SKILLEMALL.ai

BC bootstrap-realtime-eval

Bootstrap a new realtime eval folder inside this cookbook repo by choosing the right harness from examples/evals/realtime_evals, scaffolding prompt/tools/data files, generating a useful README, and validating it with smoke, full eval, and test runs. Use when a user wants to start a new crawl, walk, or run realtime eval in this repository.

openai/openai-cookbook Agent Skills author: openai MIT 4 files · 1 script body ≈ 1 975 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Bootstrap a new realtime eval folder inside this cookbook repo by choosing the right harness from examples/evals/realtimeevals, scaffolding prompt/tools/data…

As a process C 51/100 · Has gaps — References files that are not bundled: examples/evals/realtime_evals/, examples/evals/realtime_evals/crawl_harness, examples/evals/realtime_evals/walk_harness

ProcedureAI and agentsWriting and documentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
51/100
Has gaps
References files that are not bundled: examples/evals/realtime_evals/, examples/evals/realtime_evals/crawl_harness, examples/evals/realtime_evals/walk_harness
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. 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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: examples/evals/realtime_evals/
  • warning missing-ref reference to a missing file: examples/evals/realtime_evals/crawl_harness
  • warning missing-ref reference to a missing file: examples/evals/realtime_evals/walk_harness
  • warning missing-ref reference to a missing file: examples/evals/realtime_evals/run_harness
  • warning missing-ref reference to a missing file: examples/evals/realtime_evals/<name>_realtime_eval/

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: examples/evals/realtime_evals/, examples/evals/realtime_evals/crawl_harness, examples/evals/realtime_evals/walk_harness
  • 0Tools and files. 5 referenced file(s) missing: examples/evals/realtime_evals/, examples/evals/realtime_evals/crawl_harness, examples/evals/realtime_evals/walk_harness
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 5 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Failures and branches. 11 branches
  • 85Steps. 73 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1975 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 340: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 73 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.