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.
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.
curl -O https://raw.githubusercontent.com/fastrepl/anarlog/main/.agents/skills/product-update-newsletter/SKILL.mdgit clone --depth 1 https://github.com/fastrepl/anarlogWrote 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/skills/fastrepl/anarlog/product-update-newsletter)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00062 | $0.02812 |
| Opus 5 | $0.00031 | $0.01406 |
| Sonnet 5 | $0.00012 | $0.00562 |
| Haiku 4.5 | $0.00006 | $0.00281 |
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); 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 asIf you've been putting off updating, this is the one to takeorIt 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, andSync 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 asNow they earn itand vague phrases such asAccuracy 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.
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.
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.
- yesterday Changed · +15 lines 5571f44219a0
- 11d ago First seen · 273 lines · 62 tokens per session scan A ecf89e9f27ae
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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