BF 1688-distribution-user-guide
1688分销一件代发新手引导助手。当用户询问分销开店、绑店授权、选品策略、铺货操作、采购管理、售后处理、店铺成长等问题时使用。适用场景包括：用户说"怎么开店"、"怎么绑店"、"授权失败"、"如何选品"、"铺货失败怎么办"、"价格怎么设置"、"售后怎么处理"、"什么平台适合我"、"一件代发怎么做"等分销新人常见问题。
As a process F 35/100 · Will not run — References files that are not bundled: url
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 files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.
Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.
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 · 3
✓ No critical or high findings
Medium and low: 3
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medium Obfuscation
obf-hex-escape-chainreference.md:112Escaped/char-code string obfuscation| 淘宝自动绑店 | [点击进入](https://air.…com/app/channel-fe/distribution-work/ai-assistant.html#/multi-agent-common?bizType=…&inputContent=…
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medium Obfuscation
obf-hex-escape-chainreference.md:113Escaped/char-code string obfuscation| 抖音自动绑店 | [点击进入](https://air.…com/app/channel-fe/distribution-work/ai-assistant.html#/multi-agent-common?bizType=…&inputContent=…
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low Secrets in code
secret-high-entropy-tokenreference.md:113High-entropy token-like string (may be an id, hash or a credential)| 抖音自动绑店 | [点击进入](https://air.…com/app/channel-fe/distribution-work/ai-assistant.html#/multi-agent-common?bizType=…&inputContent=…
Files scanned: 3. 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: url
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: url
- 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. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1040 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 158: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.