code-review-files

code-review-files is a skill for Claude Code, Codex from leenspace/contextur. It costs 59 tokens per session (429 once invoked), scanned A, original, MIT.

A skill for reviewing files attached by a developer, with an emphasis on Flutter and SuperApp Retail project standards. It produces a structured review covering bugs, architecture, code quality, compliance, and positive notes.

In plain words
What is it for?
Use it when a developer attaches or pastes code and asks for a review, bug check, architecture check, or best-practice analysis.
Why use it?
It gives attached-file reviews the same review process as the project’s pull-request checks and avoids making the main agent repeat the review logic.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it when a developer attaches or pastes code and asks for a review, bug check, architecture check, or best-practice analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leenspace/contextur/code-review-files
Install

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.

Any agent
npx skills add leenspace/contextur --skill code-review-files
Clone the repo
git clone --depth 1 https://github.com/leenspace/contextur

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for code-review-files

README.md
[![agentmods](https://agentmods.dev/badge/skills/leenspace/contextur/code-review-files/github.svg)](https://agentmods.dev/skills/leenspace/contextur/code-review-files)
Your own site
<a href="https://agentmods.dev/skills/leenspace/contextur/code-review-files"><img src="https://agentmods.dev/badge/skills/leenspace/contextur/code-review-files/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.

agentmods 80×15 button for code-review-files

Your own site · 80×15
<a href="https://agentmods.dev/skills/leenspace/contextur/code-review-files"><img src="https://agentmods.dev/badge/skills/leenspace/contextur/code-review-files.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 429 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00059 $0.00429
Opus 5.5 $0.00024 $0.00172
Sonnet 5.5 $0.00012 $0.00086
Haiku 4.5 $0.00006 $0.00043

Measured 2mo ago against content hash ae4e622a3408, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

code-review-files 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 2mo 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.

docs/reference/skills/code-review-files/SKILL.md · 28 lines

What it actually says

Expert Code Review (Attached Files)

When the user attaches one or more files (or pastes code) and asks for review, analysis, or feedback on bugs/practices/architecture, delegate to the code-quality-reviewer subagent (.cursor/agents/code-quality-reviewer.md).

What to do

  1. Identify the code to review: Use the file(s) the user attached or the code they pasted. If they asked for review but did not attach or paste anything, ask them to attach the specific file(s) they want reviewed.
  2. Delegate to the subagent: Invoke the code-quality-reviewer subagent and pass the contents of the attached/pasted file(s) as the input. The subagent applies the full Flutter and SuperApp Retail review (bugs, architecture, best practices) and returns the structured report (Summary, Critical, Suggestions, Nice to have, Project compliance, Positive notes).
  3. Present the result: Show the user the subagent’s review output as-is.

Why delegate

The same review logic and output format live in the code-quality-reviewer subagent. That subagent is also used by the agent-review flow (git diff vs develop). Keeping one implementation in the subagent means:

  • Attached-file reviews and PR-style (diff) reviews use the same standard.
  • Updates to the review methodology are done in one place (the subagent).

Reference

Files

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.

Changes

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.

  1. 2mo ago First seen · 28 lines · 59 tokens per session scan A ae4e622a3408

Subscribe to this mod's changes

code-review-files is a skill published in the GitHub repository leenspace/contextur (7 stars, last pushed 4mo ago), licensed MIT. It adds 59 tokens to every session and 429 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

autoreview

Structured code review through the shared OpenClaw agent-skills installation.

openclaw/clawhub · 17 tokens

omh-code-review

This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

rlaope/oh-my-hermes · 48 tokens

revdiff-plan

Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…

umputun/revdiff · 84 tokens

explore-unknowns

Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…

dzhng/skills · 162 tokens

re0-merge

Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…

LilMGenius/paperthin · 70 tokens

asplos-writing-style

Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…

brycewang-stanford/Awesome-Journal-Skills · 65 tokens