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/new-changelog/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/new-changelog)<a href="https://agentmods.dev/skills/fastrepl/anarlog/new-changelog"><img src="https://agentmods.dev/badge/skills/fastrepl/anarlog/new-changelog.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00224 |
| Opus 5 | $0.00025 | $0.00112 |
| Sonnet 5 | $0.00010 | $0.00045 |
| Haiku 4.5 | $0.00005 | $0.00022 |
Grade A, and why
new-changelog 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 8d 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.
What it actually says
Determine the next desktop version by inspecting .github/workflows/desktop_cd.yaml and running:
doxxer --config doxxer.desktop.toml current
doxxer --config doxxer.desktop.toml next patch
Create the new markdown file in packages/changelog/content for that version.
Each changelog file must start with frontmatter that includes both date and
summary:
---
date: "YYYY-MM-DD"
summary: "One concise, user-facing sentence for the changelog index preview."
---
Keep summary plain text. Do not use markdown or custom tags in it. The web
changelog index renders this field directly, so it should describe the release
at a glance without leaking implementation details.
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.
- 8d ago First seen · 30 lines · 50 tokens per session scan A 5ab1862d7a41
new-changelog is a skill published in the GitHub repository fastrepl/anarlog (9,255 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 224 once invoked, about $0.0003 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 2026-08-30.
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