GRASP.
Grasp · Comprehension Index Scan Report

Who still understands openai/openai-python?

Computed from git metadata only; no source code contents were read.
touch-weighted · 3-year history window · last commit 16d ago · scores are comparable only against same-mode scans

Grasp Score
27
touch-weighted living knowledge across the repo
Active humans
9 / 104
contributors active in last 90 days vs. all-time
AI-attributed minimum
≥ 70.5%
hard evidence only. Just 79% of commits here carry any attribution signal, so the real share is higher
Inactive share
14.1%
work by authors with no commit in the window; silence, not proof of departure
Composition
79/10/7/4%
source / tests / docs / config share of scored work
Living, source only
28%
the headline recomputed over hand-written source alone
Score stability
stable
90-day-cliff variant reads 25%–25% across 60/90/180-day activity windows; read the width before the middle value

Dark-code ranking

Modules ranked by comprehension risk: the unknown share, amplified by ongoing change and thin ownership. The green meter is living knowledge.

ModuleRiskLiving knowledgeAI-attr. InactiveBusHeat/180d
(root)CRIT 90
10%
87%10%1344
src/openaiCRIT 90
10%
88%11%1130
src/openai/_utilsHIGH 75
6%
87%15%110
openaiHIGH 74
2%
0%100%00
src/openai/resourcesHIGH 73
21%
75%13%2549
src/openai/cliHIGH 67
11%
72%70%00
testsHIGH 65
30%
65%19%2423
src/openai/typesMED 62
32%
69%11%22307
src/openai/libMED 61
36%
39%44%140
.githubMED 60
35%
49%21%260
examplesMED 53
36%
40%48%231
scriptsLOW 49
46%
50%0%264
.inline-snapshotLOW 49
34%
0%100%00

One commit touched 67% of every file changed in this window. Wide, shallow commits, a formatter run or a license-header pass, add weight for their author across the whole surface while changing little. Worth looking at what that commit was before crediting the score to its author.

Public-repo caveat: "departed" includes drive-by contributors, overstating attrition relative to a company repo with a real roster. Engagement is a proxy for comprehension. Treat it as a potential indicator rather than a diagnosis.