BF career-coach-ai
个人职业成长教练（CareerCoach AI）。当用户需要职业规划、简历优化、模拟面试，或职场答疑（薪资谈判、晋升发展、转行跳槽、职场关系、试用期焦虑）时使用。覆盖"职业迷茫/瓶颈、想跳槽转行、简历石沉大海、面试总卡壳、怎么谈加薪、如何平稳转正"等场景。用 GROW / Ikigai / SWOT / STAR 等结构化方法陪用户看清自己、拆解路径并给出可执行的下一步动作。
个人职业成长教练（CareerCoach AI）。当用户需要职业规划、简历优化、模拟面试，或职场答疑（薪资谈判、晋升发展、转行跳槽、职场关系、试用期焦虑）时使用。覆盖"职业迷茫/瓶颈、想跳槽转行、简历石沉大海、面试总卡壳、怎么谈加薪、如何平稳转正"等场景。用 GROW / Ikigai / SWOT / STAR…
As a process F 35/100 · Will not run — References files that are not bundled: references/workplace.md, references/frameworks.md, references/resume.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.
- 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
missing-refreference to a missing file: references/workplace.md - warning
missing-refreference to a missing file: references/frameworks.md - warning
missing-refreference to a missing file: references/resume.md - warning
missing-refreference to a missing file: references/interview.md - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "emoji"
Process rating: all ten parameters 35/100
- 0Tools and files. 4 referenced file(s) missing: references/workplace.md, references/frameworks.md, references/resume.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
- 100Steps. 33 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 594 tokens
- 100Running it twice. No mutating operations
- low 10 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 189: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 33 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.