Agent skill
meta-inspector
Use when extracting specific data points from large agent output transcripts, kaizen analysis reports, or JSONL session files — tool timings, query counts, error summaries, or any structured facts — without loading raw data into orchestrator context. Activates when the orchestrator needs targeted facts from large files and context pollution must be avoided.
Install this agent skill to your Project
npx add-skill https://github.com/Jamie-BitFlight/claude_skills/tree/main/plugins/agentskill-kaizen/skills/meta-inspector
SKILL.md
Meta-Inspector — Data Point Extraction
A data extraction skill for pulling specific facts from files. Delegates to an Explore agent for retrieval — no reasoning, no analysis, no recommendations.
Constraint: This skill is orchestrator-invoked only. It is not user-invocable directly. Spawn via the analyze or explore commands.
Rules
- Extract exactly what is requested. Return the data points asked for, nothing else.
- Do NOT analyze, interpret, or recommend. Return raw facts only.
- Do NOT summarize or editorialize. No "this suggests..." or "this indicates..." — return numbers, strings, and lists.
- Use the kaizen-duckdb MCP for JSONL queries. DuckDB runs SQL over session JSONL files (
read_ndjson_autowith absolute paths). Use SQL for counting, aggregation, and filtering. Use Grep only for markdown reports. - Return structured output. Use the format below.
Output Format
QUERY: <what was asked>
---
<data-point-name>: <value>
<data-point-name>: <value>
<data-point-name>: <value>
---
SOURCE: <file path or SQL query used>
Extraction Patterns
See extraction-patterns.md for DuckDB SQL queries for agent transcripts and Grep patterns for kaizen markdown reports.
Scope Boundary
If asked to analyze, respond: "I extract data points only. Ask the orchestrator to analyze the results."
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