Check if a RIG preview deployment is actually running and healthy. Verifies CI triggered, images exist, pods started, and services respond. Use when a PR deployment seems broken or after pushing code.
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Performs critical code reviews using REVIEW.md guidelines. Evaluates code quality, architecture, testing, and domain-specific concerns (legal faithfulness, cross-law references, engine safety). Use after completing significant code changes or before merging.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Performs thorough, skeptical code reviews to catch issues before they reach production.
Assume the author made mistakes. Even experienced developers:
Your job is to find these issues before they cause problems.
Read REVIEW.md from the repository root. This contains the project context,
domain-specific review dimensions, severity scale, and skip rules. These guidelines
are the primary source of truth for what to check.
# See what files changed
git diff --name-only HEAD~1
# See the full diff
git diff HEAD~1
# Or for staged changes
git diff --cached
Only review lines that were actually changed in the diff.
Do NOT comment on:
You may read the full file to understand context, but every finding you report has to point to a line that was added or modified in the diff. If a line was not changed, it is out of scope — no matter how wrong it looks.
For each changed line/block:
Questions to ask (about changed code only):
A green test is not evidence. Ask of every test in the diff: if the line this test covers were broken, would this test fail? Read the fixture against the assertion and answer it, rather than trusting the test name or its doc-comment.
The failure is almost always the same: the test tells a scenario and the fixture
does not construct the premise of that scenario, so the assertion is trivially
true. A survey of this repository found fourteen of them — a longest-prefix test
with no shorter competing article, a retain test whose only candidate was
already filtered out upstream, an assertion about a variable nothing references,
sixteen test_files entries naming files that do not exist and that nothing
reads.
Concrete forms to check:
schema/latest/schema.json and against a real file in corpus/. One unit
check here passed for months against a reader that found nothing in any real
document, because both the reader and the fixture had the field one level too
high.is_empty(), on an enum where a string carries the
behaviour, or assert!(!format!("{x:?}").contains("…")), which also passes on
Ok(..).if let or a match arm that is silently skipped
when the variant differs. Add a panic arm.CHAIN[1] while its name and comment were about CHAIN[0], and passed
because both steps declare the same requirements.When the diff fixes a bug, the review also asks: why was the existing test green? A bugfix without an answer to that question leaves the same blind spot for the next bug in the same place. The fix for the test is to construct the premise, not to add an assertion beside it.
just test
just bdd
Use the severity scale from REVIEW.md. Provide a structured report:
## Code Review: {description}
### Summary
{One paragraph summary of changes and overall assessment}
### Verdict: {APPROVE / REQUEST CHANGES / BLOCK}
{Technical justification for the verdict}
### Critical Issues
- **{Issue title}** (`file:line`)
- Problem: {What's wrong}
- Impact: {Why it matters}
- Fix: {How to fix it}
### Important Issues
- **{Issue title}** (`file:line`)
- Problem: {What's wrong}
- Impact: {Why it matters}
- Fix: {How to fix it}
### Minor Issues
- `file:line` — {Brief description}
unwrap() / panic!() on execution paths# TODO or # FIXME without ticketsregelrecht:// URIs还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Check if a RIG preview deployment is actually running and healthy. Verifies CI triggered, images exist, pods started, and services respond. Use when a PR deployment seems broken or after pushing code.
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Processes all open Dependabot PRs sequentially — rebases if needed, analyzes for breaking changes and security issues, then merges or requests changes. Use when you want to handle pending Dependabot dependency updates.
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Writing rules for the regelrecht docs site (docs/). Use when writing or editing prose under docs/ — RFCs, guides, component docs, concept pages, and the NL/EN landing copy. Keeps docs prose free of AI-generated tells and consistent with the site's government-technical register. Not for code, commit messages, or PR descriptions.
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Provides context about the regelrecht Figma design system and helps with Figma-related tasks like component lookups and design comparisons. Use this skill proactively when: implementing UI components, looking up Figma node IDs, comparing code with Figma designs, downloading Figma assets, or working with design tokens. Activate automatically when user mentions Figma, design system, component styling, or asks about RR-Components.
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Downloads Dutch official legal publications including national laws, local regulations, and implementation policies from government sources (wetten.overheid.nl, lokaleregelgeving.overheid.nl). Use this skill proactively when: user mentions downloading, fetching, or importing a Dutch law by name or BWB/CVDR identifier, when a source.regulation reference points to a law not in the corpus, or when user provides a wetten.overheid.nl URL. Activate automatically when user mentions a specific Dutch law name, BWB identifier (BWBR...), or CVDR identifier.
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Generates machine_readable execution logic for Dutch law YAML files: writes the machine_readable sections, validates against the schema, and (when a shell is available) runs the BDD suites until the model is correct. Use this skill proactively when: editing or creating machine_readable sections in law YAML files, working with corpus regulation files, or when user mentions 'generate', 'machine_readable', or wants to make a law executable. Activate automatically when user discusses law YAML files that need executable logic.
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