forecast-review-prep

forecast-review-prep is a skill for Claude Code, Codex from microsoft/cat-agent-skills. It costs 126 tokens per session (1,283 once invoked), scanned A, original, MIT.

A one-page briefing for an upcoming forecast, business, or operating review. It gathers the meeting, attendees, recent discussions, key numbers, and unresolved items into a single pre-read.

In plain words
What is it for?
Use it to prepare a review brief with attendee roles, expected focus areas, numbers to bring, and open actions from the previous cycle.
Why use it?
It saves time searching across calendars, email, chat, and older review notes. It gives participants a shared view of what the meeting is likely to cover.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

Good fit Use it to prepare a review brief with attendee roles, expected focus areas, numbers to bring, and open actions from the previous cycle.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/cat-agent-skills/forecast-review-prep
About the project

microsoft/cat-agent-skills is a static website that catalogs reusable instruction sets and related packages for AI agents. People use it to search, filter, rate, and download skills for Cowork, Copilot Studio, and Scout, along with Copilot plugins and Scout automations. The catalogue entries are the skills, instructions, plugins, and settings displayed by the site.

microsoft/cat-agent-skills · 101 stars · on GitHub

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 microsoft/cat-agent-skills --skill forecast-review-prep
Clone the repo
git clone --depth 1 https://github.com/microsoft/cat-agent-skills

Made for: Claude Code, Codex.

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 forecast-review-prep

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/forecast-review-prep/github.svg)](https://agentmods.dev/skills/microsoft/cat-agent-skills/forecast-review-prep)
Your own site
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/forecast-review-prep"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/forecast-review-prep/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for forecast-review-prep

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/forecast-review-prep"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/forecast-review-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,283 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 $0.00126 $0.01283
Opus 5.5 $0.00050 $0.00513
Sonnet 5.5 $0.00025 $0.00257
Haiku 4.5 $0.00013 $0.00128

Measured 2d ago against content hash bb70677bc194, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

forecast-review-prep 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 2d 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.

submissions/finance-for-cowork/skills/forecast-review-prep/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Forecast / Business Review Prep

A single-screen brief for an upcoming review: what it is, who's in the room, what they'll likely focus on, the numbers to have ready, and what's still open from last cycle.

When NOT to Use

  • General meeting prep for any meeting type → outside this skill's scope
  • Building the forecast or model itself → spreadsheet or BI work, do that first
  • Anticipating and pre-answering specific questions → use stakeholder-qa-prep
  • 1:1 prep → outside this skill's scope

Hand off rather than overlap:

  • Anticipating and pre-answering questions — use stakeholder-qa-prep instead.
  • A slide-format prep pack — use pptx instead.
  • Writing the variance narrative itself — use variance-commentary instead.
  • Close-cycle status — use close-status-digest instead.
  • General meeting prep of any type — outside this skill's scope.

Workflow

1. Find the meeting

outlook_calendar-ListCalendarView from now through the next seven days, matched on the subject keywords the user used. If they named it exactly, use that. If several candidates remain, list them with core-AskUserQuestion — never guess between two plausible reviews.

Capture subject, start time in the user's local time zone, organizer, and attendees.

2. Identify the senior attendee

Scan the attendee list and resolve unfamiliar names with me_profile-GetUserDetails or me_profile-SearchPeople to surface role and team. The most senior person in the room is effectively who the user is preparing for — anchor the focus areas around them.

Never infer seniority from a name or email pattern; resolve it from the directory or leave it unstated.

3. Gather context — run these in parallel

  • m365_search-SearchM365 with sources=["email","teams"] on the meeting subject and its key metrics, last 14 days
  • m365_search-SearchM365 with sources=["files"] for pre-read documents referenced in those threads
  • outlook-ListMessages filtered to the senior attendee, last 7 days
  • If the meeting recurs, find the prior occurrence with outlook_calendar-ListEvents and pull its follow-up thread for open action items

Read the full file on GitHub · 123 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. 2d ago First seen · 123 lines · 126 tokens per session scan A bb70677bc194

Subscribe to this mod's changes

forecast-review-prep is a skill published in the GitHub repository microsoft/cat-agent-skills (101 stars, last pushed yesterday), licensed MIT. It adds 126 tokens to every session and 1,283 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-11-06.

Related

forecast-review-prep compared with skills from other repositories

forecast-review-prep next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
forecast-review-prepmicrosoft/cat-agent-skillsSkill101yesterdayMITA126Claude Code, Codex
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79kyesterdayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill100kyesterdayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
systematic-debuggingobra/superpowersSkill314k4d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code