dnadp-runtime-forensics

dnadp-runtime-forensics is a Game development skill for AI agents, published by OpenRakis in the Cryogenic repository on GitHub. Skillspace rates dnadp-runtime-forensics D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Use when reverse engineering DNADP (AdLib Pro) music behavior, validating OPL timing, correlating UNHSQ bytes with runtime, and preparing safe override rewrites from live evidence.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
54

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubOpenRakis/Cryogenic

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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