prompt-cache-agent-harness

prompt-cache-agent-harness is a Context window & token budget skill for AI agents, published by Prompthon-IO in the agent-systems-handbook repository on GitHub. Skillspace rates prompt-cache-agent-harness C (77/100) and it passed the safety scan; the rating is based on static analysis only.

Plan and inspect prompt-cache behavior for long-running Claude agent loops. Use when a user wants to split stable tool, system, and history context into cacheable layers, compare captured cache metadata, estimate cost impact from supplied pricing inputs, or keep durable memory outside the cached prefix.

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
324

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 GitHubPrompthon-IO/agent-systems-handbook

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Vendor-specific: built around one product. Prompt caching design for Claude agent loops; Anthropic API specific

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

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