Lotti is a private logbook that stores tasks, time records, notes, habits, and health data on a person's devices, with personal AI assistants that summarize records and suggest changes for approval. It is for people who want to track intended and completed work while keeping synchronized data end-to-end encrypted. The catalogue add-ons provide agents, skills, and instructions for working with Lotti.
Borrowing it
Nothing to install: this file belongs to matthiasn/lotti. 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/matthiasn/lotti/main/.claude/skills/review-comments/SKILL.mdgit clone --depth 1 https://github.com/matthiasn/lottiWrote 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/matthiasn/lotti/review-comments)<a href="https://agentmods.dev/skills/matthiasn/lotti/review-comments"><img src="https://agentmods.dev/badge/skills/matthiasn/lotti/review-comments/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/matthiasn/lotti/review-comments"><img src="https://agentmods.dev/badge/skills/matthiasn/lotti/review-comments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 50 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00018 | $0.02613 |
| Opus 5 | $0.00009 | $0.01307 |
| Sonnet 5 | $0.00004 | $0.00523 |
| Haiku 4.5 | $0.00002 | $0.00261 |
Grade A, and why
review-comments scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://api.codecov.io/api/v2/github/{owner}/repos/{repo}/compare?pullid=$ARGUMENTS" \ The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 9d ago First seen · 213 lines · 18 tokens per session scan A c2b2e8c27a8e
review-comments is a skill published in the GitHub repository matthiasn/lotti (1,171 stars, last pushed today), licensed GPL-3.0. It adds 18 tokens to every session and 2,613 once invoked, about $0.0001 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.
Other skills, from other repositories
review-pr
Review a pull request for conceptual fit, architecture impact, adversarial failure modes, security risk, docs impact, regression risk, test coverage, and merge readiness. Use when asked to review a PR, check whether a PR is safe to merge, decide if more tests are needed, perform adversarial or security review, or…
swift-focusengine-pro
Reviews, writes, and fixes focus management code for all Apple platforms (tvOS, iOS/iPadOS, watchOS, visionOS, macOS), covering SwiftUI, UIKit, AppKit, and RealityKit. Use when reading, writing, or reviewing apps that handle focus, hover, key view loops, or Digital Crown navigation.
cloudx-audit
Audit an existing CloudX SDK integration in a publisher app for correctness, staleness, lifecycle, coexistence, and privacy issues. Use when asked to check, audit, review, or validate a CloudX integration that already exists, or after upgrading the CloudX SDK version.
apple-hig-check
Audit code or design against Apple Human Interface Guidelines.
swift-concurrency-pro
Reviews Swift code for concurrency correctness, modern API usage, and common async/await pitfalls. Use when reading, writing, or reviewing Swift concurrency code.
swiftui-pro
Comprehensively reviews SwiftUI code for best practices on modern APIs, maintainability, and performance. Use when reading, writing, or reviewing SwiftUI projects.