BF yufluentcn-review-intel
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As a process F 28/100 · Will not run — References files that are not bundled: ../../docs/技能-评论分析客户指南.md
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.
For the model run — optional
- 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 · 0
✓ No critical or high findings
Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Implicit keys need to be on a single line at line 5, column 1: 经 Yufluent 云端 Harness 输出结构化 JSON 洞察。Cross-border review intelligence: sentiment themes, complaints, praises & action items via cloud Harness. ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
description-shortdescription under 40 chars: too little signal for triggering - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: ../../docs/技能-评论分析客户指南.md
Process rating: all ten parameters 28/100
Will not run. References files that are not bundled: ../../docs/技能-评论分析客户指南.md
- 0Tools and files. 1 referenced file(s) missing: ../../docs/技能-评论分析客户指南.md
- 0Result and completion. Does not say what the result is
- 0When it triggers. No condition that starts the skill
- 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
- 40Consistency. Frontmatter name (yufluentcn-review-intel) differs from the folder (yufluent-clawhub-publish-yufluentcn-review-intel)
- 100Steps. 31 steps
- 100Execution cost. Instruction body is 1341 tokens
- 100Running it twice. No mutating operations
- low 12 top-level sections: this looks like several domains in one skill
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 2: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +4Structure: 19 headings
- +3Step-by-step instructions: 31 items
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 43.
External checks
ClawHub: clean
This skill is a disclosed cloud client for analyzing user-provided ecommerce review text, with no hidden persistence or destructive behavior found.
LLM: benign (high) · VirusTotal: · 15 Jun 2026