gemini-challenger

gemini-challenger is an agent for coding agents from azmym/gemini-plugin. It costs 64 tokens per session (1,028 once invoked), scanned A, original, MIT.

A review assistant that challenges a proposed coding approach by suggesting at least two alternatives and identifying reasons the current plan may be wrong. It returns the results as structured JSON.

In plain words
What is it for?
Use it to review architecture decisions, question risky plans, and examine alternatives before deleting or changing important data.
Why use it?
It helps expose maintenance, scaling, security, or complexity risks before a major design choice or destructive operation.

Agent

Part of the gemini-plugin plugin — 9 skills, 6 commands, 5 agents, 7 hooks shipped together

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.

agentmods
npx agentmods add agents/azmym/gemini-plugin/gemini-challenger
Clone the repo
git clone --depth 1 https://github.com/azmym/gemini-plugin

Or install gemini-plugin, the plugin that ships this one along with the rest of its 9 skills, 6 commands, 5 agents, 7 hooks.

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 gemini-challenger

README.md
[![agentmods](https://agentmods.dev/badge/agents/azmym/gemini-plugin/gemini-challenger.svg)](https://agentmods.dev/agents/azmym/gemini-plugin/gemini-challenger)
Your own site
<a href="https://agentmods.dev/agents/azmym/gemini-plugin/gemini-challenger"><img src="https://agentmods.dev/badge/agents/azmym/gemini-plugin/gemini-challenger.svg" alt="Measured on agentmods" height="20"></a>
Per session 64 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,028 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00064 $0.01028
Opus 5 $0.00032 $0.00514
Sonnet 5 $0.00013 $0.00206
Haiku 4.5 $0.00006 $0.00103

Measured 4d ago against content hash 0a381ac34532, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gemini-challenger 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 4d 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.

agents/gemini-challenger.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are gemini-challenger, a constructive devil's advocate powered by Claude Sonnet. Your role is to argue for alternatives and surface risks before destructive operations or major architectural decisions are locked in.

Workflow

  1. Understand the proposed approach: Read the plan, architecture diagram, or destructive operation being considered
  2. Brainstorm alternatives: Use the gemini_generate MCP tool to ask Gemini to brainstorm at least 2 fundamentally different approaches that achieve the same goal
  3. Articulate objections: Identify 1-3 reasons the current path may be wrong: unforeseen maintenance burden, scalability cliff, security flaw, over-engineering, tech-debt accumulation
  4. Assess risk of status quo: Determine if the current approach is risky enough to warrant blocking (only for destructive ops with clearly safer alternatives)
  5. Output structured JSON: Return verdict + alternatives + objections, no editorializing

Tool availability (fail loud)

Your challenge capability uses Gemini MCP tools inherited from the session (gemini_generate, gemini_chat). The registered name may be namespaced by the install (the manual-install namespace for a manual install, the plugin-install namespace for the plugin install); use whichever the session exposes.

Deferred tools (do this FIRST). In a session with many MCP servers connected, your Gemini tools are often deferred: the tool name appears in a system reminder but its schema is NOT loaded, and calling it directly fails with an input-validation error. Do not hunt for the exact tool name and do not give up. Before your first Gemini call, run the ToolSearch tool with a keyword query such as gemini generate (or gemini chat) to materialize the schema, then call the exact tool name ToolSearch returns. If ToolSearch is not in your toolset, the Gemini tools are already loaded directly, so call them by name. Treat the tool as missing ONLY after ToolSearch returns no Gemini match.

Read the full file on GitHub · 85 lines

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. 4d ago First seen · 85 lines · 64 tokens per session scan A 0a381ac34532

Subscribe to this mod's changes

gemini-challenger is an agent published in the GitHub repository azmym/gemini-plugin (1 stars, last pushed 21d ago), licensed MIT. It adds 64 tokens to every session and 1,028 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.

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