Borrowing it
Nothing to install: this file belongs to timothywarner/copilot-dev. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/timothywarner/copilot-dev/main/.claude/commands/freshen.mdgit clone --depth 1 https://github.com/timothywarner/copilot-devWrote 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.
[](https://agentmods.dev/commands/timothywarner/copilot-dev/freshen)<a href="https://agentmods.dev/commands/timothywarner/copilot-dev/freshen"><img src="https://agentmods.dev/badge/commands/timothywarner/copilot-dev/freshen/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.
<a href="https://agentmods.dev/commands/timothywarner/copilot-dev/freshen"><img src="https://agentmods.dev/badge/commands/timothywarner/copilot-dev/freshen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00019 | $0.00564 |
| Opus 5.5 | $0.00008 | $0.00226 |
| Sonnet 5.5 | $0.00004 | $0.00113 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
freshen 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are auditing this teaching repo for date-sensitive Copilot content that may have drifted since the last delivery. Today's date and the live README.md / COURSE_PLAN_MAY_*.md define "current" — verify everything else against those plus official sources.
Your task
-
Scan these files for date-sensitive facts (model names, prices, premium-request quotas, GA dates, feature names, deprecation lists):
README.md- The most recent
COURSE_PLAN_*.mdat the repo root CLAUDE.mddocs/COPILOT_AGENT_TUTORIAL.mddocs/COPILOT_CUSTOMIZATION_SAMPLES.mddocs/latest-github-news.mddocs/certification/*.md- Any file under
.github/agents/or.github/instructions/that names a specific model
-
Cross-check against authoritative sources using WebSearch and WebFetch:
- https://docs.github.com/en/copilot/reference/ai-models/supported-models
- https://docs.github.com/en/copilot/concepts/billing/usage-based-billing-for-individuals
- https://github.blog/changelog/ (filter for entries since the last delivery)
- https://github.com/github/copilot-cli/releases (latest CLI version)
-
Report findings as a single markdown table:
File Line Stale claim Current reality Suggested edit Then a short "Headline since last delivery" summary (3-5 bullets) of what changed and what Tim should lead with on stage.
Rules
- Do not edit anything. Report only. The user will decide which edits to apply.
- If you cannot verify a fact (web search inconclusive), mark it
UNVERIFIEDrather than guessing. - Skip
archive/— it is preserved historical material, not current. - Skip the deliberately-deprecated demo file
.github/chatmodes/new-mode.chatmode.md(kept for the rename teaching moment). - Skip the intentional bug in
src/tip-lookup.js(line 35 — documented in its header). - The
references/anddocs/references/files (Microsoft Style Guide, fictional companies) are not date-sensitive — skip them.
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.
- 2mo ago First seen · 44 lines · 19 tokens per session scan A 378fcdb176bc
freshen is a command published in the GitHub repository timothywarner/copilot-dev (46 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 564 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
learn-story-flow
Learn story-flow concepts with interactive guidance for junior developers.
start-10-1
A guided lesson on setting up clasp, a command-line tool for managing Google Apps Script projects, and connecting it to Google’s Apps Script API.
start-0-8
A Japanese-language command that displays the current project setup progress.
setup-m365cli.es
Lesson command — Setup de M365 CLI.
prep-role
Deep prep for a specific role's interview process. The user wants to know what to expect, how to win, and what kills candidates at their level.
setup-vercel.es
Command "setup-vercel.es" from minicoohei/ai-agent-camp, covering configuración de vercel cli, step 0: verificar progreso de configuración, lo que hará en esta sesión, verificación de preparación and step 1: crear cuenta de vercel.