export

export is a skill for Claude Code from ai-analyst-lab/ai-analyst. It costs 197 tokens per session (3,643 once invoked), scanned A, original, MIT.

An export workflow that turns analysis results into formats for different audiences, including email, Slack, decision briefs, Google Docs, Word files, slide decks, Notion pages, and CSV data files.

In plain words
What is it for?
Use it to share findings with executives or teams, create presentations and documents, send updates, export tables, or produce a reproducible analysis receipt.
Why use it?
It removes the need to manually reformat the same analysis for sharing. It also supports exporting the underlying data and an audit record of how the analysis was produced.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths.

Good fit Use it to share findings with executives or teams, create presentations and documents, send updates, export tables, or produce a reproducible analysis receipt.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ai-analyst-lab/ai-analyst/export
Install

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.

Any agent
npx skills add ai-analyst-lab/ai-analyst --skill export
Clone the repo
git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst

Made for: Claude Code.

Wrote 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.

agentmods badge for export

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/export/github.svg)](https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/export)
Your own site
<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/export"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/export/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for export

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/export"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/export.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 197 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,643 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00197 $0.03643
Opus 5.5 $0.00079 $0.01457
Sonnet 5.5 $0.00039 $0.00729
Haiku 4.5 $0.00020 $0.00364

Measured 1mo ago against content hash 5c5e8a569931, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

export 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 1mo 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.

.claude/skills/export/SKILL.md · 342 lines

How it starts

The opening of the file, as written. The whole thing — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Export

Purpose

Export analysis results in different formats for different audiences. Converts pipeline outputs into ready-to-share deliverables.

Invocation

/export slides — generate/refresh Marp slide deck from latest analysis /export email — write an executive summary email (markdown) /export slack — write a concise Slack update (markdown) /export brief — write a 1-page decision brief (markdown) /export data — export analysis data tables as CSV /export gdoc — create a Google Doc with full Analysis Readout (charts, SQL, bookmarks) /export docx — generate a local .docx Word document (no Google upload) /export notion — publish a verified analysis as an approved Notion text page /export receipt — generate full analysis receipt (Reproduce-level audit trail) /export all — generate all text formats + data (does NOT include gdoc, notion, or receipt — use /export gdoc, /export notion, and /export receipt separately)

Instructions

Step 1: Find Source Material

Primary source detection (use exactly ONE of these, in order):

  1. outputs/narrative_*.md — if exists, use the most recent by date (check filename date suffix)
  2. outputs/analysis_*.md — if narrative absent, use most recent analysis
  3. working/pipeline_summary.md — if no outputs/ files exist
  4. working/storyboard_*.md — last resort if above are all missing

How to choose when multiple files exist: Sort by filename date (YYYYMMDD or YYYY-MM-DD suffix), use the latest. If no date in filename, use file modification time.

Supporting materials (collect when available, but NOT primary source):

  • outputs/charts/*.png — chart images
  • outputs/validation_*.md — confidence score
  • outputs/close_the_loop_*.md — success tracking + action items
  • working/sql_queries/*.sql — SQL queries

If no outputs exist:

  • Check working/ for partial results
  • If nothing found: "No analysis results to export. Run an analysis first or use /run-pipeline."

Read the full file on GitHub · 342 lines

Changes

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.

  1. 1mo ago Changed · +5 lines 5c5e8a569931
  2. 1mo ago First seen · 337 lines · 197 tokens per session scan A 73783757add2

Subscribe to this mod's changes

export is a skill published in the GitHub repository ai-analyst-lab/ai-analyst (322 stars, last pushed 1mo ago), licensed MIT. It adds 197 tokens to every session and 3,643 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-09-12.

Related

export compared with skills from other repositories

export next to 6 skills from other repositories
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