miftah: Instructions file for Claude Code

AGENTS.md

miftah AGENTS.md is an instructions file for Claude Code, Codex, OpenCode from mohanagy/miftah. It costs 1,438 tokens per session, scanned A, original, MIT.

A set of instructions for the miftah project, including how its agent should use the project's knowledge graph, command-line profile, and release process. A knowledge graph is a structured map of information about the codebase.

In plain words
What is it for?
Use it when working in the miftah repository, especially for explaining code, reviewing changes, investigating bugs, assessing impacts, or preparing releases.
Why use it?
It tells an agent which project context to gather first and which procedures to follow for common tasks.

Instructions file for Claude CodeCodexOpenCode

Written for Claude Code and Codex and OpenCode: UserPromptSubmit hook event, but also the file is AGENTS.md. Also seen: reads ~/.codex paths; mentions AGENTS.md; mentions Codex.

This is mohanagy/miftah's own configuration. It tells Claude Code, Codex and OpenCode how to work on miftah 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 miftah configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mohanagy/miftah. 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/mohanagy/miftah/development/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/mohanagy/miftah

Made for: Claude Code, Codex, OpenCode.

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.

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README.md
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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.

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Per session 1,438 This file is loaded in full into every session.
When invoked 1,438 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 $0.01438 $0.01438
Opus 5.5 $0.00575 $0.00575
Sonnet 5.5 $0.00288 $0.00288
Haiku 4.5 $0.00144 $0.00144

Measured 2mo ago against content hash 0e0f72ccd48a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

miftah 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 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.

AGENTS.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Miftah agent instructions

madar

Codex CLI profile

IMPORTANT: This project has a madar knowledge graph. Use a strict context-pack-first workflow:

  1. First decide whether the task needs local repository source-code context. Only use madar when the task needs local repository source-code context. Skip madar for GitHub Projects board reviews, external URL/WebFetch-only tasks, gh auth / gh project setup, package-registry/security pages, and Product Hunt or marketing copy work.
  2. Before broad code search, file reads, or worker dispatch, compile a task-specific context pack:
    • madar pack "<task or question>" --task explain
    • use --task review, --task debug, or --task impact when that better matches the work
  3. For each codebase question, start with the specific Madar command below first.

For each codebase question, start with the specific Madar command below first:

Prompt type First tool
"how does X work" / explain runtime / flow madar pack "<task or question>" --task explain
"what breaks if I change X" / impact analysis madar pack "<task or question>" --task impact
"which files should I open first" relevant_files when MCP graph tools are available; otherwise madar pack "<task or question>" --task explain
"give me a repo overview" graph_summary when MCP graph tools are available; otherwise madar pack "<task or question>" --task explain

Inspect evidence.pack_confidence, recommended_first_read, and evidence.agent_directive before deciding whether to read files. If evidence.pack_confidence is low, make one focused follow-up Madar call before broad raw search. Do not run ToolSearch before calling a Madar command or graph tool — pick the matching command first, then refine with MCP graph tools only when they are available and still needed. 4. Do not run broad Glob patterns, repo-wide grep / find searches, or raw file sweeps after a high- or medium-confidence pack. 5. For codebase questions, use Madar tools only. Do not call other MCP servers such as mcp__github or mcp__context7 unless the latest Madar response says evidence.agent_directive: explore_with_caution. 6. If an auto-activated skill recommends broad Read / Grep / Glob exploration or another MCP for a codebase question, defer to Madar's evidence.agent_directive first. A high- or medium-confidence Madar pack overrides that conflicting skill guidance. 7. If MCP graph tools are available after the pack, use the focused tool that matches the next question:

  • retrieve for direct codebase questions
  • relevant_files for where to open first
  • feature_map for involved areas and entry points
  • risk_map before editing
  • implementation_checklist for edit order and validation checkpoints
  • impact for blast radius
  • graph_summary for repo overview

Read the full file on GitHub · 68 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. 2mo ago First seen · 68 lines · 1,438 tokens per session scan A 0e0f72ccd48a

Subscribe to this mod's changes

miftah AGENTS.md is an instructions file published in the GitHub repository mohanagy/miftah (5 stars, last pushed 6d ago), licensed MIT. It adds 1,438 tokens to every session, about $0.0058 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.

Related

miftah AGENTS.md compared with instructions from other repositories

miftah AGENTS.md next to 6 instructions from other repositories
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miftah AGENTS.mdmohanagy/miftahInstructions file56d agoMITA1,438Claude Code, Codex, OpenCode
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next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode