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 pledgeandgrow/pledge-skills --skill redisgit clone --depth 1 https://github.com/pledgeandgrow/pledge-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/pledgeandgrow/pledge-skills/redis)<a href="https://agentmods.dev/skills/pledgeandgrow/pledge-skills/redis"><img src="https://agentmods.dev/badge/skills/pledgeandgrow/pledge-skills/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/pledgeandgrow/pledge-skills/redis"><img src="https://agentmods.dev/badge/skills/pledgeandgrow/pledge-skills/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 | $0.00103 | $0.01209 |
| Opus 5 | $0.00051 | $0.00605 |
| Sonnet 5 | $0.00021 | $0.00242 |
| Haiku 4.5 | $0.00010 | $0.00121 |
Grade A, and why
redis-docs 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.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Redis
Redis is an in-memory data store used as a database, cache, message broker, and streaming engine. It supports multiple data structures, pub/sub, streaming, vector search, and more.
Version: Redis 8.x (Redis Open Source replaces Redis Stack)
Quick Reference
| Topic | File |
|---|---|
| Getting Started (install, connect, first commands) | getting-started.md |
| Data Types Overview (all types, when to use each) | data-types.md |
| Strings (strings, bitmaps, bitfields) | strings.md |
| Hashes (field-value pairs, field expiration) | hashes.md |
| Lists (linked lists, blocking ops, capped lists) | lists.md |
| Sets & Sorted Sets (unique members, leaderboards) | sets.md |
| Streams (log data structure, consumer groups) | streams.md |
| JSON (store and query JSON documents) | json.md |
| Geospatial (geo indexes, GEOSEARCH) | geospatial.md |
| Probabilistic (Bloom, Cuckoo, HyperLogLog, CMS, t-digest, Top-K) | probabilistic.md |
| Time Series (time series data type) | timeseries.md |
| Pub/Sub (channels, pattern matching, keyspace notifications) | pubsub.md |
| Commands (command reference by category) | commands.md |
| Clients (Python, JavaScript, Java, C#, PHP) | clients.md |
| Keys & Patterns (expiration, SCAN, transactions, pipelining) | keys-patterns.md |
| Persistence (RDB, AOF, configuration) | persistence.md |
| Security (ACL, TLS, best practices) | security.md |
| Cluster (clustering, replication, sentinel) | cluster.md |
| Performance (memory management, tuning) | performance.md |
| AI & Vector (vector database, search and query, RedisVL) | ai-vector.md |
| Vector Sets (native vector similarity data type) | vector-sets.md |
| Arrays (sparse, index-addressable sequences) | arrays.md |
| Search & Query (full-text search, aggregations, spellcheck) | search.md |
| Scripting (Lua EVAL, Redis Functions) | scripting.md |
| Monitoring (Prometheus, Grafana, Datadog, New Relic) | monitoring.md |
| Deployment (Redis Cloud, Kubernetes, Docker, systemd) | deployment.md |
| RIOT (Redis I/O Tool, import/export/migration) | riot.md |
| Configuration (full redis.conf reference) | configuration.md |
What ships with it
28 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.
- ai-vector.md 7.5 KB
- arrays.md 4.5 KB
- clients.md 10 KB
- cluster.md 6.3 KB
- commands.md 13 KB
- configuration.md 7.1 KB
- data-types.md 4.8 KB
- deployment.md 7.3 KB
- geospatial.md 4.4 KB
- getting-started.md 4.0 KB
- hashes.md 3.7 KB
- json.md 4.9 KB
- keys-patterns.md 6.2 KB
- lists.md 3.9 KB
- monitoring.md 7.8 KB
- performance.md 4.9 KB
- persistence.md 4.5 KB
- probabilistic.md 4.6 KB
- pubsub.md 5.9 KB
- riot.md 4.2 KB
- scripting.md 8.3 KB
- search.md 8.0 KB
- security.md 4.6 KB
- sets.md 6.3 KB
- streams.md 5.6 KB
- strings.md 4.1 KB
- timeseries.md 4.7 KB
- vector-sets.md 6.3 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.
- 10d ago First seen · 118 lines · 103 tokens per session scan A 0b72268a1510
redis-docs is a skill published in the GitHub repository pledgeandgrow/pledge-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 103 tokens to every session and 1,209 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
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