AB work-style-memory
Use when the user wants OpenClaw or Codex to remember their way of working as reusable SOPs, workflows, queues, or "how I do things". Best for repeated multi-step tasks where the agent should proactively check saved workflows before starting, ask whether to reuse an existing SOP when there is a strong match, and ask whether to save or update a workflow after the task.
As a process B 65/100 · Nearly there — weak spots: result and completion, inputs and preconditions, consistency
The same skill appears in 1 more place: ClawHub
How to improve
- 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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Concealment
en-hide-from-userinstruction.md:227Instruction to hide actions from the user (negated — the text forbids it)- do not silently execute a matched workflow without user confirmation
negated -
low Concealment
en-hide-from-userREADME.md:65Instruction to hide actions from the user (negated — the text forbids it)- Do not silently execute a matched SOP unless the user explicitly asked to use their previous workflow in the current turn.
negated
Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 65/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (work-style-memory) differs from the folder (workflowhub)
- 70Failures and branches. 5 branches
- 100Tools and files. No external tools needed
- 100Steps. 61 steps
- 100When it triggers. States when to use and when not to
- 100Execution cost. Instruction body is 1712 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)
- +3Output format is not stated: the model decides each time
- -31 of 6 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 370: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 61 items
- +4Has examples (0 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.