CF unified-credential-vault
medxpert.cn：一套覆盖全生态（含华为鸿蒙）的统一凭据管理体系——零知识自托管、抗AI钓鱼、适配AI世界、硬件密钥防盗、忘密可恢复、分级授权、一键解绑与审计追溯。
medxpert.cn：一套覆盖全生态（含华为鸿蒙）的统一凭据管理体系——零知识自托管、抗AI钓鱼、适配AI世界、硬件密钥防盗、忘密可恢复、分级授权、一键解绑与审计追溯。
As a process F 35/100 · Will not run — References files that are not bundled: references/panorama-capabilities.svg, references/panorama-radar.svg, references/panorama-security-radar.svg
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
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
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- 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 · 1
-
high Dangerous commands
cmd-pipe-to-shell安全审计报告.md:44Downloads and executes remote code from an unrecognised host (pipe to shell)- **不适用**: 未发现任何「下载 + 执行」远程脚本模式（无 curl|bash、无下载后执行）。
Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 85 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
description-no-whenneither description nor a "## When to Use" section says when to use the skill - warning
missing-refreference to a missing file: references/panorama-capabilities.svg - warning
missing-refreference to a missing file: references/panorama-radar.svg - warning
missing-refreference to a missing file: references/panorama-security-radar.svg - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "description_en" - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 35/100
- 0Tools and files. 3 referenced file(s) missing: references/panorama-capabilities.svg, references/panorama-radar.svg, references/panorama-security-radar.svg
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Steps. 15 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 535 tokens
- 100Running it twice. No mutating operations
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)
- +3Description length 85: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +2Single-language instructions
- +4Structure: 7 headings
- +3Step-by-step instructions: 15 items
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 45.