AD internship-review
提供实习复盘的结构化工作流。当用户想反思、总结或撰写实习回顾时使用——尤其适合传媒、营销、设计及通用办公岗位。触发词包括"实习复盘"、"实习总结"、"写一份实习回顾"、"帮我复盘实习"，或任何将实习经历转化为结构化回顾文档的请求。该技能通过模板生成和逐段引导两个阶段，使用 STAR+L 方法论协助用户完成复盘。
提供实习复盘的结构化工作流。当用户想反思、总结或撰写实习回顾时使用——尤其适合传媒、营销、设计及通用办公岗位。触发词包括"实习复盘"、"实习总结"、"写一份实习回顾"、"帮我复盘实习"，或任何将实习经历转化为结构化回顾文档的请求。该技能通过模板生成和逐段引导两个阶段，使用 STAR+L 方法论协助用户完成复盘。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 7. 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") - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 49/100
- 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 (internship-review) differs from the folder (internship-review-skill)
- 100Tools and files. No external tools needed
- 100Steps. 26 steps
- 100Execution cost. Instruction body is 476 tokens
- 100Running it twice. No mutating operations
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
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 156: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 26 items
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.