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render-keyvalue

Provisions and configures Render Key Value (Redis-compatible Valkey 8) instances for caching, session storage, and job queues. Use when the user needs Redis, Key Value, Valkey, a cache, session store, job queue backend, or needs to configure maxmemory policy, ipAllowList, connection strings, or internal vs external access. Trigger terms: Key Value, Redis, Valkey, cache, session store, REDIS_URL, maxmemory, ipAllowList, allkeys-lru, noeviction.

80

Quality

100%

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is an efficient, actionable reference: tight tables, executable config, clear decision guidance, and well-signaled one-level-deep references that keep the overview short. Destructive operations carry explicit warnings and prevention steps.

DimensionReasoningScore

Conciseness

The body is lean — decision tables and short Blueprint snippets carry the load, client code and troubleshooting are offloaded to reference files, and it avoids explaining basic concepts Claude already knows.

3 / 3

Actionability

Provides executable Blueprint YAML, concrete `fromService` wiring with available properties, specific maxmemory policy values, and copy-paste-ready client code per language in the referenced files.

3 / 3

Workflow Clarity

Decision flows are explicit (cache vs queue -> policy, internal vs external URL by context), destructive operations are flagged with prevention ('data is lost during the upgrade... Export critical data before upgrading'), and the Common Mistakes table acts as a verification checklist.

3 / 3

Progressive Disclosure

SKILL.md is a clear overview that signals two real, one-level-deep references (connection-examples.md and troubleshooting.md, both verified to exist) via an inline link and a References table; detail is appropriately split out.

3 / 3

Total

12

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12

Passed

Description

100%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, complete, and well-targeted: it states concrete capabilities, an explicit 'Use when' clause, natural trigger terms, and a distinct niche. Third-person voice is used throughout with no over-claims or fluff.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Provisions and configures Render Key Value... instances for caching, session storage, and job queues' plus 'configure maxmemory policy, ipAllowList, connection strings, or internal vs external access' — rather than vague language.

3 / 3

Completeness

Clearly answers both what ('Provisions and configures... instances for caching, session storage, and job queues') and when ('Use when the user needs Redis, Key Value, Valkey, a cache, session store, job queue backend...') with explicit triggers, in third person.

3 / 3

Trigger Term Quality

Explicit 'Trigger terms: Key Value, Redis, Valkey, cache, session store, REDIS_URL, maxmemory, ipAllowList, allkeys-lru, noeviction' gives good coverage of natural terms a user would say.

3 / 3

Distinctiveness Conflict Risk

Targets a clear niche (Render Key Value / Valkey 8) with distinct, product-specific triggers unlikely to collide with unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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