What is SCP-087: Recovered document?

50/100
Trust Score (C-)
⚠️ Use Caution

SCP-087: Recovered document is a steam that SCP-087: Recovered documents - first-person horror, that tells the story of a classified object.. It has a Nerq Trust Score of 50/100 (C-). 40 GitHub stars. Published by Korovkin Nikita, Filatov Igor, Lagunov Roman, Kristian Shatov. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

50
TRUST SCORE
C-
GRADE
40
STARS
40
DOWNLOADS

What SCP-087: Recovered document Does

SCP-087: Recovered document is a steam in the steam category. SCP-087: Recovered documents - first-person horror, that tells the story of a classified object.. It is published by Korovkin Nikita, Filatov Igor, Lagunov Roman, Kristian Shatov and has no specified license. With 40 GitHub stars and 40 downloads, it has a small community of users and contributors.

Who Should Use SCP-087: Recovered document

SCP-087: Recovered document is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorKorovkin Nikita, Filatov Igor, Lagunov Roman, Kristian Shatov
Categorysteam
LicenseNot specified
Typesteam
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=scp-087-recovered-document

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is SCP-087: Recovered document used for?
SCP-087: Recovered document is a steam tool. SCP-087: Recovered documents - first-person horror, that tells the story of a classified object..
Is SCP-087: Recovered document free?
License: Check project page. SCP-087: Recovered document has 40 GitHub stars.
Is SCP-087: Recovered document safe?
SCP-087: Recovered document has a Nerq Trust Score of 50/100 (C-). Use with caution.
What are alternatives to SCP-087: Recovered document?
Top alternatives: . See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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