BF resume-to-tags
从简历到纯标签矩阵的完整流程。接受简历文本/文件 → LLM 提取原子标签（含近义词扩展） → 创建飞书多维表格（多选标签字段） → 批量录入候选人 → 清理空白行列 → 输出可搜索的人才标签库。当用户提供简历并要求"生成标签矩阵"、"人才标签库"、"简历转表格"、"候选人打标"时使用。
As a process F 33/100 · Will not run — References files that are not bundled: references/taxonomy.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: 4. 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/taxonomy.md
Process rating: all ten parameters 33/100
Will not run. References files that are not bundled: references/taxonomy.md
- 0Tools and files. 1 referenced file(s) missing: references/taxonomy.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
- 30Running it twice. 2 mutating operations with no state check
- 100Steps. 10 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 879 tokens
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
- +1No license
- +2Single-language instructions
- +3Description length 144: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (3 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.
External checks
ClawHub: suspicious
This skill is mostly a resume tagging workflow, but it handles sensitive resume data and contact details more broadly than its tag-only description makes clear.
LLM: suspicious (high) · 24 Jul 2026