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 jqaisystems/jqai-ai-skills --skill remove-ai-image-metadatagit clone --depth 1 https://github.com/jqaisystems/jqai-ai-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/jqaisystems/jqai-ai-skills/remove-ai-image-metadata)<a href="https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/remove-ai-image-metadata"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/remove-ai-image-metadata/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/jqaisystems/jqai-ai-skills/remove-ai-image-metadata"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/remove-ai-image-metadata.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 | $0.00109 | $0.01009 |
| Opus 5.5 | $0.00044 | $0.00404 |
| Sonnet 5.5 | $0.00022 | $0.00202 |
| Haiku 4.5 | $0.00011 | $0.00101 |
Grade A, and why
remove-ai-image-metadata 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 12d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remove AI Image Metadata
Remove explicit embedded AI provenance or generator metadata using a format-aware workflow. Preserve encoded image content and rendering data whenever possible.
Workflow
-
Resolve the exact files or folder in scope and identify each real file format from its contents.
-
Inspect before writing. For PNG, JPEG/JPG, WebP, and GIF, use the bundled cleaner without a write option:
python "<skill-folder>\scripts\clean_image_metadata.py" "<file-or-folder>" --recursive -
Review every proposed removal. Default mode removes supported C2PA/Content Credentials blocks and metadata fields that contain known AI-generator markers. JPEG JUMBF requires a metadata-aware editor because a segment can contain unrelated or split records. Standard JPEG, WebP, and PNG iTXt XMP uses field-level edits, preserving unrelated sibling attributes and records. Photoshop support is limited to parsed Unicode text fields in descriptor-free version 6 slices; matching strings become same-length spaces. Unsupported matched structures and extended XMP stop for a metadata-aware editor. See selective handling.
-
Choose a write mode:
-
Prefer verified copies when replacement was not explicitly requested:
python "<skill-folder>\scripts\clean_image_metadata.py" "<file-or-folder>" --recursive --output-dir "<clean-folder>" -
Use
--in-placeonly when the user wants the originals changed. Add--backup-dir "<folder-outside-the-publish-folder>"when a backup is useful. -
Add
--all-metadataonly when the user asks to remove all removable non-rendering metadata. Preserve color profiles and functional animation data.
-
-
Confirm every changed file reports
PASS. The cleaner reparses the written container and confirms that encoded PNG, JPEG, WebP, or GIF image payloads are unchanged. -
Inspect the cleaned output again when extra verification is appropriate.
-
Report the number of files processed, exact output path, formats handled, and metadata removed.
What ships with it
3 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.
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.
- 12d ago Changed · +1 lines 276e1fe21122
- 1mo ago First seen · 72 lines · 109 tokens per session scan A cf25b7c3d82d
remove-ai-image-metadata is a skill published in the GitHub repository jqaisystems/jqai-ai-skills (3 stars, last pushed 13d ago), licensed MIT. It adds 109 tokens to every session and 1,009 once invoked, about $0.0004 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.
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