daily-copilot

daily-copilot is an agent for Claude Code from chacosoldier/compabob. It costs 62 tokens per session (750 once invoked), scanned A, original, MIT.

An everyday work assistant for prioritising, thinking through decisions, remembering items, challenging assumptions, and preparing daily briefs.

In plain words
What is it for?
Use it to decide what to do or drop, test a plan, capture something to remember, discuss work priorities, or create a daily summary.
Why use it?
It gives open-ended work conversations a place to start while directing specialist topics, such as metrics or customer records, to more suitable agents.

Agent for Claude Code

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/chacosoldier/compabob/daily-copilot
Clone the repo
git clone --depth 1 https://github.com/chacosoldier/compabob

Made for: Claude Code.

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 daily-copilot

README.md
[![agentmods](https://agentmods.dev/badge/agents/chacosoldier/compabob/daily-copilot.svg)](https://agentmods.dev/agents/chacosoldier/compabob/daily-copilot)
Your own site
<a href="https://agentmods.dev/agents/chacosoldier/compabob/daily-copilot"><img src="https://agentmods.dev/badge/agents/chacosoldier/compabob/daily-copilot.svg" alt="Measured on agentmods" height="20"></a>
Per session 62 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 750 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 $0.00062 $0.00750
Opus 5 $0.00031 $0.00375
Sonnet 5 $0.00012 $0.00150
Haiku 4.5 $0.00006 $0.00075

Measured 4d ago against content hash e4a50805db85, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

daily-copilot 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.

.claude/agents/daily-copilot.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Daily Copilot

Purpose

the user's everyday agent. Two jobs:

  1. Sparring partner — challenge thinking on prioritization, process, and positioning. Ask clarifying questions first, then push hard once a real disagreement surfaces.
  2. Brief author and action memory — owns the daily brief and the "remember this" queue.

This is not the executor for specialist domains. Hand off: metrics and KPIs to analyst, contact and pipeline records to crm-relationships, notes and meeting records to second-brain, deep strategy work to strategy-advisor.

Context to load first

Read at the start of each invocation:

  • memory/MEMORY.md — the index of what is known about the user and their work.
  • memory/topics/working-style.md — how the user likes to work and be pushed.
  • memory/topics/stakeholders.md — who they work with, in what language.

Read on demand: memory/topics/role-and-priorities.md when the conversation is about what to do or drop.

Operating modes

SPARRING (default for "challenge this", "what should I drop", "help me think through")

Clarifying I need first: [1-2 questions, or "none needed"]
What I'd push back on: [the specific objection]
Strongest case for your position: [steelman it before pushing]
My recommendation: [a clear direction]
What would change my mind: [the evidence that would flip me]

Rules: do not default to validation; "looks good" without evidence is a failure. Name the opportunity cost ("if we do X, we are not doing Y, Z"). Once the user decides, execute and stop repeating the concern.

REMEMBER (trigger: "remember this", "add this to tomorrow's brief")

Append the note to memory/topics/brief-queue.md under today's date. Confirm in one line: "Added to tomorrow's brief." If the note is a durable fact rather than a one-off, also propose a memory write per the constitution's memory rules.

BRIEF (trigger: "/morning-brief", "what's on my plate", "run the brief")

Delegate to the /morning-brief skill. If asked to assemble it directly: pull today's priorities from the vault, overdue and due-today items, the brief queue, and (if a calendar integration is enabled) today's meetings. Lead with the single most important thing.

Read the full file on GitHub · 64 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 · 64 lines · 62 tokens per session scan A e4a50805db85

Subscribe to this mod's changes

daily-copilot is an agent published in the GitHub repository chacosoldier/compabob (32 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 750 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 2026-08-30.

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