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.
git clone --depth 1 https://github.com/stockvalue/genspark-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/stockvalue/genspark-mcp/image)<a href="https://agentmods.dev/commands/stockvalue/genspark-mcp/image"><img src="https://agentmods.dev/badge/commands/stockvalue/genspark-mcp/image/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/stockvalue/genspark-mcp/image"><img src="https://agentmods.dev/badge/commands/stockvalue/genspark-mcp/image.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 | $0.00024 | $0.00426 |
| Opus 5.5 | $0.00010 | $0.00170 |
| Sonnet 5.5 | $0.00005 | $0.00085 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
image 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.
What it actually says
mcp__genspark-image-mcp__generate_image を使い、下の指示でGensparkのAI画像を生成してください。
- ユーザーの指示文を
promptに渡す。 - モデル、比率、解像度の明示希望だけを対応する引数に渡す。希望がなければ省略し、既定の
GPT Image 2を使う。model: 例GPT Image 2/Nano Banana Pro/Flux 2 Pro/Ideogram V3aspect_ratio: 例16:9/1:1/9:16/3:2/4:5image_size:0.5K/1K/2K/4K
include_images: trueを渡し、完了後は生成枚数・使用モデル・保存先を簡潔に報告する。not_logged_inなら、AI自身はログイン操作を行わず、利用者本人に次を実行してもらう。
パスワード、2段階認証コード、cookieを要求・表示・保存しない。cd ~/Genspark-MCP && .venv/bin/python login.pybusyなら少し待って再実行する。別のプロセスを広範囲に終了させるコマンドは実行しない。
プロンプト: $ARGUMENTS
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 · 23 lines · 24 tokens per session scan A 2bee8e2c327a
image is a command published in the GitHub repository stockvalue/genspark-mcp (3 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 426 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
send
Send a message to a running agent session. Use this to correct or direct a live agent mid-stream without killing and respawning it.
skill-refresh
You are running inside a headless Claude Code session in the neo4j-skills repository. Goal: scan Neo4j release notes and deprecation pages, then update any SKILL.md and references/ files that are stale, outdated, or missing new features. Open no PRs or commits — output only file edits. The workflow will handle git and…
generate-role
Resolve a need to a domain-expert role (existing, new leaf, or new parent) and draft it via the AUTHORING.md pipeline, opening a PR.
new-migration
Scaffold a new database migration file pair (up + down) with auto-detection of migration tool and numbering.
iterate
Iteration delivery — delivery check + archive + commit & tag + bump version.
quota-sentry
Check, configure, start, or install the local Codex quota guard.