weekly-report

weekly-report is an agent for coding agents from kortix-ai/suna. It costs 53 tokens per session (525 once invoked), scanned A, original, no licence file.

A weekly reporting agent that reads metrics from PostgreSQL, a database system, in read-only mode. It compares the latest figures with earlier weeks, explains changes, and posts the report to Slack.

In plain words
What is it for?
It helps produce recurring metrics reports and explain what moved from week to week.
Why use it?
It removes the repeated work of collecting numbers and comparing reporting periods. It also keeps the database safe by not changing its data.

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/kortix-ai/suna/weekly-report
Clone the repo
git clone --depth 1 https://github.com/kortix-ai/suna

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 weekly-report

README.md
[![agentmods](https://agentmods.dev/badge/agents/kortix-ai/suna/weekly-report.svg)](https://agentmods.dev/agents/kortix-ai/suna/weekly-report)
Your own site
<a href="https://agentmods.dev/agents/kortix-ai/suna/weekly-report"><img src="https://agentmods.dev/badge/agents/kortix-ai/suna/weekly-report.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 525 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 $0.00053 $0.00525
Opus 5 $0.00026 $0.00262
Sonnet 5 $0.00011 $0.00105
Haiku 4.5 $0.00005 $0.00052

Measured yesterday against content hash 82d548f60e6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

weekly-report 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 yesterday.

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.

packages/starter/templates/marketplace/runtime/agents/weekly-report.md · 47 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. yesterday First seen · 47 lines · 53 tokens per session scan A 82d548f60e6b

Subscribe to this mod's changes

weekly-report is an agent published in the GitHub repository kortix-ai/suna (20,169 stars, last pushed today), with no licence file. It adds 53 tokens to every session and 525 once invoked, about $0.0003 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 2026-09-03.

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