Grok Build marginal-compute SWE-bench study

Forked-trajectory experiments measuring when escalating a Grok Build run to a larger model helps on SWE-bench Verified.

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SafeScan verdict · score 69/100
Coverage
full
Checks run
Rule-based pattern scan
Files checked
94
Findings
0
Scanned
2026-11-01

Badges are rule-based checks, not guarantees: Safe means our rules found no obvious threat in the code we could read. Review code before installing.

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Botlens score · 8 factors
69/100

Each factor is 0, ½ or 1, computed only from catalog fields (scan result, coverage, findings, script files, commit/SHA, author, last seen, install link). A heuristic summary, not a guarantee.

Scan verdict1/1Safe
Code coverage1/1full
Rule findings1/10 matched
No executable scripts0/118 script file(s) of 94
Pinned source1/1commit/SHA-256 recorded
Named author0/1unknown
Recently seen1/1last seen 2026-10-30
Install path0.5/1source URL only

Scan details

Findings
No rule matched.
Content SHA-256
61214e53d2294ef2…
Commit
7a68f91cae
Files
.gitignore
README.md
plots/dial.py
plots/marginal.py
plots/static.py
plots/static_models.py
+88

About

Author
RyanJunejo ↗
Listed on
github:RongleCat/awesome-grok-bot ↗
Category (approx.)
research
First seen
2026-10-30
Last seen
2026-10-30
URL
github.com ↗
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