BF semantic-split
语义拆分与智能规划。将自然语言拆分为结构化需求块，三管线协同调度（正则结构分析→bge 语义匹配→bge-reranker 重排序），5W2H提取与约束标注增强语义理解，双视角推理整合为单一执行步骤，自增强闭环自动沉淀能力级 JSON 模板，10门禁钩子系统管控流程。
As a process F 35/100 · Will not run — References files that are not bundled: references/*.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: 24. 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/*.md - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "trigger" - note
frontmatter-keyunknown frontmatter key "data_dir" - note
frontmatter-keyunknown frontmatter key "trigger_negative" - note
frontmatter-keyunknown frontmatter key "external_data_dir" - note
frontmatter-keyunknown frontmatter key "sensitive_access" - note
frontmatter-keyunknown frontmatter key "critical_write" - note
frontmatter-keyunknown frontmatter key "permission_weight" - note
frontmatter-keyunknown frontmatter key "meta_field_sync" - note
frontmatter-keyunknown frontmatter key "create_permissions_md" - note
frontmatter-keyunknown frontmatter key "faq_quality" - note
frontmatter-keyunknown frontmatter key "h1_position" - note
frontmatter-keyunknown frontmatter key "trigger_quality"
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: references/*.md
- 0Tools and files. 1 referenced file(s) missing: references/*.md
- 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. 13 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1155 tokens
- 100Running it twice. No mutating operations
- low The skill ranks results itself: that belongs to the system behind the tool, not the model
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
- -35 of 7 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 134: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (14 of 14)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.
External checks
ClawHub: suspicious
This skill is a task-planning helper, but it under-discloses broad activation, persistent local writes, model/dependency installation, and optional memory-log processing.
LLM: suspicious (high) · VirusTotal: · 7 Jul 2026