BB Deep Work Planner
Transforms a messy task list or brain dump into a structured daily deep work schedule using time-blocking and priority scoring.
As a process B 72/100 · Nearly there — weak spots: when it triggers, consistency, running it twice
GeneratorPersonal productivityInfrastructuretype 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 "slug"
Process rating: all ten parameters 72/100
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 8 mutating operations with no state check
- 40Consistency. Frontmatter name (Deep Work Planner) differs from the folder (deep-work-planner)
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 51 steps
- 100Failures and branches. 10 branches, has a failure section
- 100Execution cost. Instruction body is 2891 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)
- -213 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 127: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 51 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: clean
This is a simple productivity-planning skill that only turns user-provided task lists into schedules and does not request sensitive system access.
LLM: benign (high) · VirusTotal: · 29 May 2026