SKILLEMALL.ai

BC huawei-cloud-flexus-l-server-scripts-excute

Based on Huawei Cloud COC (Cloud Operations Center) APIs for script management and remote execution. Supports creating custom scripts (Shell, Python, Bat) and batch execution on target host instances via UniAgent. Applicable to cloud operations automation and batch script deployment scenarios. Trigger keywords: L-instance, COC script, script management, script execution, cloud operations, custom script, batch execution; COC, script management, script execution, cloud operations (中文触发词:L实例执行脚本).

ClawHub Agent Skills author: huaweiclouddev-dev v1.0.0 MIT-0 7 files body ≈ 5 155 tokens Open the sourceclawhub.ai analyzed 10 h ago

Based on Huawei Cloud COC (Cloud Operations Center) APIs for script management and remote execution.

As a process C 60/100 · Has gaps — weak spots: result and completion, when it triggers

ProcedureSoftware developmentInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
75
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
When it triggers w 12
20
Failures and branches w 10
55
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-flexus-l-server-scripts-excute (ClawHub)

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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
  • low Secrets in code secret-high-entropy-token SKILL.md:367
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    2       SC20…e78     deploy_script        SHELL       HIGH
    placeholder

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5155 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 60/100

  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5155 tokens
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 499: enough signal without eating the budget
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (29 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill does what it says, but it enables privileged remote script execution on Huawei Cloud hosts with under-scoped safety controls and risky credential guidance.
LLM: suspicious (high) · 3 Aug 2026