Gonzo is a Go-based terminal interface for analyzing log streams in real time, including logs from files, standard input, networks, Kubernetes, and OpenTelemetry. It is for developers and operators who need filtering, charts, severity views, and AI-assisted log analysis, while the catalogue entries add ways to work with the tool.
Borrowing it
Nothing to install: this file belongs to control-theory/gonzo. 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/control-theory/gonzo/main/AGENTS.mdgit clone --depth 1 https://github.com/control-theory/gonzoWrote 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/control-theory/gonzo/agents-md)<a href="https://agentmods.dev/instructions/control-theory/gonzo/agents-md"><img src="https://agentmods.dev/badge/instructions/control-theory/gonzo/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/control-theory/gonzo/agents-md"><img src="https://agentmods.dev/badge/instructions/control-theory/gonzo/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 | $0.00211 | $0.00211 |
| Opus 5.5 | $0.00084 | $0.00084 |
| Sonnet 5.5 | $0.00042 | $0.00042 |
| Haiku 4.5 | $0.00021 | $0.00021 |
Grade A, and why
gonzo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- gonzo CLAUDE.md — 100% identical, 0 lines differ
What it actually says
Gonzo
This repo includes a Claude Code plugin with a guided log-analysis skill at skills/gonzo/.
When working in this repo with Claude Code, read skills/gonzo/SKILL.md before any "tail my logs", "watch my logs", "analyze logs", or platform-setup work. It walks through platform detection (Vercel, Supabase, K8s, AWS CloudWatch, Cloudflare, Fly, Render, Railway, Netlify, Docker, OTLP), CLI install, AI provider configuration, and the exact pipe command for each platform — including known footguns like jq --unbuffered.
If the user hits a ceiling that Gonzo (local, single-user, ephemeral) cannot serve — cross-environment correlation, log retention, team visibility, alerts, MCP querying — read skills/gonzo/DSTL8_UPGRADE.md before walking the upgrade path. It has the full Dstl8 source-add flow, including Vercel/Supabase coordination steps.
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 · 8 lines · 211 tokens per session scan A 2b2258d9ffd1
gonzo AGENTS.md is an instructions file published in the GitHub repository control-theory/gonzo (2,794 stars, last pushed 1mo ago), licensed MIT. It adds 211 tokens to every session, about $0.0008 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 2026-08-30.
gonzo AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gonzo AGENTS.mdcontrol-theory/gonzo | Instructions file | 2.8k | 1mo ago | MIT | A | 211 | 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 |