用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/vamseeachanta/workspace-hub --skill json-config-loader-3-json-report-generation命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
基于 SOC 职业分类
正在显示 SKILL.md
| name | json-config-loader-3-json-report-generation |
| description | Sub-skill of json-config-loader: 3. JSON Report Generation. |
| version | 1.0.0 |
| category | _core |
| type | reference |
| scripts_exempt | true |
Generate structured JSON reports:
#!/bin/bash
# ABOUTME: Generate JSON reports from bash data
# ABOUTME: Uses jq for proper JSON encoding and structure
# Generate simple JSON object
generate_json_object() {
local -n data=$1 # Nameref to associative array
local json="{}"
for key in "${!data[@]}"; do
local value="${data[$key]}"
json=$(echo "$json" | jq --arg k "$key" --arg v "$value" '. + {($k): $v}')
done
echo "$json"
}
# Generate JSON report with structure
generate_report() {
local status="$1"
local total="$2"
local errors="$3"
local warnings="$4"
jq -n \
--arg status "$status" \
--arg timestamp "$(date -Iseconds)" \
--arg run_id "$(date +%Y%m%d-%H%M%S)" \
--argjson total "$total" \
--argjson errors "$errors" \
--argjson warnings "$warnings" \
'{
metadata: {
status: $status,
timestamp: $timestamp,
run_id: $run_id
},
summary: {
total_processed: $total,
errors: $errors,
warnings: $warnings,
success_rate: (if $total > 0 then (($total - $errors) * 100 / $total) else 0 end)
}
}'
}
# Add items to JSON report
add_report_items() {
local report="$1"
shift
local items=("$@")
# Convert items array to JSON array
local items_json="[]"
for item in "${items[@]}"; do
items_json=$(echo "$items_json" | jq --arg i "$item" '. + [$i]')
done
echo "$report" | jq --argjson items "$items_json" '. + {items: $items}'
}
# Save report to file
save_report() {
local report="$1"
local file="$2"
mkdir -p "$(dirname "$file")"
echo "$report" | jq '.' > "$file"
echo "Report saved: $file"
}
# Usage
report=$(generate_report "success" 100 5 10)
report=$(add_report_items "$report" "item1" "item2" "item3")
save_report "$report" "reports/analysis-$(date +%Y%m%d).json"