BF MacPowerTools
Safe local Mac optimization toolkit for OpenClaw agents on Apple Silicon. 1-trillion agent swarm simulation, local CoreML resource forecasting, safe cleanup & backups. 100% user-level, no internet, no persistence. Discoverable via ClawHub search.
As a process F 26/100 · Will not run — weak spots: steps, result and completion, when it triggers
ReferenceAI and agentsInfrastructureData and analyticstype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "emoji"
Process rating: all ten parameters 26/100
- 0Steps. Prose only: no discrete steps
- 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
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (MacPowerTools) differs from the folder (mac-power-tools)
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Execution cost. Instruction body is 59 tokens
- 100Running it twice. No mutating operations
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)
- +4Structure: 1 headings, hard to scan
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -15SKILL.md body under 300 characters: nearly empty
- +2Single-language instructions
- +3Description length 246: enough signal without eating the budget
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 41.
External checks
ClawHub: suspicious
This Mac utility is not clearly malicious, but it overstates its safety because it claims no persistence while writing local logs and history, and the shipped script is not a clean runnable Python file.
LLM: suspicious (high) · VirusTotal: benign · 27 May 2026