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 GuillemRoca/agent-skills-android --skill code-review-and-qualitygit clone --depth 1 https://github.com/GuillemRoca/agent-skills-androidWrote 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/guillemroca/agent-skills-android/code-review-and-quality)<a href="https://agentmods.dev/skills/guillemroca/agent-skills-android/code-review-and-quality"><img src="https://agentmods.dev/badge/skills/guillemroca/agent-skills-android/code-review-and-quality/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/guillemroca/agent-skills-android/code-review-and-quality"><img src="https://agentmods.dev/badge/skills/guillemroca/agent-skills-android/code-review-and-quality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00042 | $0.01539 |
| Opus 5 | $0.00021 | $0.00770 |
| Sonnet 5 | $0.00008 | $0.00308 |
| Haiku 4.5 | $0.00004 | $0.00154 |
Grade A, and why
code-review-and-quality 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review and Quality
Overview
Review code across five axes: Correctness, Readability, Architecture, Security, and Performance. The approval standard: "Approve when it definitely improves overall code health of the system." Every finding is categorized and actionable.
When to Use
- Reviewing a pull request (own or teammate's)
- Self-review before creating a PR
- Requested code quality check on a specific file or module
- After completing a feature (final quality gate)
Skip when: Not reviewing code (this is a review skill, not a writing skill).
Core Process
Step 1: Understand Context
- Read the PR description — what problem does it solve?
- Read the spec or ticket — does the PR match the stated goal?
- Check the diff size — target ~100 lines, flag >1000 lines for splitting
Step 2: Review Tests First
- Start with test files — they reveal the intended behavior
- Check for:
- Are critical paths tested?
- Are edge cases covered (null, empty, error, boundary values)?
- Do test names describe behavior?
- Are tests independent (no shared mutable state)?
Step 3: Five-Axis Review
Axis 1: Correctness
- Verify behavior matches intent:
- Does the code handle all states? (loading, success, error, empty)
- Are nulls handled safely? (no
!!, proper?.chains) - Are coroutines structured correctly? (proper scope, cancellation)
- Are lifecycle-aware collections used? (
collectAsStateWithLifecycle) - Do Room queries match the schema?
- Are migrations correct and tested?
Axis 2: Readability
- Kotlin-specific readability:
// GOOD: idiomatic Kotlin
val activeTask = tasks.firstOrNull { !it.completed }
?: return TaskListUiState.Empty
// BAD: Java-style
var activeTask: Task? = null
for (task in tasks) {
if (!task.completed) {
activeTask = task
break
}
}
if (activeTask == null) return TaskListUiState.Empty
- Check for:
- Clear naming (functions describe actions, variables describe content)
- Appropriate use of
whenexpressions,let/also/apply, extension functions - Functions under ~40 lines
- Sealed classes/interfaces for exhaustive state handling
- No nested callbacks (use coroutines)
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 · 180 lines · 42 tokens per session scan A 774f6c02fe36
code-review-and-quality is a skill published in the GitHub repository GuillemRoca/agent-skills-android (2 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 1,539 once invoked, about $0.0002 per session on Opus 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.
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