BD diting
谛听 — HR 深度组织诊断系统，基于麦肯锡七步法+苏格拉底审计+冰山模型。Use when user asks to 深度分析问题、团队诊断、根因分析、组织诊断、干部评估、文化诊断、离职分析、薪酬对标、变革准备度评估、人才盘点。不适用于简单问答、政策查询、模板生成、邮件起草等日常 HR 事务。
As a process D 40/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 18. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 6118 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "diting"
Process rating: all ten parameters 40/100
- 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 (diting) differs from the folder (chief)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70Execution cost. Instruction body is 6118 tokens
- 100Steps. 208 steps
- 100Running it twice. No mutating operations
- low 21 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (13 tags): a typed call is more reliable
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
- -215 emoji in the instructions: noise for the model
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 148: enough signal without eating the budget
- +4Structure: 78 headings
- +3Step-by-step instructions: 208 items
- +4Has examples (19 code blocks)
- +4Reference files are cited in the instructions (1 of 14)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: suspicious
The skill is a coherent HR diagnosis assistant, but it automatically stores sensitive HR case data and evaluator failure records without clear user opt-in or retention controls.
LLM: suspicious (high) · 24 Jul 2026