fuck-u-code is a command-line tool that examines source code for signs of poor maintainability and produces a scored report with humorous feedback. Developers use it to review code quality across multiple programming languages, either offline or with optional AI review. Its catalogue skill supports running these analyses.
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 Done-0/fuck-u-code --skill fuck-u-code-analysisgit clone --depth 1 https://github.com/Done-0/fuck-u-codeWrote 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/done-0/fuck-u-code/fuck-u-code-analysis)<a href="https://agentmods.dev/skills/done-0/fuck-u-code/fuck-u-code-analysis"><img src="https://agentmods.dev/badge/skills/done-0/fuck-u-code/fuck-u-code-analysis/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/done-0/fuck-u-code/fuck-u-code-analysis"><img src="https://agentmods.dev/badge/skills/done-0/fuck-u-code/fuck-u-code-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00114 | $0.04071 |
| Opus 5.5 | $0.00046 | $0.01628 |
| Sonnet 5.5 | $0.00023 | $0.00814 |
| Haiku 4.5 | $0.00011 | $0.00407 |
Grade A, and why
fuck-u-code-analysis 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 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.
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 — 435 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fuck-u-code Code Quality Analysis & Review
Prerequisites
Install fuck-u-code globally before using this skill:
npm install -g eff-u-code
Verify installation:
fuck-u-code --version
Requires Node.js >= 18.0.0.
Overview
Run fuck-u-code analyze to obtain quantitative code quality metrics across 7 dimensions (11 metrics), then interpret results and provide actionable refactoring recommendations based on the standards defined in this skill.
The tool produces a 0-100 overall score and per-file scores. Higher = better quality. The skill teaches you how to interpret every metric, judge severity, and prescribe specific fixes.
Workflow
digraph workflow {
rankdir=LR;
node [shape=box];
"Run fuck-u-code analyze" -> "Read JSON output";
"Read JSON output" -> "Identify critical files (score < 60)";
"Identify critical files" -> "Drill into per-metric details";
"Drill into per-metric details" -> "Apply review standards (Section 4)";
"Apply review standards" -> "Write actionable remediation report";
}
Step 1: Run Analysis
# Basic analysis
fuck-u-code analyze . -f json -o /tmp/fuc-report.json
# Verbose with top 20 worst files
fuck-u-code analyze . -v -t 20 -f json -o /tmp/fuc-report.json
# Exclude generated/test files
fuck-u-code analyze . -e "**/*.test.ts" -e "**/generated/**" -f json -o /tmp/fuc-report.json
Read the JSON output file to get structured data.
Step 2: Identify Problem Areas
From the JSON report, extract:
- overallScore: Project-wide score (0-100). Weighted average by code line count.
- aggregatedMetrics: Per-metric averages, medians, min/max across all files.
- files[]: Per-file results, sorted by score ascending (worst first).
Focus on files with score < 60 (the "shit mountain" zone).
Step 3: Drill into Metrics
For each problem file, examine the metrics[] array. Each metric has:
| Field | Meaning |
|---|---|
name |
Metric identifier (see Section 3) |
category |
Dimension group (complexity/size/duplication/structure/error/documentation/naming) |
normalizedScore |
0-100, higher = better |
severity |
info / warning / error / critical |
details |
Human-readable summary |
locations[] |
Specific line/function-level issue locations |
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 First seen · 435 lines · 114 tokens per session scan A 6a7e35cc41df
fuck-u-code-analysis is a skill published in the GitHub repository Done-0/fuck-u-code (7,305 stars, last pushed 1mo ago), licensed MIT. It adds 114 tokens to every session and 4,071 once invoked, about $0.0005 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 2026-08-30.
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