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 seed-forge/harness-ai-kit --skill public-redis-expert-basegit clone --depth 1 https://github.com/seed-forge/harness-ai-kitWrote 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/seed-forge/harness-ai-kit/public-redis-expert-base)<a href="https://agentmods.dev/skills/seed-forge/harness-ai-kit/public-redis-expert-base"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/public-redis-expert-base/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/seed-forge/harness-ai-kit/public-redis-expert-base"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/public-redis-expert-base.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00058 | $0.01062 |
| Opus 5.5 | $0.00023 | $0.00425 |
| Sonnet 5.5 | $0.00012 | $0.00212 |
| Haiku 4.5 | $0.00006 | $0.00106 |
Grade A, and why
public-redis-expert-base 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 2mo 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Redis Knowledge Base
Foundational guidance for modeling data in Redis and connecting to it efficiently.
Source: Adapted from redis/agent-skills (redis-core + redis-connections + redis-clustering). Official Redis team content.
Workflow
- Identify the access pattern (read/write mix, data shape, latency target).
- Choose the matching data structure (Section 1).
- Design key names following conventions (Section 2).
- Configure connection pool and timeouts (Section 3).
- Batch work with pipelining (Section 4).
- Plan for cluster mode if scaling (Section 5).
Data Structure Selection
Pick the type that matches the access pattern, not just the shape of the data.
| Use case | Recommended type | Why |
|---|---|---|
| Simple values, counters | String | Atomic INCR/DECR, SET/GET |
| Object with independently updated fields | Hash | Per-field reads/writes, no whole-object rewrite |
| Queue, recent-N items | List | O(1) push/pop at ends |
| Unique items, membership checks | Set | O(1) SADD/SISMEMBER/SCARD |
| Rankings, score-based ranges | Sorted Set | Score-ordered; ZADD/ZRANGE/ZRANK |
| Nested / hierarchical data | JSON | Path-level updates, nested arrays, RQE indexing |
| Event log, fan-out messaging | Stream | Persistent, consumer groups |
| Vector similarity | Vector Set | Native vector storage with HNSW |
Common anti-pattern: stuffing a flat object into a serialized string. Use a Hash instead.
References:
Key Naming
Use colon-separated segments with a stable hierarchy:
{entity}:{id}:{attribute}
user:1001:profile
session:abc123
article:987:likes
Rules:
- Lowercase, colon-separated. No spaces, no mixed casing.
- Keep keys short but readable.
- Don't use full URLs or long strings as keys.
- Prefix for multi-tenancy (
tenant:42:user:7:cart).
References:
What ships with it
13 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.
- CHANGELOG.md 879 B
- README.md 154 B
- references/REFERENCE-BLOCKING-COMMANDS.md 632 B
- references/REFERENCE-CHOOSE-DATA-STRUCTURE.md 1.3 KB
- references/REFERENCE-HASH-TAGS.md 555 B
- references/REFERENCE-KEY-NAMING.md 724 B
- references/REFERENCE-PIPELINING.md 545 B
- references/REFERENCE-POOLING.md 869 B
- references/REFERENCE-READ-REPLICAS.md 698 B
- references/REFERENCE-README.md 496 B
- references/REFERENCE-TIMEOUTS.md 722 B
- skill.json 1.5 KB
- USAGE.md 1.2 KB
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.
- 2mo ago First seen · 111 lines · 58 tokens per session scan A 7f629d145c29
public-redis-expert-base is a skill published in the GitHub repository seed-forge/harness-ai-kit (25 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 58 tokens to every session and 1,062 once invoked, about $0.0002 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 2026-08-30.
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