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 agentmods add skills/jhonatanrian/gemini-simplify-extension/simplify-skillnpx 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.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 | $0.00060 | $0.01067 |
| Opus 5 | $0.00030 | $0.00534 |
| Sonnet 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 5d 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.
- 5d 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 4mo ago), licensed MIT. It adds 60 tokens to every session and 1,067 once invoked, about $0.0003 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.
Other skills, from other repositories
red-team-review
Unified adversarial review: v4.3 Strategic Matrix (MTA-004). 7-phase framework: Priors → Rubric → Adversarial Lenses → SWOT/TOWS → MCDA Decision Engine → Blind Spot/Kill Switch → Executive Summary. Absorbs: bias-detector.
decision-journal
Unified decision lifecycle: Pre-decision logging, post-decision review, failure classification, and calibration tracking. Absorbs: post-mortem-engine.
code-review-github
GitHub PR workflow orchestration for code review — list PRs, post comments, apply labels, and guarded auto-merge.
security-review
AI-powered security analysis of code changes — traces data flow, detects injection, auth bypass, secrets exposure, and unsafe deserialization across files. Use when reviewing pending changes, before release-branch, during verify-work Phase 5, during build-epic Step 0 threat modeling, or when the user says "security…
audit-code
Self-review checklist for the coding agent to run before dispatching a reviewer. Checks CONVENTIONS.md compliance, Boy Scout Rule, test coverage, types, and SOLID. Produces a pass/fail checklist. Use before request-review, before committing, or when user asks for a code quality check.
commit-message
Reviews working-tree changes, then drafts a Conventional Commits title/body and states the semantic-release version bump a single such commit would imply. Also notes which defensive-code categories were touched. Use when the user wants to commit recent work, prepare a Conventional Commits message, or asks for…