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 agentmods add commands/punt-labs/prfaq/streamlinegit clone --depth 1 https://github.com/punt-labs/prfaqWrote 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/punt-labs/prfaq/streamline)<a href="https://agentmods.dev/commands/punt-labs/prfaq/streamline"><img src="https://agentmods.dev/badge/commands/punt-labs/prfaq/streamline.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 | $0.00018 | $0.00326 |
| Opus 5 | $0.00009 | $0.00163 |
| Sonnet 5 | $0.00004 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
streamline 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 4d 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
Streamline PR/FAQ
Invoke the streamliner agent to tighten a completed PR/FAQ document.
Steps
-
Find the document. If
$ARGUMENTSspecifies a.texfile path, use it. If it names a section (e.g., "TAM section"), note it for focused editing. If no argument is given, search forprfaq.texin the project root. -
Invoke the streamliner agent using the Task tool with
subagent_type: "prfaq:streamliner". Pass the file path and any section focus in the prompt. -
Present the results to the user. The streamliner reports:
- Word count reduction (before/after)
- Changes by category (redundancy, weasel words, phrase compression, throat-clearing)
- Sentences it considered cutting but kept (for user decision)
-
Recompile the PDF. Run
bash scripts/compile_prfaq.sh <path>and verify zero overfull hbox warnings. If any appear, fix them (see SKILL.md Phase 4 for common fixes). -
Offer a follow-up. Ask if the user wants to review the diff, restore any cuts, or run a peer review on the tightened version.
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.
- 4d ago First seen · 25 lines · 18 tokens per session scan A 3bb986841cf9
streamline is a command published in the GitHub repository punt-labs/prfaq (25 stars, last pushed 4d ago), licensed MIT. It adds 18 tokens to every session and 326 once invoked, about $0.0001 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 2026-08-30.
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