Borrowing it
Nothing to install: this file belongs to atheurer/agentic-perf. 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/atheurer/agentic-perf/main/AGENTS.mdgit clone --depth 1 https://github.com/atheurer/agentic-perfWrote 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/atheurer/agentic-perf/agents-md)<a href="https://agentmods.dev/instructions/atheurer/agentic-perf/agents-md"><img src="https://agentmods.dev/badge/instructions/atheurer/agentic-perf/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/atheurer/agentic-perf/agents-md"><img src="https://agentmods.dev/badge/instructions/atheurer/agentic-perf/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 | $0.03702 | $0.03702 |
| Opus 5.5 | $0.01481 | $0.01481 |
| Sonnet 5.5 | $0.00740 | $0.00740 |
| Haiku 4.5 | $0.00370 | $0.00370 |
Grade B, and why
agentic-perf AGENTS.md scanned grade B with 2 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 today.
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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
themselves run as root over SSH with no additional confinement. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
sleep 30 && curl http://localhost:8090/... How it starts
The opening of the file, as written. The whole thing — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agentic-perf — AI Agent Guidelines
Project Overview
Multi-agent system for autonomous performance testing. Engineers submit natural-language requests; specialized AI agents triage, acquire hardware, install tooling, execute benchmarks, and deliver structured analysis.
Stack: Python 3.12+, FastAPI, asyncio, MCP, Pydantic, httpx. License: Apache 2.0.
Contributor Agent Skills
Repository-local contributor skills live under .agents/skills/ and are
separate from runtime capabilities under skills/. Use the
PR-cycle skill for the
existing-PR review and landing workflow, and the
orchestration-development skill
for changes to agent context, prompts, handoffs, dispatch, and ticket state.
These skills complement this file and the project documentation; follow this
file for the repository's current development rules.
Key File Paths
| Path | Purpose |
|---|---|
agents/base.py |
AgentBase — LLM loop, tool dispatch, state store client |
agents/{name}/agent.py |
Agent implementation (extends AgentBase) |
agents/{name}/prompts.py |
System prompt for the agent |
agents/{name}/server.py |
FastMCP tool server (runtime MCP subprocess) |
agents/introspection/agent.py |
Continuous passive observer (not AgentBase) |
agents/fleet/agent.py |
Fleet coordinator — deterministic iteration lifecycle (not AgentBase) |
agents/image_builder/agent.py |
Custom image builds via pluggable providers (not AgentBase) |
agents/mcp_client.py |
MCP client for multi-server tool routing |
orchestrator/dispatcher.py |
Status → agent mapping, dispatch logic |
orchestrator/main.py |
Poll loop, provider initialization |
state_store/models.py |
Ticket model, state machine, valid transitions |
state_store/store.py |
In-memory ticket store with transition enforcement |
providers/llm/ |
LLM providers (Claude, OpenAI-compat, mock) |
providers/skills/ |
Benchmark harness skill providers |
providers/resource/ |
Hardware resource providers (QUADS, AWS, PSAP) |
providers/events.py |
EventBus — audit trail (JSONL per ticket) |
providers/ssh.py |
Async SSH executor |
skills/ |
Per-harness docs read by agents at runtime |
tests/conftest.py |
Test fixtures: MockSkillProvider, MockSSHExecutor |
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.
- today Changed · +16 lines · +211 tokens per session d79f9888812a
- 20d ago Changed · +18 lines · +152 tokens per session dae377f5c036
- 1mo ago Changed · +17 lines · +193 tokens per session 1d0684fe9f5c
- 1mo ago Changed · +8 lines · +91 tokens per session 20b6d18b769f
- 1mo ago Changed · +4 lines · +47 tokens per session c2d7e84b2b09
- 2mo ago First seen · 301 lines · 3,008 tokens per session scan B 826714de0b2b
agentic-perf AGENTS.md is an instructions file published in the GitHub repository atheurer/agentic-perf (6 stars, last pushed today), licensed Apache-2.0. It adds 3,702 tokens to every session, about $0.0148 per session on Opus 5.5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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.