mangohud-log-generation
mangohud-log-generation is a Runtime diagnostics & profiling skill for AI agents, published by erkexzcx in the flightlesssomething repository on GitHub. Skillspace rates mangohud-log-generation D (68/100) and it passed the safety scan; the rating is based on static analysis only.
MangoHud log file generation — configuration options (output_folder, log_interval, log_duration, autostart_log), file naming conventions, keybinds for toggling logging, summary file format and statistics, log_versioning option, upload to flightlessmango.com, and benchmark percentile configuration. Use when: configuring MangoHud for benchmark logging, understanding log timing/intervals, parsing summary CSV files, or troubleshooting why logs aren't generated.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 22
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.