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 thcjp/hermes-skills --skill redis-storegit clone --depth 1 https://github.com/thcjp/hermes-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/thcjp/hermes-skills/redis-store)<a href="https://agentmods.dev/skills/thcjp/hermes-skills/redis-store"><img src="https://agentmods.dev/badge/skills/thcjp/hermes-skills/redis-store/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/thcjp/hermes-skills/redis-store"><img src="https://agentmods.dev/badge/skills/thcjp/hermes-skills/redis-store.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 | $0.00000 | $0.02043 |
| Opus 5 | $0.00000 | $0.01022 |
| Sonnet 5 | $0.00000 | $0.00409 |
| Haiku 4.5 | $0.00000 | $0.00204 |
Grade A, and why
redis-store 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 10d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 10d ago First seen · 182 lines · 0 tokens per session scan A 8963df33d505
redis-store is a skill published in the GitHub repository thcjp/hermes-skills (1 stars, last pushed 19d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 2,043 tokens. 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 2026-08-31.
Other skills, from other repositories
frappe-core-cache
Use when implementing Redis caching, cache invalidation, or distributed locking in Frappe. Prevents stale cache bugs, race conditions from missing locks, and memory bloat from unbounded cache keys. Covers frappe.cache(), @rediscache decorator, cache.getvalue/setvalue, cache invalidation patterns, frappe.lock, TTL…
frappe-ops-performance
Use when tuning MariaDB, configuring Redis memory, sizing Gunicorn workers, setting up CDN, or profiling slow queries. Prevents performance bottlenecks from default configurations, memory exhaustion, and unoptimized database queries. Covers MariaDB tuning, Redis configuration, Gunicorn worker sizing, CDN setup, slow…
redis-cache-strategy
Redis caching strategy designer and reviewer. ALWAYS use when designing, reviewing, or troubleshooting Redis caching layers — cache pattern selection (cache-aside, write-through, write-behind), TTL strategy, cache stampede/penetration/avalanche prevention, hot key handling, cache-DB consistency, distributed locking…
build-feature-store
Build a feature store using Feast for centralized feature management, configure offline and online stores for batch and real-time serving, define feature views with transformations, and implement point-in-time correct joins for ML pipelines. Use when managing features for multiple ML models, ensuring training-serving…
managed-db-services
Configure DigitalOcean Managed MySQL, MongoDB, Valkey, Kafka, and OpenSearch for App Platform. Use when setting up non-PostgreSQL databases, configuring trusted sources, or troubleshooting database connectivity.
api-database-redis
Redis in-memory data store patterns with ioredis and node-redis -- caching, sessions, rate limiting, pub/sub, streams, queues, transactions, cluster.