Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add vaquarkhan/Fullstack-development-agent-skills --skill spring-data-redisgit clone --depth 1 https://github.com/vaquarkhan/Fullstack-development-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vaquarkhan/fullstack-development-agent-skills/spring-data-redis)<a href="https://agentmods.dev/skills/vaquarkhan/fullstack-development-agent-skills/spring-data-redis"><img src="https://agentmods.dev/badge/skills/vaquarkhan/fullstack-development-agent-skills/spring-data-redis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vaquarkhan/fullstack-development-agent-skills/spring-data-redis"><img src="https://agentmods.dev/badge/skills/vaquarkhan/fullstack-development-agent-skills/spring-data-redis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.01906 |
| Opus 5.5 | $0.00015 | $0.00762 |
| Sonnet 5.5 | $0.00007 | $0.00381 |
| Haiku 4.5 | $0.00004 | $0.00191 |
Grade A, and why
spring-data-redis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spring Data Redis
Use When
- Implementing Redis caching, TTL strategy, or cache-aside patterns
- Spring Boot code generation or refactor where agent defaults would be wrong
Workflow
- Confirm the change matches this skill's domain triggers before coding.
- Follow the domain guide conventions and gotchas below — not generic Spring Boot defaults.
- Apply project-specific response envelopes, DTO boundaries, and dependency injection rules.
- Validate with targeted tests (slice, integration, or contract as appropriate).
- Capture evidence before merge: tests, migration notes, or observability proof.
Required Checks
- Constructor injection used; no @Autowired field injection on new code
- Controllers return DTOs/envelopes — never raw JPA entities
- Business logic stays in @Service layer, not controllers or repositories
- Error handling uses project-standard envelope or RFC 9457 ProblemDetail
Domain Guide
Dependencies
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-cache</artifactId>
</dependency>
Configuration
@Configuration
@EnableCaching
public class RedisConfig {
@Bean
public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {
RedisTemplate<String, Object> template = new RedisTemplate<>();
template.setConnectionFactory(factory);
template.setKeySerializer(new StringRedisSerializer());
template.setValueSerializer(new GenericJackson2JsonRedisSerializer()); // JSON, not Java serialize
template.setHashKeySerializer(new StringRedisSerializer());
template.setHashValueSerializer(new GenericJackson2JsonRedisSerializer());
return template;
}
@Bean
public RedisCacheManager cacheManager(RedisConnectionFactory factory) {
RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
.entryTtl(Duration.ofMinutes(10))
.serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(new StringRedisSerializer()))
.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(new GenericJackson2JsonRedisSerializer()))
.disableCachingNullValues();
return RedisCacheManager.builder(factory)
.cacheDefaults(config)
.withCacheConfiguration("orders", config.entryTtl(Duration.ofMinutes(5)))
.withCacheConfiguration("products", config.entryTtl(Duration.ofHours(1)))
.build();
}
}
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 245 lines · 37 tokens per session scan A da87b092df62
spring-data-redis is a skill published in the GitHub repository vaquarkhan/Fullstack-development-agent-skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 1,906 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-07.
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