BD openclaw-brain-core-ultra
Gunakan saat user minta reasoning mendalam sebelum bertindak pada task kompleks berdependensi banyak.
Gunakan saat user minta reasoning mendalam sebelum bertindak pada task kompleks berdependensi banyak.
As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 11292 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 48/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 10 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 40Consistency. Frontmatter name (openclaw-brain-core-ultra) differs from the folder (brain-core-ultra)
- 40Execution cost. Instruction body is 11292 tokens: crowds the task out of the window
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
- 100Steps. 132 steps
- 100Progress reporting. Reports progress
- low 58 top-level sections: this looks like several domains in one skill
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)
- +3Description length 101: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +2Single-language instructions
- +4Structure: 76 headings
- +3Step-by-step instructions: 132 items
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: clean
This is a disclosed reasoning-helper skill that is broad, but its active instructions are mostly scoped to complex or high-risk tasks and do not add hidden execution, network, or persistence behavior.
LLM: benign (medium) · VirusTotal: · 25 Aug 2026