useosint · Agent Skills

4 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.

useosint

社区

is-this-photo-real

- Verify whether an image or video is authentic, original and correctly captioned — provenance checks, error level analysis, noise and JPEG compression analysis, clone and copy-move detection, lighting and shadow consistency, C2PA Content Credentials, deepfake and AI-generation tells, and the honest limits of AI-detector tools. Use when fact-checking a photo or video, checking for a deepfake or AI-generated image, spotting manipulation, or testing whether footage is recycled or miscaptioned. App

安装量

5.8万

GitHub Stars

49

最近更新

8月3日

MIT3 文件

查看详情 →

useosint

社区

investigate-without-getting-made

- Investigator OPSEC — threat-model who might notice you, control your attribution surface across IP, ASN, browser and TLS fingerprint, timing and logged-in accounts, separate research identity from real identity, build and age a sockpuppet research persona, and choose between VPN, residential proxy and Tor. Use when setting up a research account, avoiding tipping off a subject, worrying about LinkedIn profile-view leakage, needing a burner phone or email, or hardening a research VM or browser p

安装量

5.8万

GitHub Stars

49

最近更新

8月3日

MIT3 文件

查看详情 →

useosint

社区

what-leaked-about-you

- Check and interpret data-breach exposure for an email, username, phone or name using Have I Been Pwned, the Pwned Passwords k-anonymity range API, DeHashed, IntelX and Snusbase. Use when checking breach or leak exposure, finding which services an account was registered with, interpreting a combolist or credential dump, assessing credential compromise, or auditing your own leaked personal data. Applies to incident response and account-takeover triage, executive and VIP protection, pre-employmen

安装量

5.8万

GitHub Stars

49

最近更新

8月3日

MIT3 文件

查看详情 →

useosint

社区

find-the-original-image

- Reverse image search across Yandex, Google Lens, Bing Visual Search, TinEye and Baidu to find where a picture came from and who published it first. Use when reverse image searching, identifying a photo, face, logo, product, uniform or building, tracing a profile picture or avatar, finding the oldest copy of an image, checking whether a photo is stock or a repost, or reverse-searching a video by keyframes. Applies to romance and investment scam investigation, fake-profile and synthetic-identity

安装量

5.6万

GitHub Stars

49

最近更新

8月3日

MIT3 文件

查看详情 →