geral

geral is an agent for coding agents from marcos2872/agents-config. It costs 28 tokens per session (360 once invoked), scanned A, original, no licence file.

A general-purpose coding agent for answering questions, carrying out tasks, reading and writing files, and running commands. It is intended for work that does not fit a more specialized agent.

In plain words
What is it for?
Use it for general development work, file changes, command-line tasks, and questions.
Why use it?
It gives you a default agent for mixed or undefined tasks when no specialist is the right match.

Agent

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.

agentmods
npx agentmods add agents/marcos2872/agents-config/geral
Clone the repo
git clone --depth 1 https://github.com/marcos2872/agents-config

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 geral

README.md
[![agentmods](https://agentmods.dev/badge/agents/marcos2872/agents-config/geral.svg)](https://agentmods.dev/agents/marcos2872/agents-config/geral)
Your own site
<a href="https://agentmods.dev/agents/marcos2872/agents-config/geral"><img src="https://agentmods.dev/badge/agents/marcos2872/agents-config/geral.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 360 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00028 $0.00360
Opus 5 $0.00014 $0.00180
Sonnet 5 $0.00006 $0.00072
Haiku 4.5 $0.00003 $0.00036

Measured 3d ago against content hash 0da348a00352, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

geral 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 3d 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.

opencode/agents/geral.md · 40 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 3d ago First seen · 40 lines · 28 tokens per session scan A 0da348a00352

Subscribe to this mod's changes

geral is an agent published in the GitHub repository marcos2872/agents-config (2 stars, last pushed 23d ago), with no licence file. It adds 28 tokens to every session and 360 once invoked, 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.