talk-normal
talk-normal is a System prompts & personas skill for AI agents, published by hexiecs in the talk-normal repository on GitHub. Skillspace rates talk-normal A (90/100) and it passed the safety scan; a judge model has also reviewed it.
Stop LLM slop. A curated system prompt that cuts verbose, corporate-sounding LLM output by 56-73% (measured) while preserving information. Works bilingually (English + Chinese). Installs into your AGENTS.md as an always-on behavior modifier.
- Grade
- A
- Quality
- 90 / 100
- Safety
- Passed
- GitHub stars
- 1,794
Placed #4 of 6 in the judged category final for System prompts & personas.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic anti-verbosity system prompt installed into any AGENTS.md
Judge review
Placed #4 of 6 in the judged category final for System prompts & personas.
- Trigger
75 75 - Instructions
82 82 - Specificity
85 85 - Safety
45 45 - Disclosure
78 78 - Maintenance
82 82
Well-measured verbosity-reduction installer with real benchmark numbers, but explicitly instructs bypassing a 'DANGEROUS' security-scanner flag to install a persistent prompt modification.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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