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Stock Photo JPEG Checker Preflight
Review JPEG dimensions, embedded color-profile evidence and metadata links before a stock-photo upload. Python 3.11+ required.
$5
Stock Photo JPEG Checker Preflight
Example session with this skill installed
Using the installed 0.1.10 Skill and CLI, check my selected private local folder of JPEGs and metadata CSV. Return the full JSON receipt; leave inputs unchanged and do not upload. Seller demonstration: synthetic problem and separately prepared correct samples, recorded on Windows/Python 3.12.14.
- Read your context and instructions
- Compiled the stock photo jpeg
Recorded synthetic Windows CLI results
The exact installed 0.1.10 buyer package was run on Windows/Python 3.12.14 with synthetic local files. These are complete JSON results, not a claimed hosted-agent or MCP test. The correct input was prepared separately; this checker did not repair the problem input.
Problem sample
{
"findings": [
{
"code": "SRGB_PROFILE_NOT_EMBEDDED",
"file": "sample.jpg"
}
],
"metadata_csv": {
"bytes": 74,
"file": "metadata.csv",
"rows": 1
},
"photos": [
{
"bytes": 63129,
"color_profile": "unknown",
"file": "sample.jpg",
"height": 2000,
"width": 2000
}
],
"scope": "technical subset only; no Adobe approval or visual/legal/AI-origin decision",
"status": "REVIEW"
}
Separate correct sample
{
"findings": [],
"metadata_csv": {
"bytes": 74,
"file": "metadata.csv",
"rows": 1
},
"photos": [
{
"bytes": 63735,
"color_profile": "sRGB embedded",
"file": "sample.jpg",
"height": 2000,
"width": 2000
}
],
"scope": "technical subset only; no Adobe approval or visual/legal/AI-origin decision",
"status": "PASS_CHECKED_RULES"
}
Next steps
Inspect every finding, correct only a separate working copy, then repeat the documented local check. Use the platform native review separately; PASS_CHECKED_RULES is not platform acceptance.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Review JPEG dimensions, embedded color-profile evidence and metadata links before a stock-photo upload.
DOWNLOAD TYPE A local Python CLI with companion Agent Skill instructions and an optional local MCP adapter. Python 3.11+, trusted pip, setuptools>=68 and wheel, plus Pillow 11.3.0 installed separately. Selected files must be in a private local folder. Resource-limited parsing requires a supported Windows or Linux host; see the README.
WHO IT IS FOR Stock contributors and technical assistants who already work with Python and want a repeatable local technical review.
CHECKS INCLUDED
- JPEG size and dimensions
- Embedded sRGB evidence
- Metadata filename linkage
REAL LOCAL DEMO The synthetic JPEG has no embedded ICC profile, so the tool asks for review rather than guessing sRGB. The measured problem sample returned REVIEW; the separate correct sample returned PASS_CHECKED_RULES. Synthetic fixtures were run through the exact installed 0.1.10 buyer package on Windows/Python 3.12.14. These are CLI results, not a hosted-agent compatibility test.
WHAT YOU RECEIVE The current 0.1.10 ZIP, local CLI source, Agent Skill instructions, optional MCP adapter, usage guide and packaged examples where supplied. One-time current download; no subscription is needed by the CLI.
LIMITS Up to 100 top-level JPEGs; 4 to 100 MP; conservative 45,000,000-byte photo cap. Optional UTF-8 CSV: 1,000,000 bytes and 5,000 rows. Color profiles other than the pinned canonical sRGB profile need manual review, including valid sRGB variants. Not checked: Visual quality, rights, releases, keyword relevance, AI labeling and Adobe acceptance.
PRIVACY AND WORKFLOW The checker processes selected local files and prints JSON. It does not edit, merge, upload or import them and does not sign in to your platform. Photo filenames and technical metadata appear in the report; pixels and raw metadata titles/keywords do not.
ALTERNATIVES Adobe's contributor portal and your own image editor can perform other necessary checks. This product adds a repeatable local JSON workflow; it does not replace those free tools.
Use the destination platform's native workflow after correcting or reviewing findings. A local PASS is not platform approval. No affiliation or endorsement is implied.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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- Passed all security checks, Safe to install