Borrowing it
Nothing to install: this file belongs to zhiyuan7/freshrss-mcp. 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/zhiyuan7/freshrss-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/zhiyuan7/freshrss-mcpWrote 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/zhiyuan7/freshrss-mcp/agents-md)<a href="https://agentmods.dev/instructions/zhiyuan7/freshrss-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/zhiyuan7/freshrss-mcp/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/zhiyuan7/freshrss-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/zhiyuan7/freshrss-mcp/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 | $0.01228 | $0.01228 |
| Opus 5 | $0.00614 | $0.00614 |
| Sonnet 5 | $0.00246 | $0.00246 |
| Haiku 4.5 | $0.00123 | $0.00123 |
Grade A, and why
freshrss-mcp 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 8d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
This project uses bd (beads) for issue tracking. Run bd onboard to get started.
What This Project Is
FreshRSS MCP server using Streamable HTTP transport. It wraps the FreshRSS Google Reader API and exposes 12 MCP tools for feed management, full-article extraction, and YouTube transcripts.
Transport: Streamable HTTP (POST to /mcp) -- NOT stdio. The OpenClaw MCP bridge discovers tools via HTTP POST with JSON-RPC 2.0, not by spawning a subprocess.
Runtime: Python 3.12+, managed by uv. Deployed on NixOS as a systemd service.
Project Layout
freshrss-mcp/
pyproject.toml # uv/PEP 621 — entry point: freshrss-mcp
uv.lock # Committed lockfile
.python-version # 3.13
flake.nix # Dev shell + NixOS module (systemd service)
src/freshrss_mcp/
server.py # FastMCP entry point (streamable-http transport)
tools.py # 10 MCP tool definitions with error boundaries
client.py # FreshRSS Google Reader API client (async, httpx)
config.py # pydantic-settings config from env vars
models.py # Article and Feed dataclasses
article_fetcher.py # Public-only article fetch and readable-text extraction
youtube_transcript.py # Supadata transcript client and persistent cache
tests/ # 90 unit tests
test_config.py # Config validation, defaults, secret masking
test_client.py # Auth, feeds, articles, ID extraction, edge cases
test_tools.py # Every tool happy path + error boundary
test_models.py # Serialization, construction, mutability
Key Architecture Decisions
-
Lazy authentication:
client.pycalls_ensure_authenticated()before every API method. No need to pre-auth at startup. -
Error boundaries: Every tool in
tools.pycatches all exceptions and returns"Error: ..."strings. MCP protocol never sees uncaught exceptions.
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.
- 8d ago First seen · 143 lines · 1,228 tokens per session scan A 0663468eadea
freshrss-mcp AGENTS.md is an instructions file published in the GitHub repository zhiyuan7/freshrss-mcp (0 stars, last pushed 11d ago), licensed MIT. It adds 1,228 tokens to every session, about $0.0061 per session on Opus 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.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
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.