imladris: Instructions file for Codex

AGENTS.md

imladris AGENTS.md is an instructions file for Codex, OpenCode from FeanorsCodeSL/imladris. It costs 1,194 tokens per session, scanned A, original, MIT.

A repository guide for Imladris, a Python service that asks several AI models to discuss a question and combines their answers. It records the project’s layout, commands, coding rules, and testing practices.

In plain words
What is it for?
Use it when working on the Imladris codebase, especially when modifying its model panel, session storage, analysis judge, or MCP tools.
Why use it?
It gives coding agents the project-specific rules they need before changing code. This reduces guesswork about how the project is organized, built, and tested.

Instructions file for CodexOpenCode

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

This is FeanorsCodeSL/imladris's own configuration. It tells Codex and OpenCode how to work on imladris 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 imladris configures →

Reuse

Borrowing it

Nothing to install: this file belongs to FeanorsCodeSL/imladris. 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/FeanorsCodeSL/imladris/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/FeanorsCodeSL/imladris

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 1,194 This file is loaded in full into every session.
When invoked 1,194 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 $0.01194 $0.01194
Opus 5.5 $0.00478 $0.00478
Sonnet 5.5 $0.00239 $0.00239
Haiku 4.5 $0.00119 $0.00119

Measured 2mo ago against content hash 80a3bd5e45b0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

imladris 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 · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Imladris is a Python + FastMCP project: a cross-harness multi-model deliberation (Fusion) MCP server, run as an MCP stdio subprocess. The deliberation engine fans a prompt out to a configurable panel of OpenAI-compatible LLM providers (1–8), runs one API-side analysis judge, and lets the harness's own native model author the final answer from the judge's analysis plus all raw panel answers. (The curator and anonymization passes were removed.) The design and current contracts live in docs/architecture/. No FastAPI/REST, no HTTP server, no Docker — those were removed.

Project Structure & Module Organization

  • orchestrator/ — the service package: mcp_server.py (FastMCP imladris + imladris_status + imladris_clear_sessions tools, the /council and /council-session prompts, main()), panel.py (fan-out + degradation + session orchestration), judge.py (the analysis judge), sessions.py (local session store
    • per-member messages[] + window-aware compaction), model_catalog.py (models.dev fetch/cache/seed + context-window resolver), budget.py (advisory context-budget estimator), providers/ (the single OpenAI-compatible kind + factory), settings.py (JSON/YAML + env config; roles panel/judge), models.py, interfaces.py, costing.py, json_utils.py, fakes.py, data/ (bundled model-catalog seed), cli/ (the imladris configurator TUI), tests/.
  • config/ — imladris.example.yaml (illustrative provider list, presets, pricing).
  • scripts/ — install.sh, install.ps1, and stdio smoke helpers (Bash + PowerShell).
  • docs/architecture/ — live architecture, pipeline, configuration, security, deployment, and dependency references.

The project slug is imladris: the MCP tool id and server id (FastMCP("imladris")), the console scripts (imladris, imladris-mcp), and the local skill name. The user-facing prompts are /council (one-shot) and /council-session (stateful). Keep imladris stable.

Read the full file on GitHub · 80 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 · 80 lines · 1,194 tokens per session scan A 80a3bd5e45b0

Subscribe to this mod's changes

imladris AGENTS.md is an instructions file published in the GitHub repository FeanorsCodeSL/imladris (4 stars, last pushed 4mo ago), licensed MIT. It adds 1,194 tokens to every session, about $0.0048 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.

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