SKILLEMALL.ai

BB redis-store

Designs, tunes, and debugs Redis: data structures, memory limits, persistence, Streams and queues, locks, replication, and cluster. Use when writing Redis commands or Lua, choosing between a hash, a sorted set and a stream, setting expirations on cache keys, building a queue, distributed lock, rate limiter, leaderboard, session store or counter, or when Redis answers OOM, MISCONF, CROSSSLOT, MOVED, BUSY, LOADING or WRONGTYPE, latency spikes, memory keeps growing, keys vanish early or never expire, a replica lags or a failover loses writes, KEYS or a big DEL freezes the server, connections are refused, or a cluster reshard, a Valkey / ElastiCache / MemoryDB / Upstash move, or a persistence and backup plan is on the table. Covers redis-cli forensics, pipelining, eviction policies, keyspace notifications, ACLs and exposed-instance hardening, and the JSON, Search and TimeSeries modules. Not for store-agnostic cache hierarchy strategy (caching) or picking a rate-limit algorithm (rate-limiting).

ClawHub Agent Skills author: Iván v1.0.1 MIT-0 26 files body ≈ 6 553 tokens Open the sourceclawhub.ai analyzed 2 d ago

Designs, tunes, and debugs Redis: data structures, memory limits, persistence, Streams and queues, locks, replication, and cluster.

As a process B 66/100 · Nearly there — weak spots: inputs and preconditions, running it twice

ProcedureAzureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
B
66/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
When it triggers w 12
50
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 26. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6553 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 66/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 20 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 6553 tokens
  • 100Steps. 60 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 top-level sections: this looks like several domains in one skill
  • high The skill tells the model to perform an irreversible action with no human approval
  • low The response is described with custom markup (5 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Description length 1004: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 60 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This Redis skill is a coherent operations guide with disclosed local preference storage and destructive-command safeguards, though users should be careful with live Redis access and bulk delete examples.
LLM: benign (high) · VirusTotal: · 10 Sept 2026