Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add etoyama/insight-blueprint --skill batch-analysisgit clone --depth 1 https://github.com/etoyama/insight-blueprintWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/etoyama/insight-blueprint/batch-analysis)<a href="https://agentmods.dev/skills/etoyama/insight-blueprint/batch-analysis"><img src="https://agentmods.dev/badge/skills/etoyama/insight-blueprint/batch-analysis.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00132 | $0.04568 |
| Opus 5 | $0.00066 | $0.02284 |
| Sonnet 5 | $0.00026 | $0.00914 |
| Haiku 4.5 | $0.00013 | $0.00457 |
Grade A, and why
batch-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/batch-analysis -- Overnight Batch Analysis
Processes queued analysis designs overnight in Claude Code headless mode. For each design, generates a marimo notebook (8-cell contract), executes it, self-reviews the results, records journal events (observe / evidence / question), and produces a morning review summary.
Based on the Papermill (Netflix) "fixed structure, AI-generated content" approach adapted for hypothesis-driven EDA.
Key Files
| File | Purpose | Consumed by |
|---|---|---|
SKILL.md (this file) |
Skill definition, contracts, configuration | Claude Code (on skill activation) |
references/batch-prompt.md |
Full orchestration prompt (902 lines) | claude -p "$(cat ${CLAUDE_SKILL_DIR}/references/batch-prompt.md)" (headless execution) |
When to Use
- Multiple analysis designs are ready for automated execution
- You want overnight/unattended analysis runs
- You want to batch-process queued designs and review results in the morning
When NOT to Use
- Creating or editing analysis designs (-> /analysis-design)
- Interactive analysis and reasoning recording (-> /analysis-journal)
- Drawing final conclusions (-> /analysis-reflection, always human-driven)
- Registering data sources (-> /catalog-register)
Queue Management
Queuing a Design
Set next_action on the design to queue it for batch execution:
update_analysis_design(design_id, next_action={"type": "batch_execute"})
With priority (lower number = processed first):
update_analysis_design(design_id, next_action={"type": "batch_execute", "priority": 1})
next_action Convention
| type | Purpose | Status |
|---|---|---|
batch_execute |
Queue for overnight batch | Active |
human_review |
Awaiting human review (FV-1 reserved) | Future |
After processing, next_action is reset to {} (empty dict; MCP tool cannot set to null).
Designs with terminal status (supported / rejected / inconclusive) are
skipped even if queued.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 449 lines · 132 tokens per session scan A a574fce39b8d
batch-analysis is a skill published in the GitHub repository etoyama/insight-blueprint (0 stars, last pushed 13d ago), licensed MIT. It adds 132 tokens to every session and 4,568 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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