Skill

meta-inspector

Extracts specific data points like tool timings, query counts, or error summaries from large agent transcripts, kaizen reports, or JSONL files using Grep and DuckDB SQL without loading raw data into context.

developer-tools

npx claudepluginhub jamie-bitflight/claude_skills --plugin agentskill-kaizen

Tool Access

This skill is limited to using the following tools:

ReadGrepGlobmcp__plugin_agentskill-kaizen_kaizen-duckdb__execute_query

Preview

A data extraction skill for pulling specific facts from files. Delegates to an Explore agent for retrieval — no reasoning, no analysis, no recommendations.

Supporting Assets

references/extraction-patterns.md

SKILL.md

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Stats

Parent Repo Stars43

Parent Repo Forks7

Last CommitMar 28, 2026

Actions

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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_auto with 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."

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_auto with 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."