Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/khaosans/operator-etlnpx agentmods add skills/khaosans/operator-etl/operator-runWrote 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/khaosans/operator-etl/operator-run)<a href="https://agentmods.dev/skills/khaosans/operator-etl/operator-run"><img src="https://agentmods.dev/badge/skills/khaosans/operator-etl/operator-run.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 | $0.00035 | $0.00298 |
| Opus 5 | $0.00017 | $0.00149 |
| Sonnet 5 | $0.00007 | $0.00060 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
operator-run 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 3d 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
Run Operator ETL locally
Load: okf/index.md → run-local-mvp.md
MVP proof (required before share claims)
./harness/e2e.sh
Quick demo
./scripts/demo_mvp.sh
Commands
| Command | Purpose |
|---|---|
uv run etl-graph --source public_comments |
Full FOIA agentic pipeline |
uv run etl run --source demo |
Orders ETL (interviews) |
uv run pytest -q |
76 tests |
uv run etl dashboard |
Streamlit — Gov + Orders tabs |
Fresh warehouse for demos
OPERATOR_ETL_WAREHOUSE=.tmp/mvp-demo/operator.duckdb \
OPERATOR_ETL_PIPELINE_NAME=public_comments \
OPERATOR_ETL_DOMAIN=gov \
uv run etl-graph
Expected FOIA numbers
See mvp-demo.md: 12 → 10 silver, 2 quarantine, critic pass.
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.
- 3d ago Changed f3a7246b9359
- 6d ago First seen · 45 lines · 35 tokens per session scan A add5ac7a5cc7
operator-run is a skill published in the GitHub repository khaosans/operator-etl (0 stars, last pushed 3d ago), licensed Apache-2.0. It adds 35 tokens to every session and 298 once invoked, about $0.0002 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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