BC alibabacloud-cloudbackup-ecs-file-backup-essential-edition
Alibaba Cloud ECS File Backup Essential Edition (ECS文件备份基础版). One-click activation, daily automatic backup, 30-day file recovery, 100 GiB free quota. Trigger words: ECS file backup, HBR essential edition, Cloud Backup essential, file deletion recovery, free backup quota, ECS data protection, lightweight backup, affordable ECS backup Redirect words: ECS database backup, ECS full-machine backup, full-machine clone, cross-region backup, cross-account backup, KMS encrypted backup
As a process C 54/100 · 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
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 · 4
✓ No critical or high findings
Medium and low: 4
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medium Dangerous commands
cmd-privilegereferences/cli-installation-guide.md:30Privilege escalation / world-writable permissionssudo mv aliyun /usr/local/bin/
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medium Dangerous commands
cmd-privilegereferences/cli-installation-guide.md:45Privilege escalation / world-writable permissionssudo mv aliyun /usr/local/bin/
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medium Dangerous commands
cmd-privilegereferences/cli-installation-guide.md:58Privilege escalation / world-writable permissionssudo mv aliyun /usr/local/bin/
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medium Dangerous commands
cmd-pipe-to-shellSKILL.md:102Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)> run `curl -fsSL https://aliyuncli.alicdn.com/setup.sh | bash` to update,
quoted
Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5552 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 54/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 70Execution cost. Instruction body is 5552 tokens
- 100Steps. 4 steps
- 100Failures and branches. 6 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- 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
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +3Description length 480: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 4 items
- +4Has examples (27 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.