summary

summary is a skill for Claude Code, Codex from runbear-io/aweek. It costs 22 tokens per session (1,155 once invoked), scanned A, original, Apache-2.0.

A read-only dashboard for aweek agents, where agents are scheduled coding tasks. It shows each agent's goals, weekly task progress, token-budget use, and current status in a compact table.

In plain words
What is it for?
Use it to review the overall state of every aweek agent, then choose an agent for more detail when needed.
Why use it?
It gives you a quick view of all agents without opening their individual files or changing their data. This makes it easier to spot progress, budget use, and lifecycle problems.

Skill for Claude CodeCodex

Part of the aweek plugin — 14 skills shipped together

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 skills/runbear-io/aweek/summary
Any agent
npx skills add runbear-io/aweek --skill summary
Clone the repo
git clone --depth 1 https://github.com/runbear-io/aweek

Made for: Claude Code, Codex.

Or install aweek, the plugin that ships this one along with the rest of its 14 skills.

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 summary

README.md
[![agentmods](https://agentmods.dev/badge/skills/runbear-io/aweek/summary.svg)](https://agentmods.dev/skills/runbear-io/aweek/summary)
Your own site
<a href="https://agentmods.dev/skills/runbear-io/aweek/summary"><img src="https://agentmods.dev/badge/skills/runbear-io/aweek/summary.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,155 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00022 $0.01155
Opus 5 $0.00011 $0.00577
Sonnet 5 $0.00004 $0.00231
Haiku 4.5 $0.00002 $0.00115

Measured 4d ago against content hash 730e3642b35a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

summary 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 4d 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.

skills/summary/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

aweek:summary

Display a one-screen dashboard for every aweek agent. Each row shows the agent's name, goal count, weekly task progress, token-budget usage, and current lifecycle state.

This skill is read-only — it never mutates agent data.

Instructions

Follow this exact workflow when invoked. Use the project's Node.js modules in src/skills/summary.js — never read agent JSON files directly.

Step 1: Gather and render the dashboard

Run:

echo '{"dataDir":".aweek/agents"}' \
  | aweek exec summary buildSummary --input-json -

The JSON result exposes result.report (the formatted table) and result.agentCount. Present the formatted output from result.report directly to the user. Do not paraphrase or re-order columns — the table is intentionally compact.

Step 2: Offer drill-down (only when agents exist)

Do not volunteer the detail view automatically — keep the first screen focused on the dashboard table. When result.agentCount === 0, skip this step entirely.

2a. Fetch drill-down choices

Call getAgentDrillDownChoices to build a homogeneous list of options for the prompt (every real agent plus a synthetic No thanks entry with id: null):

echo '{"dataDir":".aweek/agents"}' \
  | aweek exec summary getAgentDrillDownChoices --input-json -
2b. Ask which agent to inspect

Use AskUserQuestion with the labels from the previous step. The recommended phrasing: "Inspect a specific agent in detail?"

  • Map each choice's label to an answer option.
  • The No thanks entry (with id: null) is always the last option — select it to end the skill without any detail view.
2c. Render the detail block

If the user picks a real agent, call buildAgentDrillDown with its id and print result.report verbatim:

echo '{"dataDir":".aweek/agents","agentId":"<id-from-the-user>"}' \
  | aweek exec summary buildAgentDrillDown --input-json -

The returned JSON has a report field — print it verbatim.

Read the full file on GitHub · 130 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. 4d ago First seen · 130 lines · 22 tokens per session scan A 730e3642b35a

Subscribe to this mod's changes

summary is a skill published in the GitHub repository runbear-io/aweek (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 1,155 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 2026-08-30.

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