
qt-qml-review
Invoke when the user asks to review, check, audit, or look over Qt6 QML code -- or suggest before committing. Runs deterministic linting (48+ rules) then deep-analysis agents (scaled to the size of the change) covering bindings, layout, loaders, delegates, states, and performance. Optionally invokes system qmllint for type-level checks. Reports only high-confidence issues (80/100) with structured mitigations. Read-only -- never modifies code.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/theqtcompanyrnd/agent-skills --skill qt-qml-review- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads qt-qml-review automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Qt QML Code Review
Read-only review of Qt6 QML code: a deterministic Python linter (with qmllint folded in when available) first, then agent-driven deep analysis across seven rule domains, then one consolidated report. Suggest it before the user commits QML code.
Scope detection
Diff scope -- "this commit", "these changes", "the diff", "what
I changed", "staged changes", "before I commit". The range is HEAD
(working tree plus index), --cached for staged changes only, or
HEAD~1..HEAD for "this commit". Do not load the diff itself: the
linter's --diff mode (Phase 1) lists the changed files with their
changed-line counts and reports only findings on changed lines.
Codebase scope -- "review the codebase", "audit src/", or an
explicit path with no commit language. Glob *.qml under the path.
Token budget rules
These rules exist to keep the review cheap. Follow them.
- Do not load the reference files into the main context. Agents
read
references/agent-rules.mdthemselves; you pass its absolute path and the section IDs. Only an inline run (Phase 2) reads it in the main context. Lint messages are self-describing; the checklist is for humans. - Pass lint results in
--summaryform (grouped by rule, paths relative to a root printed once), never the raw per-line listing or qmllint's JSON. - Point agents at content, never paste it. Every token you write
into a prompt is output on the orchestrating model, the most
expensive tokens in the review. Prompts carry paths, commands and
section IDs; the agents load the rules, the files and the diff.
In diff scope an agent gets the
git diff -U50 <range> -- <files>command instead of the hunks, and reads other files only to trace a specific symbol. - Scale the agent count to the scope (see Phase 2). Launch no agents for a small scope and split a large one into shards of about equal line count.
- Use the dedicated review agent where the tool has one. If the
qt-development-skills:qml-review-agentdefinition shipped with this plugin is available, launch the agents with it (read-only, tools limited to Read, Grep, Glob and read-only Bash); otherwise use the tool's general-purpose agent.
Execution order
Never skip a phase.
Phase 1: Linting (Python linter + qmllint)
# codebase scope
python3 <skill>/references/lint-scripts/qt_qml_lint.py --summary --qmllint <files...>
# diff scope, run inside the repository; no file arguments
python3 <skill>/references/lint-scripts/qt_qml_lint.py --summary --qmllint --diff=<range>
# fall back to `python` if python3 is not found
Python 3.7+, no dependencies. If Python is unavailable, warn and
continue (in diff scope, take the file list from
git diff --stat <range>). The linter is authoritative; do not
second-guess its output. Rule families: IMP, ORD, BND, LAY, LDR, DEL,
STA, IMG, PRF, STY, SIG, ERR, JS (48+ checks). Exit code 1 simply
means findings exist; 2 means a usage or git error.
--qmllint also runs qmllint and merges its warnings as QL:<id>
rows; add --qmllint-args="-I <dir>" for a build directory with QML
modules. The linter looks in $QT_HOST_PATH/bin, on PATH, in the
host bin directory reported by qtpaths or qmake, and in the
newest Qt 6 kit of a Qt online installer under ~/Qt, C:\Qt or
/opt/Qt (<version>/<kit>/bin, kits such as gcc_64, macos,
msvc2022_64, mingw_64). If it reports not available but Qt is
installed elsewhere (a custom installer path, or CMAKE_PREFIX_PATH
in the project's CMakeCache.txt), rerun once with
--qmllint=<that kit>/bin; it accepts the binary or its bin
directory. Do not search further. Copy the printed qmllint: status
into the report header. qmllint is authoritative for
type-level issues, the Python linter for style, ordering and
performance patterns.
Phase 2: Deep analysis (inline, or one agent per shard)
The seven sections of references/agent-rules.md are the analysis.
Agents read it themselves; read it yourself only when running inline:
| Section | Mission |
|---|---|
| A1 | Bindings & Properties |
| A2 | Layout & Anchoring |
| A3 | Component Loading & Lifecycle |
| A4 | ListView & Delegates |
| A5 | States, Transitions & Migration |
| A6 | Performance & Code Quality |
| A7 | Logic & Wiring |
Choose the fan-out from the scope size. Count the lines of the files
in scope (the changed lines in diff scope), taken from the lint
summary or wc -l. A block is about 1,500 lines; the line count
alone decides the split, never the number of files.
| Scope | Agents |
|---|---|
| Up to 1,500 lines | 0 (inline) |
| More than 1,500 lines | one per shard, ceil(lines / 1500) shards |
Inline. A small scope does not repay the cost of agents, which
each rebuild the context and roughly double the review's token cost
for the same findings. Do the analysis yourself: read
references/agent-rules.md and the files (or the diff) with the one
Bash call shown under the agent prompt below, and apply A1-A7 in a
single pass under the same rules, confidence thresholds and output
format. Do not re-report lint rows, and do not run inline above the
limit because the code looks simple. Report Agents: 0 (inline).
Shards. Cut the files, in directory order, into
n = ceil(lines / 1500) shards of about lines / n lines each; how
many files a shard holds does not matter. Keep a directory in one
shard where it fits, so that components and the files that
instantiate them land together; split a larger directory by file. A
file larger than a shard gets a shard to itself. Each shard agent applies all seven sections to its shard only and may Grep
the whole scope to trace an id or a model role. Run up to six shard
agents at a time and the rest in a second wave. Cross-shard checks
(ids, model roles) are then best effort; say so in the report
header.
Launch the agents in parallel, named after their shard (e.g. "Review shard 2/6: qml/controls"). Keep each prompt short; it contains only:
-
The absolute path of
references/agent-rules.mdand the section IDs to apply (A1-A7) -
The root directory from the lint summary, the files in scope relative to it and, in diff scope, the
git diff -U50 <range> -- <files>command for them -
The lint summary rows (including
QL:rows) for that agent's own files only (a shard agent never needs the other shards' rows), with the instruction "do not re-report these lines" -
The instruction to load everything with one Bash call before analysing, and to return findings in the format at the top of the rules file. Each tool call re-sends the agent's whole context, so one batched read instead of one Read per file is the single largest saving on large scopes. Both forms print per-file line numbers for the
file:linelocations (cat -non several files numbers them as one run, andgit diffhas no line numbers):# codebase scope cd <root> && cat <rules> && for f in <files...>; do echo "== $f"; cat -n "$f"; done # diff scope; numbers context and added lines with the new-file line cd <root> && cat <rules> && git diff -U50 <range> -- <files> | awk '/^@@/{split($3,a,/[+,]/);n=a[2];h=1;print;next} /^diff /{h=0} h&&/^[ +]/{printf "%5d %s\n",n++,$0;next} {print}'
Agents are read-only and must never edit files. In tools without agents, run each mission as whatever prompt chain or subprocess the tool supports; the contract is the same.
Phase 3: Consolidation
Merge lint and agent findings. Deduplicate on file+line+issue; when duplicates disagree on confidence, keep the block with the highest score and its trace, never average scores. Keep at most 10 investigation targets, and renumber the agents' D-/I- blocks consecutively. Findings below confidence 60 are suppressed. Write the report in the format below.
Output format
Use exactly this structure. Lint and qmllint findings are grouped by rule with one mitigation each; only deep-analysis findings get a full block, copied verbatim from the agents.
## QML Code Review Report
**Scope**: [diff: `git diff HEAD~1..HEAD` | files: <paths>]
**Files reviewed**: N
**Issues found**: N (M from lint, K from deep analysis)
**Agents**: N (shards ... | inline)
**qmllint**: [ran / not available / failed]
---
### Lint findings
| Rule | Count | Locations | Mitigation |
|---|---|---|---|
| IMP-2 Versioned import | 3 | `Main.qml:1,2`, `Panel.qml:1` | Drop the version numbers. |
| ... | | | |
---
### Deep analysis findings
<[D-NNN] blocks from the agents>
---
### Investigation targets (human verification needed)
<[I-NNN] blocks from the agents, at most 10>
---
### Summary
| Category | Lint | Deep | Investigate | Total |
|---|---|---|---|---|
| ... | N | N | N | N |
| **Total** | **M** | **K** | **I** | **N** |
Findings below confidence 60 are suppressed.
References
references/agent-rules.md-- agent missions A1-A7 and the agent output format (read by the agents, not the orchestrator)references/qt-qml-review-checklist.md-- rationale for every linter rule (human reference, not loaded during a review)references/lint-scripts/qt_qml_lint.py-- single-pass linter,--summaryfor grouped output,--diff=<range>for changed lines only,--qmllintto merge qmllint,--jsonfor tooling
Copyright (C) 2026 The Qt Company.
FAQ
What does the qt-qml-review skill do?
Invoke when the user asks to review, check, audit, or look over Qt6 QML code -- or suggest before committing. Runs deterministic linting (48+ rules) then deep-analysis agents (scaled to the size of the change) covering bindings, layout, loaders, delegates, states, and performance. Optionally invokes system qmllint for type-level checks. Reports only high-confidence issues (80/100) with structured mitigations. Read-only -- never modifies code.
How do I install qt-qml-review?
Run npx skills add https://github.com/theqtcompanyrnd/agent-skills --skill qt-qml-review in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/qt-qml-review/ (personal) or .claude/skills/qt-qml-review/ (project).
Which AI agents can use qt-qml-review?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is qt-qml-review safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains qt-qml-review?
It is published by theqtcompanyrnd in theqtcompanyrnd/agent-skills. It has 902 recorded installs.
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