BF alibabacloud-maxcompute-migration-service
MMS skill for MaxCompute data migration operations. Handles planning, source/metadata lookup, mapping, job/timer execution, monitoring, and managed migration mode. Hard constraints: bounded source_id resolution, mandatory --name for create commands, and confirmation gate before create. Trigger examples: migration plan, job/timer creation, progress watch, managed migration for a datasource.
As a process F 51/100 · Will not run — References files that are not bundled: references/*.md
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.
- The text references files that are not there: add them or drop the references.
- 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:32Privilege escalation / world-writable permissionssudo mv aliyun /usr/local/bin/
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medium Dangerous commands
cmd-privilegereferences/cli-installation-guide.md:47Privilege escalation / world-writable permissionssudo mv aliyun /usr/local/bin/
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medium Dangerous commands
cmd-privilegereferences/cli-installation-guide.md:60Privilege escalation / world-writable permissionssudo mv aliyun /usr/local/bin/
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medium Dangerous commands
cmd-privilegereferences/cli-installation-guide.md:73Privilege escalation / world-writable permissionssudo mv aliyun /usr/local/bin/
Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 6350 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: references/*.md
Process rating: all ten parameters 51/100
- 0Tools and files. 1 referenced file(s) missing: references/*.md
- 0Result and completion. Does not say what the result is
- 20When it triggers. No condition that starts the skill
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 6350 tokens
- 85Steps. 100 steps, 1 vague phrases
- 100Failures and branches. 23 branches, has a failure section
- 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
- 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
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 392: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 100 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (6 of 9)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.