// per-tool methodology
deliberate fragmentation pattern detector
drop mft csv with cluster run data · detect files with unusual fragmentation patterns · identify deliberate fragmentation used to slow forensic analysis · surface files spread across abnormally many clusters · runs locally
public grade
A
flagship triageraw 14/14 · raw 12–14 / 14
Awhat this grade means
real parser depth · 2+ exports with reason fields · honest limits · canonical UI shell
capability class · binary / media inspection
byte-level inspection of image/audio/video/document containers and metadata
max grade for this class: A
- carving and header inspection can false-positive on random byte alignment
- metadata can be stripped or rewritten — absence of a field is not proof of absence of activity
known limitations
- even A-grade tools can be wrong on rare inputs, malformed files, or adversarial samples
- independent verification is required before consequential or evidentiary use
- the grade is not a court-admissibility score — jurisdiction and chain of custody still apply
B minimum ship bar
- newly added forensics tools must clear the public B minimum before merging
- minimum: letter grade B or A · raw score ≥ 9/14 · UI dimension = 2 · IF/OU/DQ/RB/HN ≥ 1 each · no critical red flags (missing engine, placeholder logic, no exports)
- the ship bar is enforced by quality.audit.json sidecars and npm run tools:grade-forensics --check