anarlog: Skill for Claude Code

.agents/skills/product-update-newsletter/SKILL.md

product-update-newsletter is a skill for Claude Code, Codex from fastrepl/anarlog. It costs 62 tokens per session (2,812 once invoked), scanned A, original, MIT.

A workflow for writing and checking Anarlog desktop-release newsletters in Loops, an email-campaign service, using the published changelog as the source.

In plain words
What is it for?
Drafting, revising, or checking the pre-send content of an Anarlog product-update email after a desktop release.
Why use it?
It keeps release emails aligned with the current changelog and prevents unfinished work from being described as shipped.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is fastrepl/anarlog's own configuration. It tells Claude Code and Codex how to work on anarlog itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything anarlog configures →

About the project

anarlog is a local-first AI meeting notetaker that captures device audio, transcribes meetings, and stores notes, transcripts, and recordings on the user's computer. It is for people who want meeting notes without adding a bot to calls or sending conversation data to an external cloud. The catalogue entries provide agent integrations and workflows for the application.

fastrepl/anarlog · 9,276 stars · on GitHub · anarlog.so

Reuse

Borrowing it

Nothing to install: this file belongs to fastrepl/anarlog. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/fastrepl/anarlog/main/.agents/skills/product-update-newsletter/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/fastrepl/anarlog

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 product-update-newsletter

README.md
[![agentmods](https://agentmods.dev/badge/skills/fastrepl/anarlog/product-update-newsletter/github.svg)](https://agentmods.dev/skills/fastrepl/anarlog/product-update-newsletter)
Your own site
<a href="https://agentmods.dev/skills/fastrepl/anarlog/product-update-newsletter"><img src="https://agentmods.dev/badge/skills/fastrepl/anarlog/product-update-newsletter/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 product-update-newsletter

Your own site · 80×15
<a href="https://agentmods.dev/skills/fastrepl/anarlog/product-update-newsletter"><img src="https://agentmods.dev/badge/skills/fastrepl/anarlog/product-update-newsletter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,812 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00062 $0.02812
Opus 5 $0.00031 $0.01406
Sonnet 5 $0.00012 $0.00562
Haiku 4.5 $0.00006 $0.00281

Measured yesterday against content hash 5571f44219a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

product-update-newsletter scanned grade A with 1 finding 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 yesterday.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

const r = await fetch(u);
.agents/skills/product-update-newsletter/SKILL.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Update Newsletter

Announce a desktop release to users through the "Anarlog update (...)" campaign in Loops.

Run this after ../new-changelog/SKILL.md produces the entry and the version is released via ../release-new-version/SKILL.md. The published changelog is the copy source, not the raw commit log.

Nightly announcement

The newsletter follows stable releases. Do not send a newsletter for each Nightly. In the next stable update, include the opt-in Nightly announcement from nightly-announcement.md, alongside that stable release's changelog. Existing users remain on stable automatically.

Before describing Nightly as available, verify its published installers, update feed, and https://anarlog.so/download/nightly/. Use the released stable changelog as the main source; Nightly-only changes are not shipped stable features. Nightly release notes live in the app and GitHub prereleases, not the website changelog. Prepare copy locally before publication is ready; create or update the Loops campaign once the stable release and linked Nightly are live.

Source of Truth

Read https://anarlog.so/changelog/<version>, which renders packages/changelog/content/<version>.md.

The changelog is frequently edited after first publish. When told it changed, re-fetch and diff against the current email body, then apply only the delta. Do not reapply the whole rewrite.

Map items to the existing structure rather than appending a dump:

  • Feature-level items become or extend an H3 section.
  • Minor UX items become bullets under "Small things that add up".
  • Reliability and privacy items append to the fixes paragraph after the bullets.

Keep beta or partially shipped work honestly qualified. If execution is not connected yet, say so.

Copy Style Contract

Write a product email, not an essay. Keep it crisp, concrete, and easy to scan.

  • Open with what shipped and when. Prefer We shipped four releases since last week. Anarlog 1.4.8 is here. over scene-setting such as If you've been putting off updating, this is the one to take or It folds in four releases.
  • If encouraging an update, use explicit loss framing tied to named features: If you aren't updating, you're missing out on Automations that run after every meeting, editable transcripts, meeting imports, and near-instant sync. Do not use vague hype, guilt, or blame.
  • Lead with outcomes and specific numbers: 30 assistants, eight connect directly, about a second. Cut adjectives when a fact can do the work.
  • Use short, active H3 headings such as Automations do the work now, Transcripts you can fix, and Sync you stop thinking about.
  • Keep most paragraphs to one to three sentences. Split long chains, remove repeated setup, and do not restate the same framing in both the intro and fixes paragraph.
  • Use contractions and direct verbs. Last week ... This week ... is a useful cadence when it connects one update to the next. Avoid cutesy transitions such as Now they earn it and vague phrases such as Accuracy got quieter improvements.
  • Keep subjects compact and noun-led: Anarlog 1.4.8: automations, meeting imports, instant sync. Preview text should front-load concrete outcomes and stay near 90 to 140 characters.
  • Self-critical language belongs only when Anarlog or the company was actually at fault. Never add an apology merely to sound personal.
  • Read the final copy aloud and cut anything that can disappear without losing a fact, instruction, or point of view. Changelog lists are allowed; do not force prose just to avoid a list.

Read the full file on GitHub · 288 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday Changed · +15 lines 5571f44219a0
  2. 11d ago First seen · 273 lines · 62 tokens per session scan A ecf89e9f27ae

Subscribe to this mod's changes

product-update-newsletter is a skill published in the GitHub repository fastrepl/anarlog (9,276 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 2,812 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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