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 perasyudha/Nyxora --skill simplify-codegit clone --depth 1 https://github.com/perasyudha/NyxoraWrote 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/perasyudha/nyxora/simplify-code)<a href="https://agentmods.dev/skills/perasyudha/nyxora/simplify-code"><img src="https://agentmods.dev/badge/skills/perasyudha/nyxora/simplify-code.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.02540 |
| Opus 5 | $0.00007 | $0.01270 |
| Sonnet 5 | $0.00003 | $0.00508 |
| Haiku 4.5 | $0.00001 | $0.00254 |
Grade A, and why
simplify-code 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 3d 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.
This is a copy
92% identical to simplify-code — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Simplify Code — Parallel Review & Cleanup
Review your recent code changes with three focused reviewers running in parallel, aggregate their findings, and apply the fixes worth applying.
Core principle: Three narrow reviewers beat one broad reviewer. Each one deeply searches the codebase for a single class of problem — reuse, quality, efficiency — without diluting its attention across all three. They run concurrently, so you pay the latency of one review, not three.
When to Use
Trigger this skill when the user says any of:
- "simplify" / "simplify my changes" / "simplify these changes"
- "review my code" / "review my recent changes" / "clean up my changes"
- "/simplify" (if they're carrying the Claude Code habit over)
Optional modifiers the user may add — honor them:
- Focus: "simplify focus on efficiency" → run only the efficiency reviewer
(or weight the aggregation toward it). Recognized focuses:
reuse,quality,efficiency. - Dry run: "simplify but don't change anything" / "just report" → run the three reviewers, present findings, apply NOTHING. Ask before applying.
- Scope: "simplify the last commit" / "simplify staged" / "simplify src/foo.py" → narrow the diff source accordingly (see Phase 1).
Do NOT auto-run this after every edit. It costs three subagents' worth of tokens — invoke it only when the user explicitly asks.
The Process
Phase 1 — Identify the changes
Capture the diff to review. Pick the source by what the user asked for, in this default order:
# 1. Default: uncommitted working-tree changes (tracked files)
git diff
# 2. If that's empty, include staged changes
git diff HEAD
# 3. Scoped variants the user may request:
git diff --staged # "staged changes"
git diff HEAD~1 # "the last commit"
git diff main...HEAD # "this branch" / "my PR"
git diff -- src/foo.py # specific file(s)
If git diff and git diff HEAD are both empty and there's no git repo or no
changes, fall back to the files the user explicitly named or that were
recently created/edited in this session. If you genuinely can't find any
changed code, say so and stop — there's nothing to simplify.
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.
- 3d ago First seen · 213 lines · 14 tokens per session scan A 33cf2ea183d9
simplify-code is a skill published in the GitHub repository perasyudha/Nyxora (5 stars, last pushed 7d ago), licensed MIT. It adds 14 tokens to every session and 2,540 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to simplify-code, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
design-smell-review
Lightweight design smell review for modules and APIs—coupling, cohesion, naming, boundaries, and unnecessary complexity. Use before large refactors or when code feels hard to change. Complements gstack/review (diff-focused).
github-comment-triage
Triage and address GitHub PR review comments systematically—classify, respond, fix or defer with rationale. Use when a PR has review feedback, requested changes, or unresolved threads.
skill-static-review
A checklist-based review skill for inspecting an agent skill's files, instructions, dependencies, and expected outputs before release. It produces a structured quality report rather than running the skill.
github-maintainer
Use this when the user wants maintainer-grade judgment over a GitHub project queue. The goal is not just to list issues or pull requests; it is to decide what each item means, what evidence exists, what is risky, and what should happen next.
code-simplification
Simplify working code while preserving behavior—remove dead paths, flatten nesting, clarify names, reduce duplication. Use after features work but code feels over-engineered.
doubt-driven-review
Adversarial fresh-context review for non-trivial decisions before they stand. Use for production-impacting logic, security-sensitive changes, unfamiliar code, or high-blast-radius architecture choices.