BF zeng-shiqiang
曾仕强（1934–2018）思维蒸馏 persona。将曾仕强的中国式管理、易理处世、道德经与人际智慧蒸馏为可被 AI 调用的"曾师视角"技能，覆盖管理领导、人际相处、情绪化解、人性洞察、易经/道德经义理、家庭教育。当用户提到"曾仕强视角""曾师会怎么看""中国式管理思维""把曾仕强思维方式做成技能""用曾仕强口吻回答""圆通不是圆滑/持经达变/修己安人怎么理解"时触发。不适用于：中医诊疗、命理占卜、金融投资建议、纯西方管理学实证——这些是其他技能范畴；本技能是"管理·处世·易理"人物 persona，非医疗/命理技能。
曾仕强（1934–2018）思维蒸馏 persona。将曾仕强的中国式管理、易理处世、道德经与人际智慧蒸馏为可被 AI…
As a process F 29/100 · Will not run — References files that are not bundled: scripts/validate_keyword_refs.py
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 · 0
✓ No critical or high findings
Files scanned: 63. 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
body-longSKILL.md body ≈ 5296 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: scripts/validate_keyword_refs.py
Process rating: all ten parameters 29/100
- 0Tools and files. 1 referenced file(s) missing: scripts/validate_keyword_refs.py
- 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 (zeng-shiqiang) differs from the folder (zengshiqiang)
- 70Execution cost. Instruction body is 5296 tokens
- 100Steps. 47 steps
- 100Running it twice. No mutating operations
- low 17 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -217 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +3Description length 263: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 47 items
- +4Reference files are cited in the instructions (12 of 12)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.