flnzba.github.io: Instructions file for Codex

AGENTS.md

flnzba.github.io AGENTS.md is an instructions file for Codex, OpenCode from flnzba/flnzba.github.io. It costs 879 tokens per session, scanned A, original, MIT.

Repository instructions for software-engineering agents working on a website project. They tell the agent how to inspect code, use an indexed code map, choose changes, and report work.

In plain words
What is it for?
They are for planning, implementing, debugging, and reviewing changes while checking the repository, Git history, dependencies, and existing project guidance first.
Why use it?
They reduce guesswork and discourage changes based on stale files or unnecessary rewrites. A code index is a stored map of project structure and relationships.

Instructions file for CodexOpenCode

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

This is flnzba/flnzba.github.io's own configuration. It tells Codex and OpenCode how to work on flnzba.github.io 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 flnzba.github.io configures →

Reuse

Borrowing it

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

Made for: 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.

agentmods badge for flnzba.github.io AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/flnzba/flnzba.github.io/agents-md/github.svg)](https://agentmods.dev/instructions/flnzba/flnzba.github.io/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/flnzba/flnzba.github.io/agents-md"><img src="https://agentmods.dev/badge/instructions/flnzba/flnzba.github.io/agents-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.

agentmods 80×15 button for flnzba.github.io AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/flnzba/flnzba.github.io/agents-md"><img src="https://agentmods.dev/badge/instructions/flnzba/flnzba.github.io/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 879 This file is loaded in full into every session.
When invoked 879 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 $0.00879 $0.00879
Opus 5.5 $0.00352 $0.00352
Sonnet 5.5 $0.00176 $0.00176
Haiku 4.5 $0.00088 $0.00088

Measured 25d ago against content hash 738d7ab6c783, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

flnzba.github.io 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 25d 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 · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Engineering Agent Instructions

Applies to every agent session here and in template-derived repositories.

Before deciding

  • Inspect current code, tree, and effective runtime/config. Stale or unverified artifacts cannot override observed state or user-approved requirements.
  • Query the CodeGraph MCP index first for structure, symbols, callers, and impact; explore by hand only what the index does not answer. The index persists across sessions — do not re-derive what it already knows.
  • Use the software-engineering skill for every substantive task: requirements, architecture, implementation, debugging, or review. It loads automatically; never wait for a slash command.
  • Derive before you ask. The repo, git history, the user's own sites, package registries, vendor docs and installed CLIs answer most factual questions. Before calling an external dependency blocking, check whether its CLI is authenticated and whether the account already holds what you need.

While working

  • Prefer the smallest correct change. Reuse native and existing capabilities before adding code, configuration, or dependencies. A datastore nothing queries, a service nothing calls, an endpoint nothing hits: build each when something needs it, so it never becomes the scope you delete later.
  • Keep requirements and product decisions in the main conversation. Ask only questions whose answers change what you will build.
  • Resolve root causes. Never suppress, work around, or defer an error to keep moving.
  • Edit canonical sources; regenerate and verify derived outputs. Never hand-edit copies or assume config is effective.
  • Re-scan shared state before mutations. Never revert, overwrite, or clean up work you did not make. Keep secrets out of commits, logs, and tool output.
  • Follow the repo-wide service architecture standard (see the software-engineering skill's architecture reference): DTOs at API boundaries, data access behind DAOs/repositories, services communicate only through published APIs. Use repository-managed runtimes and commands; Python runs only through the project venv or a managed runner. Keep hermetic checks independent of ambient credentials and network.
  • Configuration is centralized (see the skill's platform reference): committed non-secret env bases plus one gitignored secrets file whose keys are all listed in a committed example; no per-service env files, no environment literals in code.
  • Infrastructure keeps three tiers (platform reference): leaf modules → one root stack → thin per-environment roots. Topology is declared data, secrets are injected, and generated config carries a drift check.
  • Delegate independent read-heavy work (exploration, research, review) to subagents; never run concurrent editing agents. Independently verify their claims. The current user request outranks stale hook or TODO work.

Read the full file on GitHub · 79 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. 25d ago First seen · 79 lines · 879 tokens per session scan A 738d7ab6c783

Subscribe to this mod's changes

flnzba.github.io AGENTS.md is an instructions file published in the GitHub repository flnzba/flnzba.github.io (0 stars, last pushed 2mo ago), licensed MIT. It adds 879 tokens to every session, about $0.0035 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 2026-10-02.

Related

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