SKILLEMALL.ai

BB huawei-cloud-lts-manage

Huawei Cloud LTS (Log Tank Service) full lifecycle management via hcloud CLI. Covers log groups, log streams, indexes, transfer tasks, keyword/SQL alarm rules, and log search. Supports Query (list/show logs, alarms, transfers, indexes), Create (log groups/streams, indexes, transfers, alarms), Update (TTL, index, transfer, alarm config), Delete (log resources, alarm rules), and Diagnose (search logs to locate faults). Delete operations require explicit user confirmation; batch deletion of all LTS resources is prohibited. Triggers include: LTS, 云日志服务, log group, log stream, 日志组, 日志流, 日志检索, 日志转储, 日志告警, 索引配置, log transfer, log alarm, log index, 日志运维, 故障排查, log search, structured log, SQL alarm, keyword alarm.

ClawHub Agent Skills author: huaweicloud-skills-team v1.0.0 MIT-0 10 files · 1 script body ≈ 2 943 tokens Open the sourceclawhub.ai analyzed 3 d ago

Huawei Cloud LTS (Log Tank Service) full lifecycle management via hcloud CLI.

As a process B 66/100 · Nearly there — weak spots: result and completion, when it triggers, failures and branches

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
B
66/100
Nearly there
Failures and branches w 10
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. 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: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 66/100

  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 20 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2943 tokens
  • 100Progress reporting. Reports progress

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 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 714: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This cloud log-management skill is mostly transparent, but it can change or delete important Huawei Cloud logging resources and its setup and permissions are broad enough to require review before installation.
LLM: suspicious (high) · 3 Sept 2026