Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Ibook000/ibook-skillnpx agentmods add skills/ibook000/ibook-skill/image-wellWrote 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/ibook000/ibook-skill/image-well)<a href="https://agentmods.dev/skills/ibook000/ibook-skill/image-well"><img src="https://agentmods.dev/badge/skills/ibook000/ibook-skill/image-well.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 | $0.00099 | $0.01047 |
| Opus 5 | $0.00049 | $0.00524 |
| Sonnet 5 | $0.00020 | $0.00209 |
| Haiku 4.5 | $0.00010 | $0.00105 |
Grade A, and why
image-well 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Well
Search and download images from 12 sources through a single CLI. Four sources work with zero API keys (Openverse, Wikimedia, Met Museum, NASA). Additional sources activate when keys are set.
Quick Start
# Search across all no-key sources
uv run ~/.claude/skills/image-well/scripts/well.py search "ancient Minoan fresco"
# Use a preset for domain-specific searches
uv run ~/.claude/skills/image-well/scripts/well.py search "F-35 fighter jet" --preset military
# Download results with metadata sidecars
uv run ~/.claude/skills/image-well/scripts/well.py search "sunset" --format download --output ./images/
# Check which sources are available
uv run ~/.claude/skills/image-well/scripts/well.py sources
# Visual HTML preview — opens in browser, no context pollution
uv run ~/.claude/skills/image-well/scripts/well.py search "bronze statue" --format html
# Output as JSON for piping
uv run ~/.claude/skills/image-well/scripts/well.py search "cat" --format json
Sources
| Tier | Source | Key Required | License |
|---|---|---|---|
| 1 | Openverse (800M+) | No | CC variants |
| 1 | Wikimedia Commons | No | CC variants |
| 1 | Met Museum (375k) | No | CC0 |
| 1 | NASA (140k) | No | Public Domain |
| 2 | Pexels | PEXELS_API_KEY |
Pexels License |
| 2 | Pixabay | PIXABAY_API_KEY |
Pixabay License |
| 2 | Rijksmuseum (700k) | RIJKSMUSEUM_API_KEY |
CC0 |
| 2 | Unsplash | UNSPLASH_ACCESS_KEY |
Unsplash License |
| 3 | Smithsonian | No | CC0 |
| 3 | Europeana (50M+) | EUROPEANA_API_KEY |
Mixed |
| 3 | Iconify (275k icons) | No | Various |
| 3 | Pollinations AI | No | Free Use (AI gen) |
Add Tier 2 keys to ~/.config/env/secrets.env for expanded coverage.
Presets
| Preset | Sources | Use Case |
|---|---|---|
military |
nasa, wikimedia, smithsonian | Defense/military imagery |
museum |
met, rijksmuseum, smithsonian | Art, antiquities, historical |
texture |
wikimedia, pollinations | Game dev, 3D materials |
stock |
pexels, pixabay, unsplash | Editorial photography |
all-free |
openverse, wikimedia, met, nasa, smithsonian | All no-key sources |
What ships with it
17 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.
- README.md 8.5 KB
- scripts/_well_utils.py 26 KB runs code
- scripts/sources/__init__.py 2.3 KB runs code
- scripts/sources/base.py 1.8 KB runs code
- scripts/sources/europeana.py 3.3 KB runs code
- scripts/sources/iconify.py 2.3 KB runs code
- scripts/sources/met_museum.py 3.7 KB runs code
- scripts/sources/nasa.py 3.0 KB runs code
- scripts/sources/openverse.py 2.8 KB runs code
- scripts/sources/pexels.py 2.2 KB runs code
- scripts/sources/pixabay.py 2.3 KB runs code
- scripts/sources/pollinations.py 2.2 KB runs code
- scripts/sources/rijksmuseum.py 2.5 KB runs code
- scripts/sources/smithsonian.py 5.1 KB runs code
- scripts/sources/unsplash.py 2.6 KB runs code
- scripts/sources/wikimedia.py 2.9 KB runs code
- scripts/well.py 11 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 · 105 lines · 99 tokens per session scan A 0cf14ddde79d
image-well is a skill published in the GitHub repository Ibook000/ibook-skill (2 stars, last pushed 7d ago), licensed MIT. It adds 99 tokens to every session and 1,047 once invoked, about $0.0005 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.
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