full-output-enforcement

full-output-enforcement is an Agent behaviour & coding discipline skill for AI agents, published by Leonxlnx in the taste-skill repository on GitHub. Skillspace rates full-output-enforcement D (56/100) and it passed the safety scan; the rating is based on static analysis only.

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

Grade
D
Quality
56 / 100
Safety
Passed
GitHub stars
84,099

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 GitHubLeonxlnx/taste-skill

Our review

Architecture
86 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Portable: works in any project. Generic LLM output-completeness technique, no product or repo tie.

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Agent behaviour & coding discipline

Also published in 1 other repo

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