SKILLEMALL.ai

AC cm-redis-cluster-analyzer

Analyze Redis Sentinel and Cluster configurations for high availability, performance, and memory efficiency. Checks sentinel topology, cluster slot distribution, memory policies, persistence settings, connection pooling, replication lag, and key patterns. Use when asked to review Redis config, audit Redis cluster, check sentinel setup, optimize Redis memory, review Redis HA, troubleshoot Redis failover, or analyze Redis performance. Triggers on "redis", "redis cluster", "redis sentinel", "redis ha", "redis memory", "redis config", "redis failover", "redis replication", "redis performance", "redis audit".

ClawHub Agent Skills author: charlie-morrison v1.0.0 MIT-0 2 files body ≈ 5 483 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, consistency

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
53/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Running it twice w 4
30
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5483 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 53/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (cm-redis-cluster-analyzer) differs from the folder (redis-cluster-analyzer)
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 5483 tokens
  • 100Steps. 24 steps
  • 100Progress reporting. Reports progress

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 9 example trigger phrases
  • +3Description length 611: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 24 items
  • +3Output format is stated explicitly
  • +4Has examples (13 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: clean
This Redis audit skill is coherent and read-only, but users should scope it because Redis configs can contain sensitive operational details.
LLM: benign (high) · VirusTotal: · 29 May 2026