Borrowing it
Nothing to install: this file belongs to gpt-cmdr/ras-commander. 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/gpt-cmdr/ras-commander/main/.claude/skills/dev_invoke_gemini-cli/SKILL.mdgit clone --depth 1 https://github.com/gpt-cmdr/ras-commanderWrote 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/gpt-cmdr/ras-commander/dev_invoke_gemini-cli)<a href="https://agentmods.dev/skills/gpt-cmdr/ras-commander/dev_invoke_gemini-cli"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/dev_invoke_gemini-cli/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/skills/gpt-cmdr/ras-commander/dev_invoke_gemini-cli"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/dev_invoke_gemini-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Excessive Agency · line 73 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- medium Excessive Agency · line 86 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00145 | $0.01925 |
| Opus 5.5 | $0.00058 | $0.00770 |
| Sonnet 5.5 | $0.00029 | $0.00385 |
| Haiku 4.5 | $0.00015 | $0.00193 |
Grade A, and why
dev_invoke_gemini-cli 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 1mo 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 — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Invoking Gemini CLI
Legacy Claude-only orchestration skill. This is not part of the standard production harness policy. It is excluded from the shared multi-harness corpus and should be used only when the user explicitly requests Gemini.
When the user explicitly requests Gemini, delegate the requested review or analysis task to Gemini CLI using markdown files for input and output. Write review criteria to REVIEW.md, invoke Gemini, then read FINDINGS.md for results.
Pattern: Markdown File Handoff
Claude Code Gemini CLI
| |
+-- Write REVIEW.md ----------------+
| (code + review criteria) |
| |
+-- Execute: gemini -y "Read |
| REVIEW.md, analyze, write |
| findings to FINDINGS.md" |
| |
| +-- Reads REVIEW.md
| +-- Analyzes content
| +-- Writes FINDINGS.md
| |
+-- Read FINDINGS.md <--------------+
| (analysis + recommendations) |
v v
Benefits:
- Eliminates shell escaping issues
- Keeps context structured in reviewable files
- Enforces explicit output structure
- Supports session resume
Model Selection
| Model | Use Case | Status |
|---|---|---|
gemini-3-pro-preview |
Default. Strong reasoning | CLI default |
gemini-3-flash-preview |
Large context, fast analysis | For big codebases |
Recommendation: Use default gemini-3-pro-preview for most tasks. Switch to gemini-3-flash-preview for very large context (>100K tokens) via -m flag.
Note: If you encounter 429 capacity errors with gemini-3-pro-preview, retry or wait briefly.
Invocation
Standard Pattern Within This Legacy Skill
cd /path/to/project && gemini -y "Read REVIEW.md in the current directory. Follow the review criteria. Write all findings to FINDINGS.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.
- 1mo ago First seen · 295 lines · 145 tokens per session scan A b21b88ee8d9d
dev_invoke_gemini-cli is a skill published in the GitHub repository gpt-cmdr/ras-commander (88 stars, last pushed today), licensed MIT. It adds 145 tokens to every session and 1,925 once invoked, about $0.0006 per session on Opus 5.5. 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.
Other skills, from other repositories
autoreview
Structured code review through the shared OpenClaw agent-skills installation.
omh-code-review
This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
explore-unknowns
Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…
re0-merge
Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…
asplos-writing-style
Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…