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 skills add glebis/claude-skills --skill google-image-searchgit clone --depth 1 https://github.com/glebis/claude-skillsWrote 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/glebis/claude-skills/google-image-search)<a href="https://agentmods.dev/skills/glebis/claude-skills/google-image-search"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/google-image-search/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/glebis/claude-skills/google-image-search"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/google-image-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Rogue Agent · line 57 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00072 | $0.01196 |
| Opus 5 | $0.00036 | $0.00598 |
| Sonnet 5 | $0.00014 | $0.00239 |
| Haiku 4.5 | $0.00007 | $0.00120 |
Grade A, and why
google-image-search 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 7d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Image Search Skill
Search for images using Google Custom Search API with intelligent scoring and LLM-based selection.
When to Use
- Finding images to illustrate technical articles or research
- Adding visuals to presentations
- Enriching Obsidian notes with relevant images
- Batch image search for multiple topics
- Generating image search configs from plain text lists
Requirements
- Google Custom Search API key and Search Engine ID
- OpenRouter API key (for LLM selection)
- llm CLI installed at
/opt/homebrew/bin/llm
Store credentials in .env:
Google-Custom-Search-JSON-API-KEY=your_key
Google-Custom-Search-CX=your_cx
OPENROUTER_API_KEY=your_openrouter_key
Modes of Operation
1. Simple Query
Search for a single term:
python3 ~/.claude/skills/google-image-search/scripts/google_image_search.py \
--query "neural interface wearable device" \
--output-dir ./images \
--num-results 5
2. Batch Processing
Process multiple queries from JSON config:
python3 ~/.claude/skills/google-image-search/scripts/google_image_search.py \
--config image_queries.json \
--output-dir ./images \
--llm-select
3. Generate Config from Terms
Create JSON config from a list of terms using LLM:
python3 ~/.claude/skills/google-image-search/scripts/google_image_search.py \
--generate-config \
--terms "AlterEgo wearable" "sEMG electrodes" "BCI headset" \
--output my_queries.json
4. Enrich Obsidian Note
Extract visual terms from note, find images, and insert below headings:
python3 ~/.claude/skills/google-image-search/scripts/google_image_search.py \
--enrich-note ~/Brains/brain/Research/neural-interfaces.md
This mode:
- Detects Obsidian vault and attachments folder
- Uses LLM to extract visual-worthy terms from note
- Searches for images for each term
- Downloads best images to attachments folder
- Inserts image embeds below relevant headings
- Creates backup before modifying note
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .claude-plugin/plugin.json 301 B
- references/api_config_reference.md 3.8 KB
- scripts/api.py 3.8 KB runs code
- scripts/config.py 4.1 KB runs code
- scripts/download.py 5.1 KB runs code
- scripts/evaluate.py 3.8 KB runs code
- scripts/google_image_search.py 14 KB runs code
- scripts/llm_select.py 11 KB runs code
- scripts/obsidian.py 8.3 KB runs code
- scripts/output.py 7.8 KB runs code
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.
- 7d ago First seen · 160 lines · 72 tokens per session scan A 08d43b6bcf96
google-image-search is a skill published in the GitHub repository glebis/claude-skills (374 stars, last pushed 8d ago), licensed MIT. It adds 72 tokens to every session and 1,196 once invoked, about $0.0004 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 2026-09-03.
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