Home Assistant is open-source home automation software that lets people control devices and actions locally through a modular system. It is used by home-automation enthusiasts and DIY users, often on a Raspberry Pi or local server; the catalogue entries support operating or developing its integrations and codebase.
Borrowing it
Nothing to install: this file belongs to home-assistant/core. 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/home-assistant/core/dev/.claude/skills/ha-pr-reviewer/SKILL.mdgit clone --depth 1 https://github.com/home-assistant/coreWrote 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/home-assistant/core/ha-pr-reviewer)<a href="https://agentmods.dev/skills/home-assistant/core/ha-pr-reviewer"><img src="https://agentmods.dev/badge/skills/home-assistant/core/ha-pr-reviewer/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/home-assistant/core/ha-pr-reviewer"><img src="https://agentmods.dev/badge/skills/home-assistant/core/ha-pr-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- 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 | $0.00032 | $0.00317 |
| Opus 5.5 | $0.00013 | $0.00127 |
| Sonnet 5.5 | $0.00006 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
ha-pr-reviewer 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 7d 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
Review GitHub Pull Request
Instructions:
- Use 'gh pr view' to get the PR details and description.
- Use 'gh pr diff' to see all the changes in the PR.
- Review the changes following the
ha-reviewskill. It is VERY IMPORTANT to follow theha-reviewskill instructions. Explicitly pass the PR's target/base branch to theha-reviewskill (obtained viagh pr view) so it diffs against the correct base. - Run a subagent in parallel to check the PR review comments following the
ha-pr-comment-auditskill. - If the PR changes the behavior or interface of an entity platform integration listed in
homeassistant/generated/entity_platforms.py, it requires an approved architecture discussion (https://github.com/home-assistant/architecture/discussions) linked in the PR body:- If no discussion is linked, flag it as blocking.
- If linked, fetch it and check that it has a comment stating the approval as the marked answer. Flag it as blocking if not approved.
- Verify the implementation matches the approved proposal, including any changes or conditions stated in the approval. Flag any deviation.
- Bug fixes and internal platform refactorings are exempt from the architecture requirement.
IMPORTANT:
- Only provide review feedback in the CONSOLE. DO NOT ACT ON GITHUB.
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.
- 7d ago Changed · +5 lines 0e84e2a88d88
- 1mo ago First seen · 16 lines · 32 tokens per session scan A 6012acb6e249
ha-pr-reviewer is a skill published in the GitHub repository home-assistant/core (91,801 stars, last pushed today), licensed Apache-2.0. It adds 32 tokens to every session and 317 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 2026-08-31.
Other skills, from other repositories
iot-skills
Use when developing IoT solutions — Raspberry Pi Pico (RP2040) GPIO/I2C/Wi-Fi/MQTT/sensors in MicroPython, building low-code data flows with Node-RED, running a local-first home automation platform with Home Assistant, or compiling ESP32/ESP8266 firmware from YAML with ESPHome. Index of 4 skills: KE3036 Keyes Pico…
iot-developer
Expert in IoT development, microcontrollers, sensors, and MQTT protocols.
edge-iot
Edge computing, IoT protocols, and embedded systems integration.
code-review
Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.
code-review
Code review assistance with linting, style checking, and best practices.
issue-to-pr-resolver
Implement a GitHub issue end-to-end — create a worktree branch, implement the feature with tests, create a draft PR, then iteratively resolve all CI failures and review comments until the PR is clean. Use when you need to fully implement a GitHub issue from start to merge-ready. Triggers on "implement issue", "resolve…