BF fu-mu-gong-ke
父母的功课 — 育儿心理学对话支持技能(心虫增强版)。 提供结构化对话支持、情绪识别、场景匹配、安全检测。 本技能包含可选Python脚本(scripts/目录),部分脚本在SKILL_DIR/data/目录下存储本地统计数据(评估历史、洞察记录、会话状态),不对外传输。 ⚠️ 注意:本技能不替代专业心理咨询、心理治疗或精神科诊断。如遇紧急情况,请拨打心理援助热线。 核心路径:觉察(看见防御)→接纳(慈悲是体)→暂停(给空间)→选择(爱是用) 核心哲学:没有负罪感的支持 + 陪伴而非拯救 + 规则归规则支持归支持 心虫集成:7大增强引擎 — 安全增强协议、路由增强层、情绪分析引擎、元认知控制层、元提示引擎、防御分析引擎、进化恢复引擎
父母的功课 — 育儿心理学对话支持技能(心虫增强版)。 提供结构化对话支持、情绪识别、场景匹配、安全检测。 本技能包含可选Python脚本(scripts/目录),部分脚本在SKILLDIR/data/目录下存储本地统计数据(评估历史、洞察记录、会话状态),不对外传输。 ⚠️…
As a process F 32/100 · Will not run — References files that are not bundled: theory/crisis-intervention.md, scripts/heartflow_metacognition_upgrade.py, theory/age-guide-detail.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 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: 0. 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 ≈ 10853 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: theory/crisis-intervention.md - warning
missing-refreference to a missing file: scripts/heartflow_metacognition_upgrade.py - warning
missing-refreference to a missing file: theory/age-guide-detail.md - warning
missing-refreference to a missing file: theory/family-structure-detail.md - warning
missing-refreference to a missing file: scripts/action_planner.py - warning
missing-refreference to a missing file: scripts/assessment.py - warning
missing-refreference to a missing file: scripts/heartflow_metaprompt_upgrade.py - warning
missing-refreference to a missing file: scripts/heartflow_safety_upgrade.py - warning
missing-refreference to a missing file: scripts/heartflow_emotion_upgrade.py - warning
missing-refreference to a missing file: scripts/heartflow_routing_upgrade.py - warning
missing-refreference to a missing file: scripts/heartflow_defense_upgrade.py - warning
missing-refreference to a missing file: scripts/heartflow_evolution_upgrade.py
Process rating: all ten parameters 32/100
- 0Tools and files. 12 referenced file(s) missing: theory/crisis-intervention.md, scripts/heartflow_metacognition_upgrade.py, theory/age-guide-detail.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
- 40Execution cost. Instruction body is 10853 tokens: crowds the task out of the window
- 100Steps. 503 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. No mutating operations
- low 29 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)
- +3Output format is not stated: the model decides each time
- -255 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 320: enough signal without eating the budget
- +4Structure: 178 headings
- +3Step-by-step instructions: 503 items
- +4Has examples (45 code blocks)
- +4Reference files are cited in the instructions (2 of 19)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 52.