AC daily-morning-greetings
This skill triggers when the user asks for a 早安问候, asks to configure a daily early-morning 早安问候, asks to manually补发一条今天的早安问候, or asks for a backup version such as “换一条” or “再来个备选版”. It generates a fixed-format daily morning message using a deterministic local context script for live weather, rotating icons, and rotating wisdom-and-blessing pairs. It supports explicit city parameters, defaults to Shanghai when no city is provided, and can configure external OpenClaw cron schedules across the current chat channel, including plugin-backed chat channels.
As a process C 61/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, progress reporting
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 · 0
✓ No critical or high findings
Files scanned: 6. 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 61/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 100Steps. 164 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2377 tokens
- 100Running it twice. No mutating operations
- low 11 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)
- +1No license
- +2Single-language instructions
- +3Description length 556: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 164 items
- +3Output format is stated explicitly
- +4Has examples (10 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.