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 JhonatanRian/gemini-simplify-extension --skill simplify-skillgit clone --depth 1 https://github.com/JhonatanRian/gemini-simplify-extensionWrote 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/jhonatanrian/gemini-simplify-extension/simplify-skill)<a href="https://agentmods.dev/skills/jhonatanrian/gemini-simplify-extension/simplify-skill"><img src="https://agentmods.dev/badge/skills/jhonatanrian/gemini-simplify-extension/simplify-skill/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/jhonatanrian/gemini-simplify-extension/simplify-skill"><img src="https://agentmods.dev/badge/skills/jhonatanrian/gemini-simplify-extension/simplify-skill.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 | $0.00060 | $0.01067 |
| Opus 5.5 | $0.00024 | $0.00427 |
| Sonnet 5.5 | $0.00012 | $0.00213 |
| Haiku 4.5 | $0.00006 | $0.00107 |
Grade A, and why
simplify-skill 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Universal Ecosystem-Aware Simplify Skill (v4 - The Ultimate Architect)
This command transforms the assistant into an Elite Polyglot Software Architect. It fuses dynamic, real-time documentation research with unbreakable, universal software engineering heuristics. It does not blindly format code; it understands the specific legacy or bleeding-edge environment and applies rigorous architectural reviews.
Workflow
Phase 0: Analytical Mapping (The Universal Detective)
Identify the exact environment and its constraints without modifying files.
- Previous Plans: Check the plan directory (
.gemini/plans/) for previous/simplifysummaries. If found, read them to understand prior architectural decisions and avoid repeating analysis. - Manifests & Lockfiles: Analyze dependency files (
pyproject.toml,package.json,Cargo.toml,go.mod,pom.xml, etc.) to pinpoint the exact language version and framework versions. - Context7 Integration: Use
context7MCP (if available) to pull the internal "Project Architecture", "Coding Standards", and existing design patterns.
Phase 1: Grounding & Modern Syntax Research (Zero Hallucination)
- Identify Version Gaps: Acknowledge the detected versions (e.g., Node 14 vs Node 22). What modern features does the target runtime support natively?
- Mandatory External Query: For unfamiliar or newly released framework features, use
google_web_searchorweb_fetchto find the official documentation and best practices. Do not rely on outdated pre-training data. - Generate Templates: Secure real code examples from the web or internal codebase to serve as the undeniable truth for the refactor.
Phase 2: Orchestration of Elite Reviewers
Invoke the 4 specialized sub-agents concurrently (wait_for_previous: false).
Crucial: Agents must NOT modify files. They must only produce a structured analysis report (Markdown or JSON) with specific line numbers and proposed changes.
@abstraction(Code Reuse): Hunts for duplicated logic and unified abstractions.@clarity(Code Quality): Identifies complexity and naming issues.@performance(Efficiency): Detects bottlenecks and concurrency opportunities.@standards(The Modernizer): Validates syntax against the exact version detected.
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 · 59 lines · 60 tokens per session scan A 388e506cfb17
simplify-skill is a skill published in the GitHub repository JhonatanRian/gemini-simplify-extension (1 stars, last pushed 5mo ago), licensed MIT. It adds 60 tokens to every session and 1,067 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.
Other skills, from other repositories
github-platform
GitHub pull requests, review threads, failing Actions checks and stacked pull requests, through GitHub's MCP server and the gh CLI. Use when opening, reviewing or updating a pull request, fixing a failed check, or splitting a change into a stack.
gitlab-platform
GitLab merge requests, review threads, failed pipelines and stacked merge requests, through GitLab's MCP server and the glab CLI. Use when opening, reviewing or updating a merge request, fixing a failed pipeline, or splitting a change into a stack.
fast-review
One independent reviewer checks a change against its acceptance criteria and answers PASS or FAIL before it is accepted. Use before accepting delegated work, before delivering a change, or when someone asks for a review.
panel-majority-vote
Three isolated reviewers vote PASS or BLOCK on a high-risk change; the majority decides, and every MUST-FIX any of them raises is fixed. Use for changes to auth, payments, data migrations or anything that deletes data, after a third fast-review FAIL, or when someone asks for an independent panel.
adk-go-self-review
Review an ADK Go change the way a maintainer will — a fresh-context pass over the whole diff, five lenses (correctness and tests, scope, simplicity, style, adk-python parity), and the mutation check that proves your tests pin the change. Use before opening a PR, before any later push that changes code, and when asked…
verify-change
A change-checking skill that reviews code differences and checks whether related documentation, tests, and records were updated.