Borrowing it
Nothing to install: this file belongs to motorway-sandbox/product-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/motorway-sandbox/product-os/main/.claude/commands/export-transcripts.mdgit clone --depth 1 https://github.com/motorway-sandbox/product-osWrote 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/commands/motorway-sandbox/product-os/export-transcripts)<a href="https://agentmods.dev/commands/motorway-sandbox/product-os/export-transcripts"><img src="https://agentmods.dev/badge/commands/motorway-sandbox/product-os/export-transcripts.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 | $0.00000 | $0.00386 |
| Opus 5 | $0.00000 | $0.00193 |
| Sonnet 5 | $0.00000 | $0.00077 |
| Haiku 4.5 | $0.00000 | $0.00039 |
Grade A, and why
export-transcripts 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 2d 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.
What it actually says
Export Granola Transcripts
Export meeting transcripts from Granola's local cache to markdown files. Useful for backing up transcripts, bulk searching across meetings, or working with transcripts offline.
Instructions
-
Check the auto-memory (MEMORY.md) for the user's initials (e.g.
CR). Set{initials}accordingly. -
Run the export script:
python3 scripts/export_granola_transcripts.py -
The script will:
- Read Granola's local cache at
~/Library/Application Support/Granola/cache-v3.json - Parse all meetings and their transcripts
- Create markdown files with meeting title, date, participants, speakers, and full transcript
- Skip files that already exist (safe to re-run)
- Output to
team/{initials}/granola-transcripts/(gitignored) by default
- Read Granola's local cache at
-
The output directory can be customised via the
GRANOLA_BACKUP_DIRenvironment variable:GRANOLA_BACKUP_DIR=/path/to/dir python3 scripts/export_granola_transcripts.py -
After export, report to the user:
- How many new transcripts were exported
- How many were skipped (already existed)
- Date range covered
- Where the files are located
-
If the user wants to search for something across their transcripts, use Grep to search the output directory.
Notes
- Granola must be installed and have cached meetings locally for this to work
- Transcripts are gitignored — they contain potentially sensitive meeting content
- File naming format:
YYYY-MM-DD_HHMM_{safe_title}.md
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.
- 2d ago First seen · 42 lines · 0 tokens per session scan A 63c5338a686a
export-transcripts is a command published in the GitHub repository motorway-sandbox/product-os (9 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 386 tokens. 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 2026-09-04.
Other commands, from other repositories
search
Search across all project artifacts by keyword, document type, or requirement ID.
archive
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assess
Run an AI literacy assessment — scan the repo for evidence, ask clarifying questions, produce a timestamped assessment document, apply immediate habitat fixes, recommend workflow changes, capture a reflection, and add a literacy level badge to the README.
cerebro-work
Grupo: Módulos del segundo cerebro En una frase: Sync cerebro profesional — atajo CerebroWork (script en raíz). Cuándo: Querés correr el sync Meet→Markdown sin recordar paths; ritual rápido post-OAuth. Quién: Cualquier operador del repo.
wize-shard-doc
Splits large markdown (PRD, architecture, etc.) into addressable shards under {doc-name}.shards/.
wiki-log
Show recent entries from the LLM Wiki log (wiki/log.md). Uses the standardized.