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 commands/pleaseai/claude-code-plugins/convert-gemini-extensiongit clone --depth 1 https://github.com/pleaseai/claude-code-pluginsWhat 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 | $0.00009 | $0.00845 |
| Opus 5 | $0.00005 | $0.00423 |
| Sonnet 5 | $0.00002 | $0.00169 |
| Haiku 4.5 | $0.00001 | $0.00085 |
Grade A, and why
convert-gemini-extension 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 2d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are tasked with converting a Gemini extension to Claude Code plugin format. Follow these steps precisely:
Input
The user will provide a path to a Gemini extension directory containing gemini-extension.json.
Path to convert: $ARGUMENTS
Conversion Steps
1. Validate Input
- Check if the provided path exists and contains
gemini-extension.json - If not found, ask the user for the correct path
2. Read Gemini Extension Configuration
- Read the
gemini-extension.jsonfile - Extract: name, description, version, mcpServers configuration
3. Create Plugin Directory Structure
- Create
.claude-plugindirectory in the extension path - Create
commandsdirectory if it doesn't exist (it should already exist for extensions with commands)
4. Generate plugin.json
Create .claude-plugin/plugin.json with the following structure:
{
"name": "<name from gemini-extension.json>",
"version": "<version from gemini-extension.json>",
"description": "<description from gemini-extension.json>",
"commands": ["./commands"],
"mcpServers": <copy mcpServers object from gemini-extension.json>
}
5. Convert Command Files (TOML to Markdown)
For each .toml file in the commands/ directory:
- Read the TOML file
- Extract
descriptionandpromptfields - Create a new
.mdfile with the same base name - Format as:
--- description: <description from TOML> --- <prompt from TOML with {{args}} replaced by $ARGUMENTS> - IMPORTANT: Replace all instances of
{{args}}with$ARGUMENTSin the prompt - Keep the original TOML file (don't delete it) for reference
6. Update Marketplace Configuration
- Read
.claude-plugin/marketplace.jsonat the repository root - Add a new entry to the
pluginsarray if not already present:{ "name": "<plugin name>", "description": "<plugin description>", "source": { "source": "github", "repo": "pleaseai/<plugin-name>" } } - If the plugin already exists in marketplace.json, update its description
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.
- 2d ago First seen · 113 lines · 9 tokens per session scan A 92d3398fce3e
convert-gemini-extension is a command published in the GitHub repository pleaseai/claude-code-plugins (13 stars, last pushed 7d ago), licensed MIT. It adds 9 tokens to every session and 845 once invoked, about $0.0000 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 2026-08-30.
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