo-specific additions:
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.
- 14d ago Changed · +13 tokens per session cf0c1ad88b2b
- 1mo ago Changed · -4 lines · -100 tokens per session a43c4330ed2c
- 1mo ago Changed · -32 lines · -1,319 tokens per session 605a49df9e48
- 2mo ago Changed · +1 lines · +39 tokens per session e46f3425a1e1
- 2mo ago Changed · +23 tokens per session 72daa9044e2b
- 2mo ago First seen · 145 lines · 3,617 tokens per session scan A a9b26055cc26
pi-agent-dashboard AGENTS.md is an instructions file published in the GitHub repository BlackBeltTechnology/pi-agent-dashboard (341 stars, last pushed 2d ago), licensed MIT. It adds 2,273 tokens to every session, about $0.0091 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
pi-agent-dashboard AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pi-agent-dashboard AGENTS.mdBlackBeltTechnology/pi-agent-dashboard | Instructions file | 341 | 2d ago | MIT | A | 2,273 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |