Agent skill · AI & Agents

batch-report

Generate post-run analysis reports for batch processing jobs. Analyzes manifests, timings, and failures to produce comprehensive markdown reports. Optionally sends to agent-inbox for cross-project communication.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill batch-report --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Allowed tools: BashReadWrite
Path: skills/analysis/batch-report/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Batch Report Skill Generate comprehensive analysis reports for completed batch processing jobs. ## Features - **Manifest analysis** - Count successes, failures, partial completions - **Timing breakdown** - Per-step latency analysis, identify bottlenecks - **Failure patterns** - Categorize and summarize failure modes - **Quality metrics** - Sample outputs for quality assessment - **Markdown report** - Human-readable summary - **Agent-inbox integration** - Auto-send to project inbox ## Quick Start ```bash cd .pi/skills/batch-report # Generate report for extractor batch (auto-detects format) uv run python report.py analyze /path/to/batch/output # Generate and send to agent-inbox uv run python report.py analyze /path/to/batch/output --send-to extractor # Just show summary stats uv run python report.py summary /path/to/batch/output # Analyze a standalone state file uv run python report.py state /path/to/.batch_state.json # JSON output for piping uv run python report.py summary /path/to/output --json | jq .success_rate ``` ## Commands ### `analyze` - Full analysis report ```bash uv run python report.py analyze /path/to/output \ --output report.md \ --send-to extractor \ --priority high

What's inside
Steps it walks through
  1. Features
  2. Quick Start
  3. Commands
  4. analyze - Full analysis report
  5. summary - Quick stats only
  6. state - Analyze standalone state files
  7. failures - List failures with reasons
  8. Report Format
  9. Visualization
  10. Supported Batch Formats
  11. Extractor batches
  12. YouTube transcript batches
  13. Generic batches
  14. Integration with agent-inbox
Ships with 1 file
  • metadata.json
Commands it runs
cd .pi/skills/batch-report
Generate report for extractor batch (auto-detects format)
uv run python report.py analyze /path/to/batch/output
Generate and send to agent-inbox
uv run python report.py analyze /path/to/batch/output --send-to extractor
Just show summary stats
uv run python report.py summary /path/to/batch/output
Analyze a standalone state file
uv run python report.py state /path/to/.batch_state.json
JSON output for piping
More from claude-skill-registry
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About this skill
What does the batch-report skill do?

Generate post-run analysis reports for batch processing jobs. Analyzes manifests, timings, and failures to produce comprehensive markdown reports. Optionally sends to agent-inbox for cross-project communication.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill batch-report --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going