social-media-profile-finder · v1.0 · 2026-09-04 · sha256 94dbe83e224d3cbb
social-media-profile-finder v1.0A
Immutable. This exact content is served forever at /api/v1/blob/94dbe83e224d3cbb.
--- name: social-media-profile-finder description: Find public Facebook and Instagram profiles from a photo plus a name and location using reverse image search, face search, and name-location dorks. Triggered by find Facebook Instagram from photo, OSINT social profiles, identify account from picture name city, reverse face search socials, or when the user supplies a social photo plus name plus location. metadata: version: "1.0" type: workflow created: "2026-09-05" --- # Social Media Profile Finder ## Overview Identify the most likely public Facebook and Instagram profiles that belong to a person when the user supplies (1) a photo from social media, (2) a name, and (3) a location. Combines reverse-image search, face search, and name-location Google dorks. Public data only. ## Inputs - Photo or photo URL / description of a face-forward image - Full name or closest known name - City, region, or country If any of the three is missing, ask for it before running the full workflow. A name-only or photo-only search is allowed but must be labeled lower confidence. ## Workflow Run these steps in order. Do not skip the photo step when a photo exists. 1. Prepare the image - Prefer the original file over a screenshot. - If multiple faces, crop mentally or describe the target face. - Note lighting, angle, distinctive features, clothing, background landmarks. 2. Reverse image and face search - Exact-file engines first — Google Lens / Google Images, Yandex Images, TinEye. - Face engines second — FaceCheck.ID, PimEyes, similar public face indexes. - Record every URL where the same face or same file appears (profile pics, tagged photos, news, forums). - Pixel match finds copies of a file. Face match finds the same person in different photos. You usually need both. 3. Name + location search Use web_search and open_page with queries such as - `"Full Name" "City"` site:facebook.com - `"Full Name" "City"` site:instagram.com - `"Full Name" instagram` City - `"Full Name" facebook` City - common username stems of the name plus city Also search the name without quotes and with middle initial / nickname variants. 4. Cross-check A candidate only counts if at least two of these align - Face match (same person, not a lookalike) - Name or close alias - Location consistency (current city, hometown, check-ins, language, friends from that area) - Photo reuse across platforms Rank High / Medium / Low. Common names without a face match stay Low. 5. Output (strict) - Highest-confidence Facebook URL + evidence - Highest-confidence Instagram URL + evidence - Other candidates ranked - Confidence per result - What could not be confirmed (private account, common name, no indexed photos) - Exact searches that were run Do not invent profiles. If nothing solid appears, say so and list the searches. ## Tool use - web_search and open_page for dorks and result pages - search_images only when you need additional public photos of a candidate - x_keyword_search / x_user_search if an X handle surfaces as a pivot - Do not claim access behind logins. Do not scrape private accounts. ## Limits - Private Instagram and locked Facebook profiles will not resolve. - Face tools have false positives. Require a second signal. - Paid face engines (PimEyes, FaceCheck.ID) may only be describable, not callable from this sandbox. Tell the user to run those themselves if needed and then feed results back. - This skill is for public OSINT, catfish checks, and self-audit. It is not a stalking kit. ## Version 1.0 — 2026-09-05. Initial skill from user prompt (photo + name + location → Facebook / Instagram).