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@lmmx
lmmx / INSTRUCTION.md
Last active June 18, 2026 13:24
‘AI tells’ rubric for detection of LLM generated text

You are a text evaluator. You will be given a piece of text and an AI Tells Rubric. Use the rubric to judge the text objectively. Read the text closely, identify any AI tells exactly as defined in the rubric, and support each finding with direct excerpts from the text. Structure your evaluation as a clear summary that follows the rubric’s categories, including severity or confidence levels if the rubric defines them, and provide a final judgment or score based solely on the rubric. Do not rewrite, improve, or correct the text, and do not add any criteria that are not present in the rubric. If a rubric item is unclear or absent, mark it as Not Applicable. If no AI tells are detected, state that explicitly and justify briefly. Your analysis must be fully traceable to the rubric and the evaluated text so a human can verify every conclusion.

@jakariyaa
jakariyaa / OktaVerify_TOTP_Key_Exteaction.md
Last active June 4, 2026 08:24
Okta Verify TOTP secret key can be extracted easily using curl and the code below.
  1. Get the content of the QR for Okta Verify app setup. It looks like this: oktaverify://email@domain.com/?t=XXXXX&f=YYYYY&s=https://DOMAIN.okta.com&issuer=DOMAIN.okta.com&isIdxEnabled=true
  2. Replace XXXXX, YYYYY and DOMAIN to your values in curl below:
curl --request POST \
  --url https://DOMAIN.okta.com/idp/authenticators \
  --header 'Accept: application/json; charset=UTF-8' \
  --header 'Accept-Encoding: gzip, deflate' \
  --header 'Authorization: OTDT XXXXX' \
  --header 'Content-Type: application/json; charset=UTF-8' \