Borrowing it
Nothing to install: this file belongs to tobert/gpal. 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/tobert/gpal/main/AGENTS.mdgit clone --depth 1 https://github.com/tobert/gpalWrote 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/tobert/gpal/agents-md)<a href="https://agentmods.dev/instructions/tobert/gpal/agents-md"><img src="https://agentmods.dev/badge/instructions/tobert/gpal/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/tobert/gpal/agents-md"><img src="https://agentmods.dev/badge/instructions/tobert/gpal/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 | $0.04005 | $0.04005 |
| Opus 5.5 | $0.01602 | $0.01602 |
| Sonnet 5.5 | $0.00801 | $0.00801 |
| Haiku 4.5 | $0.00400 | $0.00400 |
Grade A, and why
gpal AGENTS.md 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.
How it starts
The opening of the file, as written. The whole thing — 348 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Development Guide
Internal documentation for gpal development.
Dogfooding
Before committing changes to gpal, use gpal to review them:
consult_gemini(
query="Review server.py for bugs, edge cases, and API misuse",
model="pro",
file_paths=["src/gpal/server.py"]
)
Gemini catches real issues — see git history for proof.
Architecture
┌─────────────────────────────────────────────────────┐
│ MCP Client │
│ (Claude Desktop, Cursor, VS Code, etc.) │
└─────────────────────┬───────────────────────────────┘
│ MCP Protocol
▼
┌─────────────────────────────────────────────────────┐
│ gpal Server │
│ │
│ ┌─────────────────┐ ┌────────────────────────┐ │
│ │ consult_gemini │ │ consult_gemini_oneshot │ ← Tools │
│ └────────┬────────┘ └───────────┬────────────┘ │
│ │ │ │
│ └──────────┬─────────┘ │
│ ▼ │
│ ┌──────────────────────────────────────┐ │
│ │ Session Manager │ │
│ │ (history preservation, model switch) │ │
│ └──────────────────┬───────────────────┘ │
│ │ │
└──────────────────────┼──────────────────────────────┘
▼
┌─────────────────────────────────────────────────────┐
│ Google Gemini API │
│ │
│ Gemini has internal tools: │
│ • list_directory • read_file • search_project │
│ • git • gemini_search │
│ • file_search (when stores exist) │
│ │
│ Automatic Function Calling enabled │
│ (Gemini autonomously explores the codebase) │
└─────────────────────────────────────────────────────┘
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 · 348 lines · 4,005 tokens per session scan A d4ef792ca974
gpal AGENTS.md is an instructions file published in the GitHub repository tobert/gpal (10 stars, last pushed 4mo ago), licensed MIT. It adds 4,005 tokens to every session, about $0.0160 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 2026-08-31.
gpal AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gpal AGENTS.mdtobert/gpal | Instructions file | 10 | 4mo ago | MIT | A | 4,005 | 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 | yesterday | 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 |