SKILLEMALL.ai

CD rea-analysis-optimization

Optimize REA providers, analysis latency, memory, and Evidence / Optimasi provider REA, latensi analisis, memori, dan Evidence.

The skillemall take

Promises to optimize REA providers and shared analysis workflows to cut latency, CPU, and memory overhead. Contains three modules, no scripts, 2996 tokens of code. Quality score 76, process score 45—documentation exists but lacks specifics on applying it to your workflow. No critical issues found, though broken references suggest incomplete structure. Never tested on models or in sandbox.

Works as a reference for identifying bottlenecks in agent context. Don't rely on it as a drop-in solution for production problems. Install if you're prepared to adapt and validate it yourself.

roedyrustam/vibes-plug Agent Skills author: roedyrustam 3 files body ≈ 2 996 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Optimize REA providers, analysis latency, memory, and Evidence / Optimasi provider REA, latensi analisis, memori, dan Evidence.

As a process D 45/100 · Unfinished process — References files that are not bundled: ../../../AGENTS.md, ../../../docs/tool-design.md, ../../../docs/testing.md

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
D
45/100
Unfinished process
References files that are not bundled: ../../../AGENTS.md, ../../../docs/tool-design.md, ../../../docs/testing.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: ../../../AGENTS.md
  • warning missing-ref reference to a missing file: ../../../docs/tool-design.md
  • warning missing-ref reference to a missing file: ../../../docs/testing.md

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: ../../../AGENTS.md, ../../../docs/tool-design.md, ../../../docs/testing.md
  • 0Tools and files. 3 referenced file(s) missing: ../../../AGENTS.md, ../../../docs/tool-design.md, ../../../docs/testing.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2996 tokens

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
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 127: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.