all

all is a cursor rule for Cursor from anand-kamble/mcp-instagram. It costs 16 tokens per session, scanned A, original, MIT.

A rule that requires the agent to use sequential thinking, meaning it works through a problem in ordered steps.

In plain words
What is it for?
Use it when agent work must follow an explicitly sequential approach.
Why use it?
It enforces a step-by-step reasoning process for tasks where the order of decisions matters.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it when agent work must follow an explicitly sequential approach.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/anand-kamble/mcp-instagram/all
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/anand-kamble/mcp-instagram

Made for: Cursor.

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.

agentmods badge for all

README.md
[![agentmods](https://agentmods.dev/badge/rules/anand-kamble/mcp-instagram/all.svg)](https://agentmods.dev/rules/anand-kamble/mcp-instagram/all)
Your own site
<a href="https://agentmods.dev/rules/anand-kamble/mcp-instagram/all"><img src="https://agentmods.dev/badge/rules/anand-kamble/mcp-instagram/all.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 This file is loaded in full into every session.
When invoked 16 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00016 $0.00016
Opus 5 $0.00008 $0.00008
Sonnet 5 $0.00003 $0.00003
Haiku 4.5 $0.00002 $0.00002

Measured 7d ago against content hash d165b4623ed3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

all 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 7d 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.

.cursor/rules/all.mdc · 6 lines

What it actually says

It is mandatory to use sequential thinking.

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.

  1. 7d ago First seen · 6 lines · 16 tokens per session scan A d165b4623ed3

Subscribe to this mod's changes

all is a cursor rule published in the GitHub repository anand-kamble/mcp-instagram (8 stars, last pushed 9mo ago), licensed MIT. It adds 16 tokens to every session, about $0.0001 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.