SKILLEMALL.ai

BB huawei-cloud-functiongraph-trigger-create

Create and configure scheduled TIMER triggers for Huawei Cloud FunctionGraph functions using Quartz Cron expressions. Use this skill when users ask to create triggers, schedule function execution, set up periodic tasks, or configure timers for functions. Triggered by keywords like "create trigger", "set up trigger", "schedule function", "periodic task", "timer", "cron", "创建云函数触发器", "配置云函数触发器", "云函数定时触发", "定时执行", "定时任务", "创建定时器", "FunctionGraph trigger", "schedule function execution".

ClawHub Agent Skills author: huaweicloudskill v1.0.2 MIT-0 10 files · 3 scripts body ≈ 2 451 tokens Open the sourceclawhub.ai↗ analyzed 16 d ago

Create and configure scheduled TIMER triggers for Huawei Cloud FunctionGraph functions using Quartz Cron expressions.

As a process B 70/100 · Nearly there — weak spots: when it triggers, running it twice, progress reporting

GeneratorSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
95
Quality 40%
93
Run on models
none yet
Process rating
B
70/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: huawei-cloud-functiongraph-trigger-create (ClawHub)

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • medium Dangerous commands cmd-privilege references/sdk-installation-guide.md:161
      Privilege escalation / world-writable permissions
      sudo cp corporate-ca.crt /usr/local/share/ca-certificates/

    Files scanned: 10. 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 70/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 5 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 67 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2451 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 17 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

    • +4Description does not say when NOT to use the skill (false activations)
    • -32 of 3 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 9 example trigger phrases
    • +3Description length 488: enough signal without eating the budget
    • +4Structure: 29 headings
    • +3Step-by-step instructions: 67 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    The skill is a disclosed Huawei Cloud FunctionGraph timer-trigger helper, but users should scope credentials and IAM permissions carefully before using it.
    LLM: benign (high) · VirusTotal: · 9 Oct 2026