AD infj-coach
[何时使用]当用户明确说"我是 INFJ"且需要成长/职业/学习指导时触发。触发关键词:"我是 INFJ"、"INFJ 成长"、"INFJ 职业"、"INFJ 迷茫"、"分析瘫痪"、"想太多做太少"。不触发:纯技术任务(如写代码)、非 INFJ 用户主动说明(如"我是 ENFP")、模糊情绪表达(如"心情不好")无 INFJ 上下文。
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.
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: 6. 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 "created" - note
frontmatter-keyunknown frontmatter key "skill_type" - note
frontmatter-keyunknown frontmatter key "related_skills" - note
frontmatter-keyunknown frontmatter key "self_improvement"
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 (infj-coach) differs from the folder (lj22503-infj-coach)
- 100Tools and files. No external tools needed
- 100Steps. 85 steps
- 100Execution cost. Instruction body is 1570 tokens
- 100Running it twice. No mutating operations
- low 11 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
- -232 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +3Description length 168: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 85 items
- +4Has examples (18 code blocks)
- +4Reference files are cited in the instructions (1 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: suspicious
This looks like a coaching skill rather than malware, but it needs Review because it mixes INFJ and INTP scope and asks to retain sensitive coaching records without clear user controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026