SKILLEMALL.ai

CF chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

The skillemall take

The skill runs VS Code chat performance benchmarks and memory leak checks. Promises to catch rendering regressions and pipeline issues.

Broken references to missing files found—the skill is incomplete. Quality score 72 out of 100, process coverage 34 percent. No critical findings, but the model never ran it. Sandbox didn't execute. No scripts, just one config file.

Don't install it. Half the docs are broken, and nobody tested whether it actually works. For memory leak diagnostics, you need something more solid.

microsoft/vscode Agent Skills author: microsoft MIT 1 file body ≈ 4 759 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version.

As a process F 34/100 · No process to follow — References files that are not bundled: scripts/chat-simulation/test-chat-perf-regression.js, scripts/chat-simulation/common/perf-scenarios.js, scripts/chat-simulation/test-chat-mem-leaks.js

ProcedureVS CodeData and analyticsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
F
34/100
No process to follow
References files that are not bundled: scripts/chat-simulation/test-chat-perf-regression.js, scripts/chat-simulation/common/perf-scenarios.js, scripts/chat-simulation/test-chat-mem-leaks.js
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/chat-simulation/test-chat-perf-regression.js
  • warning missing-ref reference to a missing file: scripts/chat-simulation/common/perf-scenarios.js
  • warning missing-ref reference to a missing file: scripts/chat-simulation/test-chat-mem-leaks.js

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: scripts/chat-simulation/test-chat-perf-regression.js, scripts/chat-simulation/common/perf-scenarios.js, scripts/chat-simulation/test-chat-mem-leaks.js
  • 0Tools and files. 3 referenced file(s) missing: scripts/chat-simulation/test-chat-perf-regression.js, scripts/chat-simulation/common/perf-scenarios.js, scripts/chat-simulation/test-chat-mem-leaks.js
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 10 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 4759 tokens
  • 85Steps. 45 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (8 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
  • +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 266: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.