What is doomscroll-mcp CLAUDE.md?

Development instructions for an unfinished MCP server that would let AI agents browse Instagram Reels. MCP is a standard way for an agent to use external tools.

Guiding development of login, session-status, logout, and Reel-browsing functions using Python, browser automation, and randomized browsing behavior.

They document the planned design and current status, making clear that the repository has no implementation yet.

How Sho0pi/doomscroll-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to Sho0pi/doomscroll-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.

Copy the file

curl -O https://raw.githubusercontent.com/Sho0pi/doomscroll-mcp/master/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/Sho0pi/doomscroll-mcp

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/sho0pi/doomscroll-mcp/claude-md/github.svg)](https://agentmods.dev/instructions/sho0pi/doomscroll-mcp/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/sho0pi/doomscroll-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/sho0pi/doomscroll-mcp/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/sho0pi/doomscroll-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/sho0pi/doomscroll-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,423 This file is loaded in full into every session.

When invoked 1,423 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.01423	$0.01423
Opus 5.5	$0.00569	$0.00569
Sonnet 5.5	$0.00285	$0.00285
Haiku 4.5	$0.00142	$0.00142

Measured 2mo ago against content hash e5199e2a72d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

doomscroll-mcp 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.

CLAUDE.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 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.

Status

Pre-implementation. Repo currently holds only README.md (design spec) and LICENSE. No source code, tests, or build config exist yet. The README is the authoritative design — implement against it.

What This Is

An MCP server exposing Instagram Reels browsing to AI agents. The MCP collects and returns structured reel data only; it performs no analysis, ranking, or recommendation. Those are the agent's job.

Pipeline: AI Agent → DoomScroll MCP → Playwright → Instagram Web

Stack

Python, managed with uv (dependency install + execution)
MCP (server framework)
Playwright (browser automation against Instagram web)

Intended Tool Surface (from README)

login(), login_status(), logout() — auth lifecycle
scroll_reels(limit=50, search=None, hashtag=None) — drives default feed, keyword search, or hashtag page; returns list of reel dicts (url, creator, caption, likes, comments, date_posted, audio, etc.)

Humanization

To reduce bot-detection risk, browsing behavior must be randomized via a HumanizeConfig.

Passive (core, always on, no account side effects):

randomized delay between scrolls (range, not fixed)
variable scroll distance/speed, occasional scroll-up
random "watch" pause per reel before advancing
jittered mouse movement, viewport randomization
per-session reel cap + cooldown before next session

Active (opt-in, OFF by default — mutates the user's account):

liking reels. This is real engagement: visible to creators, pollutes the user's algorithm, and is a primary IG spam-detection trigger. Gate behind an explicit flag, keep probability low, rate-limit hard, and never perform silently.

class HumanizeConfig:
    scroll_delay_range: tuple = (2.0, 6.0)     # seconds
    watch_duration_range: tuple = (1.0, 5.0)
    scroll_jitter: bool = True
    session_max_reels: int = 200
    cooldown_after_session: float = 0
    # active — opt-in, risky
    enable_likes: bool = False
    like_probability: float = 0.0              # 0..1

Read the full file on GitHub · 115 lines

Changes

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 · 115 lines · 1,423 tokens per session scan A e5199e2a72d6

Subscribe to this mod's changes

doomscroll-mcp CLAUDE.md is an instructions file published in the GitHub repository Sho0pi/doomscroll-mcp (2 stars, last pushed 4mo ago), licensed MIT. It adds 1,423 tokens to every session, about $0.0057 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 2026-08-31.

Browser automation

doomscroll-mcp CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
doomscroll-mcp CLAUDE.mdSho0pi/doomscroll-mcp	Instructions file	2	4mo ago	MIT	A	1,423	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

doomscroll-mcp: Instructions file for Claude Code