More screenshots

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Stock Photo JPEG Checker Preflight

    1

    Review JPEG dimensions, embedded color-profile evidence and metadata links before a stock-photo upload. Python 3.11+ required.

    $5

    Secure checkout via Stripe

    30-day refund guarantee

    Converts to your local currency at checkout

    0 installsSecurity scanned

    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

    Review a selected folder of JPEG photos and optional metadata CSV before your manual Adobe Stock submission. Flag size, dimensions, unconfirmed color profiles and common filename/title/keyword issues.Receive a local review receipt before the manual platform workflow.Keep the selected input files unchanged; investigate each reported review finding.Use the included instructions, examples and optional local MCP adapter.

    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.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

    Not a fit? Get your money back

    Trust & safety

    Security scanned

    Verified clean 1 day ago

    • Passed all security checks, Safe to install

    Listed1 day ago

    What's inside

    Frequently Asked Questions