Skill audit report

redis-semantic-cache Audit report.

Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 3, 2026Heuristic metadata audit
76
Audit
74
Trust
65
Quality
79
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

74
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

140 GitHub stars

Stars/forks activity

WARN

57

140 stars, 29 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

56

credential or environment access, network or browser surface

Install availability

PASS

92

npx skills add redis/agent-skills --skill redis-semantic-cache

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

48

secrets or environment access, network or browser access

Repository evidence

PASS

86

https://github.com/redis/agent-skills/tree/main/plugins/redis-development/skills/redis-semantic-cache

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 10 Needs review

Install path

92

PASS

npx skills add redis/agent-skills --skill redis-semantic-cache

Repository

88

PASS

https://github.com/redis/agent-skills/tree/main/plugins/redis-development/skills/redis-semantic-cache

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

56

FIX

credential or environment access, network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

48

FIX

secrets or environment access, network or browser access

Stars/forks activity

57

FIX

140 stars, 29 forks; issue activity unavailable in current metadata

Adoption

68

INFO

140 GitHub stars

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, network or browser access
  • Stars/forks activity: 140 stars, 29 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: credential or environment access, network or browser surface
  • Permission surface: secrets or environment access, network or browser access

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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