Borrowing it
Nothing to install: this file belongs to Be1zebub/PerfGraph. 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/Be1zebub/PerfGraph/master/AGENTS.mdgit clone --depth 1 https://github.com/Be1zebub/PerfGraphWrote 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/be1zebub/perfgraph/agents-md)<a href="https://agentmods.dev/instructions/be1zebub/perfgraph/agents-md"><img src="https://agentmods.dev/badge/instructions/be1zebub/perfgraph/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/be1zebub/perfgraph/agents-md"><img src="https://agentmods.dev/badge/instructions/be1zebub/perfgraph/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 | $0.01070 | $0.01070 |
| Opus 5.5 | $0.00428 | $0.00428 |
| Sonnet 5.5 | $0.00214 | $0.00214 |
| Haiku 4.5 | $0.00107 | $0.00107 |
Grade A, and why
PerfGraph 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 4d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PerfGraph — AI Agent Instructions
This file tells AI coding agents (Claude, ChatGPT, Copilot, etc.) how to work with PerfGraph.
What PerfGraph is
A CLI tool that collects real browser performance data via CDP, runs it through a 5-stage pipeline, and produces a structured report (TOON for agents, Markdown for humans) with causal chains and prioritized fixes. Designed to be consumed by AI agents.
collect → normalize → extract → analyze → report
How AI agents should use PerfGraph
Quick entry point
npx perfgraph run --url https://example.com --pretty
This runs the full pipeline. The output directory contains:
insights.toon— compact triage, metrics, warnings, and top recommendationsreport.toon— issues, evidence, causal chains, and prioritized remediationreport.md— human-readable reportmanifest.toon— artifact index and read order
summary.score is good / moderate / poor and lives inside insights.toon
and report.toon.
The CLI needs Playwright's Chromium build. If it is missing, install it once
with npx playwright install chromium — the CLI reports the expected binary
path instead of a cryptic launch error.
AI agent workflow
For a URL plus performance, speed, loading, Core Web Vitals, Lighthouse, bottleneck, degradation, or causal-graph request, run:
perfgraph run --url <url> --output ./perfgraph-output --pretty
Read manifest.toon, then insights.toon, then report.toon. Read
graph.toon and raw trace.json, network.json, or lighthouse.json only for
targeted deep dives. .toon files are text, not JSON.
insights.toon holds two metric blocks: metrics from the PerfGraph run and
lighthouse from Lighthouse's own navigation. They are different runs — cite
each value with its source and never merge them.
The response should contain a short status, the 1–3 main causal chains as an
ASCII graph, 3–5 prioritized actions, evidence/confidence, warnings, and a
repeat-measurement plan. Do not treat Possible INP delay as measured INP or
analyze a failed collection as a slow page. See skills/perfgraph/SKILL.md for
the complete interpretation workflow.
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.
- 4d ago Changed · +13 lines · +155 tokens per session ee6d5558d3d2
- 1mo ago First seen · 99 lines · 915 tokens per session scan A 311d6855d470
PerfGraph AGENTS.md is an instructions file published in the GitHub repository Be1zebub/PerfGraph (13 stars, last pushed 4d ago), licensed MIT. It adds 1,070 tokens to every session, about $0.0043 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.