Borrowing it
Nothing to install: this file belongs to memenow/persona-agent. 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/memenow/persona-agent/main/CLAUDE.mdgit clone --depth 1 https://github.com/memenow/persona-agentWrote 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/memenow/persona-agent/claude-md)<a href="https://agentmods.dev/instructions/memenow/persona-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/memenow/persona-agent/claude-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/memenow/persona-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/memenow/persona-agent/claude-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 | $0.02086 | $0.02086 |
| Opus 5.5 | $0.00834 | $0.00834 |
| Sonnet 5.5 | $0.00417 | $0.00417 |
| Haiku 4.5 | $0.00209 | $0.00209 |
Grade A, and why
persona-agent CLAUDE.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.
This is a copy
97% identical to persona-agent AGENTS.md — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project
AI persona agents built on Google A2A protocol with FastAPI REST API and MCP tool integration. Personas are defined as YAML/JSON files loaded from examples/personas/.
Commands
# Install dependencies
uv sync
# Lint and format
uv run ruff check .
uv run ruff format .
# CLI commands
uv run persona-agent api # Start API server
uv run persona-agent list-personas # List available personas
uv run persona-agent agent-card # Show A2A agent cards
uv run persona-agent import-persona FILE # Import persona file
Architecture
Four-layer structure under src/persona_agent/:
- api/ — FastAPI routes, models, dependency injection, API-key auth. REST routes prefixed with
/api/v1, A2A routes at/a2a/. - a2a/ — A2A protocol integration:
PersonaAgentExecutor(implementsAgentExecutor),AgentCardbuilder. Each persona is an A2A agent. - llm/ — LLM client abstraction with
OpenAICompatibleClientusing theopenaiSDK directly. Supports any OpenAI-compatible provider. - mcp/ —
DirectMCPManagerusing themcplibrary directly for stdio server lifecycle, tool loading, and execution.
Key Files
api/server.py— FastAPI app factory and lifespan; wires MCP, persona manager, A2A registry, auth dependency, CORS, and exception handlers.api/agent_factory.py—AgentFactory+AgentSession; createsPersonaAgentExecutorinstances and tracks sessions with wall-clock timestamps.api/persona_manager.py—PersonaPydantic model (id pattern^[a-z0-9_-]{1,64}$) andPersonaManagerfilesystem I/O with path-traversal defense.api/auth.py—make_api_key_dependency;secrets.compare_digestin a full allow-list loop. Returns 401 on miss, 503 if auth is enabled with no allowed keys.api/routes/a2a.py—A2ARegistry; each persona is mounted as an independent ASGI sub-app viaA2AFastAPIApplication.build().a2a/executor.py— Core agent logic: sharedchat()entrypoint, per-contextasyncio.Lock, LRU history (200 contexts),MAX_TOOL_ITERATIONS=10.llm/client.py— AbstractLLMClient+OpenAICompatibleClient;from_config()readsdefault_model+model_configs.mcp/direct_mcp.py— Direct MCP stdio management with per-server retries (MAX_RETRIES=3) and${VAR_NAME}env substitution.
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 · 133 lines · 2,086 tokens per session scan A b9710970ad4d
persona-agent CLAUDE.md is an instructions file published in the GitHub repository memenow/persona-agent (11 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 2,086 tokens to every session, about $0.0083 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to persona-agent AGENTS.md, differing in 6 lines, and is treated as a copy.
persona-agent CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| persona-agent CLAUDE.mdmemenow/persona-agent | Instructions file | 11 | 5mo ago | Apache-2.0 | A | 2,086 | Claude Code |
| 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 |