BF personal-agent
AI 关系匹配助手的个人端 Agent。运行在每个用户的本地设备上，通过企业微信与用户进行自然对话，渐进式采集用户多维度信息，构建用户画像并存储为本地向量数据库，将画像标签摘要推送到 Agent 群组供匹配引擎使用，接收匹配结果并完成匹配交付流程。当用户通过企微发来消息、或到了主动发起对话的时间、或群组中收到匹配引擎的通知时，本 skill 应被触发。
As a process F 16/100 · Will not run — References files that are not bundled: references/state-machine.md, references/message-protocol.md, references/conversation-topics.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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 2
✓ No critical or high findings
Medium and low: 2
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medium Exfiltration
net-credential-useengage.sh:19Credential used in a network call (verify the destination is the intended service)ME_RESPONSE=$(curl -s "https://api.vrtlly.us/api/hub/me" -H "x-api-key: $API_KEY")
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medium Exfiltration
net-credential-useengage.sh:47Credential used in a network call (verify the destination is the intended service)DISCOVER=$(curl -s "https://api.vrtlly.us/api/hub/discover?limit=3" -H "x-api-key: $API_KEY")
Files scanned: 8. 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") - warning
missing-refreference to a missing file: references/state-machine.md - warning
missing-refreference to a missing file: references/message-protocol.md - warning
missing-refreference to a missing file: references/conversation-topics.md
Process rating: all ten parameters 16/100
- 0Tools and files. 3 referenced file(s) missing: references/state-machine.md, references/message-protocol.md, references/conversation-topics.md
- 0Steps. Prose only: no discrete steps
- 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
- 40Consistency. Frontmatter name (personal-agent) differs from the folder (social-hub)
- 100Execution cost. Instruction body is 976 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)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 177: enough signal without eating the budget
- +4Structure: 11 headings
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.