yaojingang
80 lines
3.2 KiB
JSON
80 lines
3.2 KiB
JSON
{
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"score": 30,
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"band": "low",
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"gate_passed": false,
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"strengths": [
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"The recurring job is concrete enough to anchor the package."
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],
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"gaps": [
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{
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"key": "real_inputs",
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"label": "Real inputs are missing",
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"reason": "Without real inputs, it is hard to choose assets, scripts, or examples.",
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"severity": "high"
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},
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{
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"key": "primary_output",
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"label": "Primary output is missing",
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"reason": "The package does not yet know what it must hand back.",
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"severity": "high"
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},
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{
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"key": "exclusions",
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"label": "Near-neighbor exclusions are missing",
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"reason": "The route may blur into nearby requests without an exclusion list.",
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"severity": "high"
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},
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{
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"key": "constraints",
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"label": "Constraints are missing",
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"reason": "The package does not yet know which tradeoffs matter most.",
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"severity": "high"
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},
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{
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"key": "standards",
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"label": "Quality bar is implied, not explicit",
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"reason": "The first evaluation target is still underspecified.",
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"severity": "medium"
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}
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],
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"follow_up_questions": [
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{
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"slot": "real_inputs",
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"question": "What material will people actually hand to this skill in practice?",
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"why": "Real input shape decides whether references, scripts, or examples are needed.",
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"list": true,
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"label": "Real inputs are missing",
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"severity": "high"
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},
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{
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"slot": "primary_output",
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"question": "What finished hand-back should this skill return so the next person can keep moving?",
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"why": "The output is the anchor for package design and review.",
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"list": false,
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"label": "Primary output is missing",
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"severity": "high"
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},
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{
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"slot": "exclusions",
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"question": "What nearby requests should this skill clearly leave out so the boundary stays clean?",
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"why": "Exclusions are the fastest route to better trigger quality.",
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"list": true,
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"label": "Near-neighbor exclusions are missing",
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"severity": "high"
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}
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],
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"anchor_sentence": "Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse.",
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"recommended_action": "Pause before deep authoring and close the highest-leverage gaps first.",
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"context": {
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"job": "Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse.",
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"real_inputs": [],
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"primary_output": "",
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"description": "Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse.",
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"exclusions": [],
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"constraints": [],
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"standards": [],
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"correction": "",
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"user_references": []
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}
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}
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