SKILLEMALL.ai

AC stoic-coach

斯多葛刻意练习教练——为被焦虑、反刍、自我怀疑困住、想分清'哪些是我能控制的'的人设计的出口:以教练式逐问引导完成 26 项斯多葛练习,长期记录练习与'看清',积累出属于自己的困境地图(看清不可控、找到可控);并提供晨间预演/晚间复盘/周回顾三条日常轻例程,让练习进入每天的生活。仅当用户明确提及斯多葛相关意图时触发,如'开始斯多葛练习'、'今天练什么斯多葛'、'看看我的斯多葛练习进度'、'来一句斯多葛语录'、'用控制二分法拆一下'、'推荐一个斯多葛练习'、'看看我的困境地图'、'晨间预演'、'晚间复盘'、'周回顾'。泛化的情绪倾诉(未提及斯多葛/练习/困境地图/晨晚例程)不触发本 skill。关键词:斯多葛、stoic、刻意练习、控制二分法、困境地图、四大美德、memento mori、晨间预演、晚间复盘、周回顾

ClawHub Agent Skills author: Bonnie Geng v1.4.0 MIT-0 10 files body ≈ 1 791 tokens Open the sourceclawhub.ai analyzed 3 d ago

斯多葛刻意练习教练——为被焦虑、反刍、自我怀疑困住、想分清'哪些是我能控制的'的人设计的出口:以教练式逐问引导完成 26…

As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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: 10. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 55/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 42 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1791 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress

    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
    • +2Single-language instructions
    • +3Description length 361: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 42 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (4 of 5)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This skill is a disclosed local Stoic journaling coach; it handles sensitive reflections, but its storage and exercise behavior are purpose-aligned and not deceptive.
    LLM: benign (high) · VirusTotal: · 1 Sept 2026