BB alibabacloud-video-translation
Alibaba Cloud IMS (Intelligent Media Services) based video translation Skill. Supports subtitle extraction (ASR/OCR), translation, and speech synthesis translation modes. Trigger words: "视频翻译", "translate video", "翻译视频", "字幕翻译", "video translation"
As a process B 71/100 · Nearly there — weak spots: progress reporting
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
- 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-privilegereferences/cli-installation-guide.md:71Privilege escalation / world-writable permissionssudo mv aliyun /usr/local/bin/
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 71/100
- 0Progress reporting. Says nothing while it works
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 18 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3438 tokens
- 100Running it twice. No mutating operations
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 10 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (6 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
- +4Description does not say when NOT to use the skill (false activations)
- -4Absolute local paths (C:\Users, /home/…): not portable
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 248: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 18 items
- +3Output format is stated explicitly
- +4Has examples (11 code blocks)
- +4Reference files are cited in the instructions (6 of 7)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.