Blockrun
BlockRunAI/blockrun-mcp
Pay-per-call access to AI models, real-time data, media generation and multi-chain RPC over x402 micropayments (USDC on Base or Solana), or a BlockRun account API key.
“USE FOR Google-backed image discovery via Serper.dev. Returns image URLs, page URLs, titles, and source domains.”
Install Serper Image Search
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-image -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-search-image --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sn-search-image .claude/skills/sn-search-image && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "sn-search-image" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-image into .claude/skills/sn-search-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-search-image", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-imageType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-image -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-search-image --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sn-search-image .agents/skills/sn-search-image && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sn-search-image" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-image into .agents/skills/sn-search-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-search-image", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-image -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-search-image --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sn-search-image .cursor/skills/sn-search-image && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sn-search-image" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-image into .cursor/skills/sn-search-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-search-image", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OpenSenseNova/SenseNova-Skills.git --path skills/sn-search-image--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-image -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-search-image --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sn-search-image .gemini/skills/sn-search-image && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sn-search-image" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-image into .gemini/skills/sn-search-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-search-image", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-search-imageInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-image -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sn-search-image .github/skills/sn-search-image && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sn-search-image" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-image into .github/skills/sn-search-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-search-image", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-image -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-search-image --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sn-search-image .opencode/skills/sn-search-image && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sn-search-image" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-image into .opencode/skills/sn-search-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-search-image", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
sn-search-image- GitHub stars
- 5.7k
- Token cost
- ~319 tokens
- SKILL.md length
- 79 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
- SKILL.md covers Commands and Important
- Runs Python scripts from its folder; calls python3 and python
About this skill
Serper Image Search is a skill in OpenSenseNova/SenseNova-Skills (5.7k stars). Its SKILL.md is about 319 tokens, with 2 other files in the folder (scripts). Licence: MIT.
What it can do on your machine
Read from SKILL.md and the folder at commit 7838651. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Serper Image Search loads about 319 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 79 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from OpenSenseNova/SenseNova-Skills at commit 7838651, republished under its MIT licence (© OpenSenseNova). 79 words, ~319 tokens.
Download SKILL.mdSave it as
.claude/skills/sn-search-image/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- sn-search-image
- description
- USE FOR Google-backed image discovery via Serper.dev. Returns image URLs, page URLs, titles, and source domains.
Serper Image Search
Use this skill to search for candidate images via Serper.dev.
Commands
Standard image search:
python3 {baseDir}/scripts/serper_image_search.py "QUERY" --num 10Image URLs only:
python3 {baseDir}/scripts/serper_image_search.py "QUERY" --num 10 --image-urls-only --limit 5Page URLs only:
python3 {baseDir}/scripts/serper_image_search.py "QUERY" --num 10 --page-urls-only --limit 5Raw JSON:
python3 {baseDir}/scripts/serper_image_search.py "QUERY" --num 10 --jsonSave raw JSON to a file for later inspection:
python3 {baseDir}/scripts/serper_image_search.py "QUERY" --num 10 --save-json /tmp/serper-images.jsonImportant
- This skill only performs image search and returns candidate result metadata.
- Run the command directly as shown above.
- Do not wrap it with
cd, shell pipes,python -c, here-docs, or output redirection tricks. - Use
--gland--hlwhen you need country or language bias.
© OpenSenseNova, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts) in skills/sn-search-image of OpenSenseNova/SenseNova-Skills.
- SKILL.md
- requirements.txt
- scripts/serper_image_search.py
Open the folder on GitHubat commit 7838651
Compare with similar skills
Serper Image Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Serper Image Search this skillOpenSenseNova/SenseNova-Skills | 5.7k | — | ~319 | Automated safety check: Pass | MIT | |
| BlockrunBlockRunAI/blockrun-mcp | 391 | — | ~2.7k | Automated safety check: Pass | MIT | |
| Seedreamfreestylefly/wesight | 946 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Favicon Generatorkostja94/marketing-skills | 1k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Mmx CLIagentscope-ai/OpenJudge | 871 | — | ~655 | Automated safety check: Pass | Apache-2.0 | |
| Blog Cover GeneratorVarnan-Tech/opendirectory | 674 | — | ~1k | Automated safety check: Pass | MIT |
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Categories
Questions about Serper Image Search
How do I install Serper Image Search in Claude Code?
Run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-image -a claude-code`. Or copy the skill folder (skills/sn-search-image in OpenSenseNova/SenseNova-Skills) into .claude/skills/sn-search-image in your project. Claude Code loads it when a task matches its description.
How do I install Serper Image Search in Codex?
Run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-image -a codex`. Or copy the skill folder (skills/sn-search-image in OpenSenseNova/SenseNova-Skills) into .agents/skills/sn-search-image in your project. Codex loads it when a task matches its description.
Can I use Serper Image Search in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sn-search-image, .gemini/skills/sn-search-image, .github/skills/sn-search-image and .opencode/skills/sn-search-image in your project.
What does Serper Image Search need to run?
Going by SKILL.md and its folder, Serper Image Search needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and python).
Does Serper Image Search access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Serper Image Search safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Serper Image Search use?
Serper Image Search is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Serper Image Search use?
About 319 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Serper Image Search?
Skills that share tags, products or a category with Serper Image Search: Blockrun (BlockRunAI/blockrun-mcp, 391 stars), Seedream (freestylefly/wesight, 946 stars), Favicon Generator (kostja94/marketing-skills, 1k stars) and Mmx CLI (agentscope-ai/OpenJudge, 871 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Serper Image Search?
OpenSenseNova (a GitHub organization) maintains it in OpenSenseNova/SenseNova-Skills, which has 5,749 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 9, 2026.
Source: OpenSenseNova/SenseNova-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.