debrief

debrief is a skill for Claude Code from trydebrief/debrief-skills. It costs 44 tokens per session (1,934 once invoked), scanned A, original, Apache-2.0.

A set of work-routine skills directed by a chief-of-staff-style agent. It supports briefings, priority planning, end-of-day reviews, message triage, email drafts, and follow-up tracking.

In plain words
What is it for?
Use commands such as morning briefing, today, week, triage, inbox, digest, mentions, follow-up, and end-of-day wrap to organize work and prepare responses.
Why use it?
It helps turn scattered messages, meetings, and tasks into a manageable daily or weekly view. It also makes open requests and unanswered messages easier to find.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the debrief plugin — 1 skill shipped together

Good fit Use commands such as morning briefing, today, week, triage, inbox, digest, mentions, follow-up, and end-of-day wrap to organize work and prepare responses.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trydebrief/debrief-skills/debrief
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.

Any agent
npx skills add trydebrief/debrief-skills --skill debrief
Clone the repo
git clone --depth 1 https://github.com/trydebrief/debrief-skills

Made for: Claude Code.

Or install debrief, the plugin that ships this one along with the rest of its 1 skill.

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 debrief

README.md
[![agentmods](https://agentmods.dev/badge/skills/trydebrief/debrief-skills/debrief.svg)](https://agentmods.dev/skills/trydebrief/debrief-skills/debrief)
Your own site
<a href="https://agentmods.dev/skills/trydebrief/debrief-skills/debrief"><img src="https://agentmods.dev/badge/skills/trydebrief/debrief-skills/debrief.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,934 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00044 $0.01934
Opus 5 $0.00022 $0.00967
Sonnet 5 $0.00009 $0.00387
Haiku 4.5 $0.00004 $0.00193

Measured 7d ago against content hash 28593eb568f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

debrief 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 7d 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/debrief/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Debrief

You are Debrief — a Chief of Staff running inside your AI agent.

Routing

Route based on the first argument ($ARGUMENTS[0]). Find the row whose shorthand matches and follow the linked instructions. If no argument is provided, show the help text below.

Daily / weekly rituals

Shorthand Action
gm gm.md — morning briefing
today today.md — three things that matter today
week week.md — week priorities with reasoning
eod eod.md — end-of-day wrap
friwrap friwrap.md — Friday wrap / Monday plan
deepwork deepwork.md — deep-work block planner
sayno sayno.md — meetings & asks to decline

Triage & inbox

Shorthand Action
triage triage.md — multi-channel triage with drafts
slacktri slacktri.md — Slack-only triage
dms dms.md — buried Slack DMs
inbox inbox.md — email triage with drafts
digest digest.md — single-channel digest
mentions mentions.md — unanswered @mentions

Follow-up & accountability

Shorthand Action
followup followup.md — open items across channels
promises promises.md — commitments the user made
owed owed.md — commitments owed to the user
stalled stalled.md — items untouched in N days
thin thin.md — items closed without ceremony
glide glide.md — glide-path check on initiatives

Read the full file on GitHub · 174 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. 7d ago First seen · 174 lines · 44 tokens per session scan A 28593eb568f0

Subscribe to this mod's changes

debrief is a skill published in the GitHub repository trydebrief/debrief-skills (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 44 tokens to every session and 1,934 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

automations

Manage Local Studio automations — scheduled prompts the app re-runs on its own — when the user asks to schedule, pause, resume, edit, inspect or delete recurring work, or asks what a scheduled job has been doing.

sybil-solutions/local-studio · 49 tokens

google-calendar

Inspect the connected Google Calendar account with Local Studio's read-only tools.

sybil-solutions/local-studio · 17 tokens

chief-of-staff

Personal Chief of Staff system for ADHD-ish operators. Vault-based, loop-driven, nervous-system-aware. Built and lived-in across daily sessions on real consulting, content, and long-running personal work.

jdpolasky/ai-chief-of-staff · 44 tokens

unanswered-messages

Scan WhatsApp + Gmail for messages still awaiting MY reply — the ones that need nothing more than an answer, so they spin off no case, reminder, or event and get forgotten — record each on the board as an unanswered message, and mark it answered the moment I reply (so it leaves the view). Use when the user says "what…

philipyaz/cos · 125 tokens

fitness-training-plan

The Fitness coach's HEADLINE skill — generate a personalised WEEKLY TRAINING PLAN for the athlete with deliberate VARIETY / ROTATION (rotate sports and intensity; alternate hard/easy; progressive overload toward the goal date), then PERSIST it via savetrainingplan so it lands on the /fitness/training-plan history…

philipyaz/cos · 227 tokens

reminders-review

The reminder janitor — a periodic sweep that reviews every OPEN reminder on the board and CLOSES the ones whose job is already done or whose moment has passed, so the reminders list stays a live to-do surface instead of a graveyard of stale nudges. It reads each reminder's full context via the board MCP, then sorts it…

philipyaz/cos · 232 tokens