Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cognitedata/builder-skills --skill aura-reviewgit clone --depth 1 https://github.com/cognitedata/builder-skillsWrote 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/cognitedata/builder-skills/aura-review)<a href="https://agentmods.dev/skills/cognitedata/builder-skills/aura-review"><img src="https://agentmods.dev/badge/skills/cognitedata/builder-skills/aura-review/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/cognitedata/builder-skills/aura-review"><img src="https://agentmods.dev/badge/skills/cognitedata/builder-skills/aura-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Prompt Injection · line 44 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium MCP Rug Pull · line 80 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00216 | $0.04268 |
| Opus 5.5 | $0.00086 | $0.01707 |
| Sonnet 5.5 | $0.00043 | $0.00854 |
| Haiku 4.5 | $0.00022 | $0.00427 |
Grade A, and why
aura-review 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 1mo 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.
than `curl` (curl requests to them get denied). How it starts
The opening of the file, as written. The whole thing — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aura Review
An objective, code-level audit of Aura usage in a generated app: did the app use Aura where Aura applies, and did it use the Aura components it did reach for correctly?
This skill never asks the user anything. It is designed to run unattended —
inside a CI job on a nightly schedule, or by hand — and to always finish with
a machine-readable review.json plus a human-readable markdown report.
Never run this against an app that's still being built
Only invoke this once the app is functionally complete, as a separate step
after building finishes — never while scaffolding or implementing it, and
never in the same context as the build. This isn't a linter; it's an eval of
how well a build agent reaches for Aura unprompted. A build agent that can
see this skill's grading criteria will write code to satisfy those specific
checks instead — a high score would then mean "read the answer key," not
"uses Aura well." Keep building and reviewing as separate agents with no
shared context, the way aura-eval-daily.yml runs them.
The one rule that matters more than any step below
Only flag something as wrong if it is already written down in either
DESIGN.md or the public Aura docs. If you notice something that feels wrong
but isn't documented anywhere, do not invent a rule to justify flagging it,
that isn't a fair test of an app built against documentation that never
mentioned the rule. Instead, note it as a suggestion for the docs and move
on. This matters because these reports get used to tell people "Aura says
you did X wrong" — that claim has to be traceable to something they could
have read.
Likewise, when judging whether a custom component "could have been Aura",
only say so when you can point at a specific Use when bullet for a named
Aura component that matches — otherwise mark it undecided rather than guess.
Sources of truth (v1, Storybook is deliberately out of scope for now)
| Source | Location | Use it for |
|---|---|---|
DESIGN.md |
<app-dir>/node_modules/@cognite/aura/DESIGN.md |
Tokens, per-component "Use when" / "Use something else when" / "Dos and don'ts" / "Behavior", layout patterns |
| Aura docs site | https://docs.cognite.com/aura-design-system | Foundations (tokens, accessibility, design heuristics) and per-component Primitives pages for anything DESIGN.md doesn't cover — DESIGN.md's own "Docs reference" links here per component |
| Flows community components site | https://cognitedata.github.io/flows-community-components/ | Aura's public shadcn-style component registry and docs site — use for components or usage guidance not shipped in DESIGN.md |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed · +95 lines · +79 tokens per session 7286e20f569c
- 2mo ago First seen · 245 lines · 137 tokens per session scan A 8b1c3c2c7340
aura-review is a skill published in the GitHub repository cognitedata/builder-skills (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 216 tokens to every session and 4,268 once invoked, about $0.0009 per session on Opus 5.5. 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 2026-09-05.
aura-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aura-reviewcognitedata/builder-skills | Skill | 6 | yesterday | Apache-2.0 | A | 216 | Claude Code |
| critique-theaternexu-io/open-design | Skill | 106k | today | Apache-2.0 | A | 35 | Claude Code, Codex |
| design-reviewPrismer-AI/PrismerCloud | Skill | 1.4k | 16d ago | MIT | A | 84 | Claude Code |
| nw-fp-usable-designnWave-ai/nWave | Skill | 631 | yesterday | MIT | A | 20 | Claude Code |
| cinematic-shotdzhng/skills | Skill | 1.4k | 2d ago | MIT | A | 127 | Claude Code, Codex |
| compare-screenshotsdzhng/skills | Skill | 1.4k | 2d ago | MIT | A | 51 | Claude Code, Codex |
| design-with-imagesdzhng/skills | Skill | 1.4k | 2d ago | MIT | A | 55 | Claude Code, Codex |