CC huawei-cloud-migration-vmware-ecs-private
在私网环境下将 VMware 虚拟机迁移到华为云 ECS,适用于源端和目的端位于不同网络段、通过 VPN 打通的场景。无公网 IP/EIP、VPN 打通、代理 ECS 部署 squid+GOST+rsync 实现代理/转发/文件同步。触发词:私网迁移、私网环境迁移、VPN迁移、内网迁移、无公网迁移、VMware私网迁移、VMware内网迁移、代理ECS迁移、GOST迁移、private network migration、VPN migration、offline migration
在私网环境下将 VMware 虚拟机迁移到华为云 ECS,适用于源端和目的端位于不同网络段、通过 VPN 打通的场景。无公网 IP/EIP、VPN 打通、代理 ECS 部署 squid+GOST+rsync…
As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
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.
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
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 5
✓ No critical or high findings
Medium and low: 5
-
medium Dangerous commands
cmd-eval-dynamictemplates/generate_template.py:23Dynamic code execution from decoded/untrusted inputos.system(f"{sys.executable} -m pip install openpyxl -q") -
low Dangerous commands
cmd-background-processscripts/agent_state_check.sh:245Starts a background / autostarted processnohup ./linuxmain 0 <<< "$linuxmain_input" > /dev/null 2>&1 &
-
low Dangerous commands
cmd-background-processscripts/gost_ops.py:658Starts a background / autostarted process (string literal in code, not executed)"systemctl enable gost",
code literal -
low Dangerous commands
cmd-background-processscripts/proxy_ecs_ops.py:327Starts a background / autostarted process (quoted — discussed, not commanded)self._exec("systemctl enable rsyncd 2>/dev/null || true")quoted -
low Dangerous commands
cmd-background-processscripts/squid_ops.py:261Starts a background / autostarted process (string literal in code, not executed)f"systemctl enable {service_name} 2>/dev/null || true",code literal
Files scanned: 28. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 50/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 59 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2847 tokens
- 100Progress reporting. Reports progress
- low 12 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (4 tags): a typed call is more reliable
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
- -249 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 244: enough signal without eating the budget
- +4Structure: 28 headings
- +3Step-by-step instructions: 59 items
- +4Has examples (2 code blocks)
- +3All 24 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.