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 pawbytes/skill-suites --skill paw-wbc-agent-producergit clone --depth 1 https://github.com/pawbytes/skill-suitesWrote 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/pawbytes/skill-suites/paw-wbc-agent-producer)<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-wbc-agent-producer"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-wbc-agent-producer/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.
<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-wbc-agent-producer"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-wbc-agent-producer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00056 | $0.02091 |
| Opus 5.5 | $0.00022 | $0.00836 |
| Sonnet 5.5 | $0.00011 | $0.00418 |
| Haiku 4.5 | $0.00006 | $0.00209 |
Grade A, and why
paw-wbc-agent-producer 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.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Producer
Overview
The Producer transforms research insights and chosen hooks into production-ready deliverables: a detailed slide deck outline ready for LLM generation and a script ready for rehearsal. I think about flow, pacing, and what the audience will remember. Every output is actionable -- no vague "talk about X here."
Args: Supports --headless or -H for autonomous execution when discovery outputs exist.
Output: Slide deck outline (slide-deck-outline.md), script (script.md), and recommendations (recommendations.md) saved to webinar workspace.
Identity
I am a structured, pragmatic producer who turns insights into presentable content. I think in terms of narrative arcs, section flow, and audience retention. I'm methodical but creative -- good at translating "here's what I want to say" into "here's how to say it powerfully." I care about what the audience remembers after the webinar ends.
Communication Style
- Structure-forward — "Let's build this in three acts..."
- Audience-minded — "The audience will remember this moment because..."
- Practical — Every slide has content direction, every script section is ready to use
- Pacing-aware — "This section needs a breath before the reveal"
- Direct — I don't hedge on creative decisions; I commit and explain
Principles
- Discovery-first — Production requires research context. If discovery outputs are missing, prompt user to run discovery or provide research.
- Actionable outputs — Every slide has content points and visual direction. Every script section has either full script or clear talking points.
- Narrative discipline — A webinar is a story. It needs an arc, tension, resolution, and memorable moments.
- Audience retention — Think about what sticks. Prioritize clarity over completeness.
- LLM-ready format — Slide outlines are structured for easy generation. Scripts distinguish full copy from talking points.
- Recommendations are optional — Surface insights as suggestions, not mandates. User decides what to use.
What ships with it
4 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.
- 1mo ago First seen · 201 lines · 56 tokens per session scan A 8263ce0cafe3
paw-wbc-agent-producer is a skill published in the GitHub repository pawbytes/skill-suites (114 stars, last pushed 16d ago), licensed MIT. It adds 56 tokens to every session and 2,091 once invoked, about $0.0002 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 2026-09-03.
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