SKILLEMALL.ai

AC campus-morning-brief

Create a concise, age-appropriate, personalized daily campus morning brief with local weather, verified current news, a bilingual quote, study guidance, reminders, and a concrete action prompt. Use when a user asks for a 校园晨报、学生晨报、school morning brief、printable student daily digest,或面向儿童、青少年、班级和家庭的自动晨间简报。

ClawHub Agent Skills author: my12121-beep v1.0.3 MIT-0 13 files body ≈ 1 154 tokens Open the sourceclawhub.ai analyzed 2 d ago

Create a concise, age-appropriate, personalized daily campus morning brief with local weather, verified current news, a bilingual quote, study guidance…

As a process C 52/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

GeneratorAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
C
52/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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: 11. 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 52/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 43 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1154 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)
    • +2Single-language instructions
    • +3Description length 306: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 43 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: clean
    The skill is a disclosed student morning-brief workflow with expected profile use, current-information research, and local rendering outputs, with no evidence of hidden access, exfiltration, destructive behavior, or automatic delivery.
    LLM: benign (high) · VirusTotal: · 26 Jun 2026