deep-research-mcp: Instructions file for Codex

AGENTS.md

deep-research-mcp AGENTS.md is an instructions file for Codex, OpenCode from pminervini/deep-research-mcp. It costs 1,716 tokens per session, scanned A, original, MIT.

A set of instructions for an AI coding agent working in a software repository. It emphasizes thinking through changes, keeping solutions simple, and following existing project rules.

In plain words
What is it for?
Use it to guide repository work such as planning code changes, checking project conventions, and making focused edits that are easy to review.
Why use it?
It helps prevent unnecessary features, broad refactoring, and changes made without clear assumptions. It also encourages stopping when requirements are unclear.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; mentions Codex.

This is pminervini/deep-research-mcp's own configuration. It tells Codex and OpenCode how to work on deep-research-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything deep-research-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to pminervini/deep-research-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/pminervini/deep-research-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/pminervini/deep-research-mcp

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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<a href="https://agentmods.dev/instructions/pminervini/deep-research-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/pminervini/deep-research-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,716 This file is loaded in full into every session.
When invoked 1,716 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 $0.01716 $0.01716
Opus 5.5 $0.00686 $0.00686
Sonnet 5.5 $0.00343 $0.00343
Haiku 4.5 $0.00172 $0.00172

Measured 5d ago against content hash 08059ea56c0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deep-research-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 5d 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.

AGENTS.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Behavioral Guidelines

These guidelines reduce common LLM coding mistakes. They bias toward caution over speed; for trivial tasks, use judgment.

Think Before Coding

  • State your assumptions explicitly. If uncertain, ask.
  • If multiple interpretations exist, present them -- don't pick silently.
  • If a simpler approach exists, say so. Push back when warranted.
  • If something is unclear, stop. Name what's confusing. Ask.

Simplicity First

  • No features beyond what was asked.
  • No "flexibility" or "configurability" that wasn't requested.
  • No error handling for impossible scenarios.
  • If you write 200 lines and it could be 50, rewrite it.
  • Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
  • Budget the whole maintained change, including tests, documentation, and untracked files. Simplification tasks must shrink it overall; stop and obtain approval before net growth.
  • Reuse existing tests/fixtures and canonical documentation. Preserve meaningful coverage; do not minify, relocate, or delete useful checks just to meet a line budget.
  • Before handoff, report added/deleted/net lines for runtime, tests, documentation, and the total against the pre-task baseline. Review every new file or helper as maintenance debt.

Surgical Changes

  • Don't "improve" adjacent code, comments, or formatting.
  • Don't refactor things that aren't broken.
  • Match existing style, even if you'd do it differently.
  • If you notice unrelated dead code, mention it -- don't delete it.
  • Remove imports/variables/functions that YOUR changes made unused.
  • Don't remove pre-existing dead code unless asked.
  • The test: every changed line should trace directly to the user's request.

Goal-Driven Execution

  • Transform tasks into verifiable goals:
    • "Add validation" -> "Write tests for invalid inputs, then make them pass"
    • "Fix the bug" -> "Write a test that reproduces it, then make it pass"
    • "Refactor X" -> "Ensure tests pass before and after"
  • For multi-step tasks, state a brief plan with verification checks.
  • Strong success criteria let you loop independently. Weak criteria ("make it work") require constant clarification.

Read the full file on GitHub · 111 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.

  1. 5d ago Changed · +2 lines · +71 tokens per session 08059ea56c0d
  2. 17d ago Changed · +64 tokens per session 65a73579bab5
  3. 1mo ago Changed · +1 lines · +48 tokens per session d48f115d51e7
  4. 2mo ago First seen · 108 lines · 1,533 tokens per session scan A f22a27ee413e

Subscribe to this mod's changes

deep-research-mcp AGENTS.md is an instructions file published in the GitHub repository pminervini/deep-research-mcp (116 stars, last pushed 2d ago), licensed MIT. It adds 1,716 tokens to every session, about $0.0069 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 2026-08-30.

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