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 phazonoverload/devadvokit --skill build-talk-outlinegit clone --depth 1 https://github.com/phazonoverload/devadvokitWrote 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/phazonoverload/devadvokit/build-talk-outline)<a href="https://agentmods.dev/skills/phazonoverload/devadvokit/build-talk-outline"><img src="https://agentmods.dev/badge/skills/phazonoverload/devadvokit/build-talk-outline/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/phazonoverload/devadvokit/build-talk-outline"><img src="https://agentmods.dev/badge/skills/phazonoverload/devadvokit/build-talk-outline.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 | $0.00039 | $0.01965 |
| Opus 5.5 | $0.00016 | $0.00786 |
| Sonnet 5.5 | $0.00008 | $0.00393 |
| Haiku 4.5 | $0.00004 | $0.00197 |
Grade A, and why
build-talk-outline 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 2mo 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Before doing anything else:
- Check if
~/.devadvokit.mdexists. - If it does, read it silently and use it throughout this skill.
- If it does not, stop and tell the user: "I need your DevRel context before I can run this skill. Please run /setup-devadvokit first."
Read reference/winston-talk-principles.md silently before starting. Apply these principles throughout — they are not optional polish, they are structural requirements.
Q&A
Ask these questions one at a time. Wait for each answer before moving on.
-
Paste your CFP abstract or talk description. If you don't have one yet, describe the talk in a few sentences — the problem it addresses, the angle you're taking, and what you want the audience to leave with.
-
What's the session format and length? (e.g. talk / 30 min, workshop / 90 min — include whether Q&A is expected and if so, how long it typically runs at this event)
-
Any specifics about this particular audience beyond your general context? (e.g. expected seniority mix, whether this is a specialist or general-track event, anything you know about what they've already seen at this conference)
-
Where does this talk sit on the theory-to-practical spectrum?
- Theory-heavy — concepts, mental models, arguments. Code or tooling appears as illustration, not instruction.
- Balanced — roughly equal time on ideas and hands-on material.
- Practical-heavy — mostly code, tooling, or process. Concepts are introduced only as needed to support the practical work.
-
Are you planning any live demos? If yes: describe each one — what you're showing, what it depends on (network, auth, third-party services, local tooling), and roughly how long you'd expect each to take.
-
Are there any audience interaction moments planned? (e.g. polls, show-of-hands questions, short exercises, pair discussions) If so, describe them.
-
Is there anything that absolutely cannot be cut if you run short on time — a specific point, demo, or moment that the talk doesn't work without?
-
How do you want to end? (e.g. clear call to action, open question for the audience, resources slide, straight into Q&A)
What ships with it
3 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.
- 2mo ago First seen · 160 lines · 39 tokens per session scan A 65a3b209c94a
build-talk-outline is a skill published in the GitHub repository phazonoverload/devadvokit (16 stars, last pushed 7mo ago), licensed MIT. It adds 39 tokens to every session and 1,965 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 2026-08-30.
build-talk-outline compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| build-talk-outlinephazonoverload/devadvokit | Skill | 16 | 7mo ago | MIT | A | 39 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |