Borrowing it
Nothing to install: this file belongs to akiojin/unity-editor-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/akiojin/unity-editor-mcp/main/.claude/commands/discuss-with-gemini.mdgit clone --depth 1 https://github.com/akiojin/unity-editor-mcpWrote 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/commands/akiojin/unity-editor-mcp/discuss-with-gemini)<a href="https://agentmods.dev/commands/akiojin/unity-editor-mcp/discuss-with-gemini"><img src="https://agentmods.dev/badge/commands/akiojin/unity-editor-mcp/discuss-with-gemini/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/commands/akiojin/unity-editor-mcp/discuss-with-gemini"><img src="https://agentmods.dev/badge/commands/akiojin/unity-editor-mcp/discuss-with-gemini.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 | $0.00000 | $0.00741 |
| Opus 5 | $0.00000 | $0.00370 |
| Sonnet 5 | $0.00000 | $0.00148 |
| Haiku 4.5 | $0.00000 | $0.00074 |
Grade A, and why
discuss-with-gemini 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 8d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
discuss-with-gemini
Use Gemini CLI to conduct in-depth discussions about current work, enhancing Claude Code's accuracy through multi-perspective analysis and iterative refinement.
Prerequisites
Before using this command, ensure:
- Gemini CLI is installed (
geminicommand available) - Authenticated via
gcloud auth application-default login
Execution Steps
-
Gather Current Context First, I'll collect information about your current work:
# Check Git status and recent changes !git status --porcelain !git diff --cached !git diff !git log --oneline -10 -
Prepare Discussion Topics Based on the context, I'll prepare discussion points covering:
- Architecture and design patterns
- Performance and scalability
- Maintainability and code quality
- Security considerations
- Best practices alignment
-
Initiate Gemini Discussion I'll create a comprehensive prompt and start the discussion:
# Create temporary file with context and questions !echo "[Discussion prompt will be here]" > /tmp/gemini_discussion.md # Start interactive discussion with Gemini !gemini -p < /tmp/gemini_discussion.md -
Iterative Refinement Based on Gemini's initial response, I'll:
- Identify areas needing deeper analysis
- Formulate follow-up questions
- Continue the discussion for 3-5 rounds
Each round will explore:
- Alternative approaches and trade-offs
- Implementation specifics with code examples
- Potential risks and edge cases
- Priority recommendations
-
Generate Action Plan After the discussion rounds, I'll synthesize an actionable plan:
- Immediate implementation items (High priority)
- Short-term improvements (Medium priority)
- Long-term considerations (Low priority)
- Implementation guidelines and anti-patterns to avoid
-
Save Discussion Log The complete discussion will be saved for future reference:
# Create discussion log directory if needed !mkdir -p .claude/discussion_logs # Save timestamped log !echo "[Discussion content]" > .claude/discussion_logs/gemini_discussion_$(date +%Y%m%d_%H%M%S).md
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.
- 8d ago First seen · 110 lines · 0 tokens per session scan A 2e49dfb3e1cc
discuss-with-gemini is a command published in the GitHub repository akiojin/unity-editor-mcp (11 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 741 tokens. 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.