Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add shalomeir/gemini-plugin-cc/plugin install geminiWrote 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/shalomeir/gemini-plugin-cc/rescue)<a href="https://agentmods.dev/commands/shalomeir/gemini-plugin-cc/rescue"><img src="https://agentmods.dev/badge/commands/shalomeir/gemini-plugin-cc/rescue.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 | $0.00050 | $0.00303 |
| Opus 5 | $0.00025 | $0.00151 |
| Sonnet 5 | $0.00010 | $0.00061 |
| Haiku 4.5 | $0.00005 | $0.00030 |
Grade A, and why
rescue 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 6d 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.
What it actually says
Use this command when you're stuck, want a second implementation pass, or need Gemini to investigate an issue independently.
Raw slash-command arguments:
$ARGUMENTS
If no prompt is provided, ask the user what they want Gemini to work on using AskUserQuestion.
Routing
Check if the arguments contain a media file reference (a path ending in .mp4, .mov, .webm, .mp3, .wav, .png, .jpg, .jpeg, .gif, .webp, .pdf).
If a media file is detected, use the media subcommand for native multimodal analysis:
timeout 300 node "${CLAUDE_PLUGIN_ROOT}/scripts/gemini-companion.mjs" media "$ARGUMENTS"
Otherwise, use the task subcommand:
node "${CLAUDE_PLUGIN_ROOT}/scripts/gemini-companion.mjs" task "$ARGUMENTS"
Return Gemini's output verbatim. After returning the result, suggest next steps based on what Gemini found.
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.
- 6d ago First seen · 33 lines · 50 tokens per session scan A bcaabc462d04
rescue is a command published in the GitHub repository shalomeir/gemini-plugin-cc (4 stars, last pushed 5mo ago), licensed MIT. It adds 50 tokens to every session and 303 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 commands, from other repositories
checklist
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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.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
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.