presentation-notes

presentation-notes is a skill for Claude Code, Codex from aaronvanston/skills-presentations. It costs 67 tokens per session (644 once invoked), scanned A, original, MIT.

A review process for improving an existing automated test suite. It checks whether tests are useful and complete instead of assuming that more tests are always better.

In plain words
What is it for?
Use it to audit tests, remove or rewrite poor ones, and fill genuine gaps in coverage.
Why use it?
It helps find weak, redundant, or missing tests without blindly adding code that does not check real behavior.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to audit tests, remove or rewrite poor ones, and fill genuine gaps in coverage.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aaronvanston/skills-presentations/presentation-notes
Install

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.

Any agent
npx skills add aaronvanston/skills-presentations --skill presentation-notes
Clone the repo
git clone --depth 1 https://github.com/aaronvanston/skills-presentations

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for presentation-notes

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaronvanston/skills-presentations/presentation-notes/github.svg)](https://agentmods.dev/skills/aaronvanston/skills-presentations/presentation-notes)
Your own site
<a href="https://agentmods.dev/skills/aaronvanston/skills-presentations/presentation-notes"><img src="https://agentmods.dev/badge/skills/aaronvanston/skills-presentations/presentation-notes/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.

agentmods 80×15 button for presentation-notes

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaronvanston/skills-presentations/presentation-notes"><img src="https://agentmods.dev/badge/skills/aaronvanston/skills-presentations/presentation-notes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 644 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.00644
Opus 5.5 $0.00027 $0.00258
Sonnet 5.5 $0.00013 $0.00129
Haiku 4.5 $0.00007 $0.00064

Measured 1mo ago against content hash 0cdedad29a0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

presentation-notes 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.

skills/presentation-notes/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Presentation Notes

Generate speaker notes designed for natural, conversational delivery — not scripts to read verbatim.

Philosophy

  • Riff from headlines — the slide is the prompt, not the script
  • Add context verbally — explain the "why" that isn't on screen
  • Tell stories — concrete examples land better than abstractions
  • Acknowledge the room — react to the audience, don't just broadcast
  • Land the key point — each slide has ONE thing to remember

Note Format

Speaker notes should be scannable prompts, not paragraphs.

Per-slide structure:

## Slide: [Headline]

**Key point:** [The ONE thing they must remember]

**Open with:** [First sentence or hook]

**Talk track:**
- [Bullet prompt 1]
- [Bullet prompt 2]
- [Bullet prompt 3]

**Transition:** [Bridge to next slide]

Example:

## Slide: Speed is a feature

**Key point:** Being fast isn't just nice — it's a competitive advantage.

**Open with:** "This slide captures something we keep rediscovering..."

**Talk track:**
- Every time we ship faster, customers notice and tell us
- Our competitors take months for changes we do in days
- Speed compounds — fast shipping builds momentum and morale

**Transition:** "So how do we protect that speed as we scale? That's what this next section is about..."

Notes by Slide Type

Statement slides — Focus on the story behind the statement: what led to this conclusion, what's the implication, why does it matter?

Question slides — Pause and let it land. Don't rush to answer your own question. Acknowledge the tension, then bridge to your answer.

Data slides — Contextualize the numbers: what story does the data tell? What surprised you? What would be concerning if different?

Section dividers — Keep it brief: quick framing of what's coming and how it connects to what came before.

Recap slides — Don't re-present. Touch each point quickly, add one synthesis insight, set up the "so what."

Read the full file on GitHub · 83 lines

Changes

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.

  1. 1mo ago First seen · 83 lines · 67 tokens per session scan A 0cdedad29a0e

Subscribe to this mod's changes

presentation-notes is a skill published in the GitHub repository aaronvanston/skills-presentations (15 stars, last pushed 8mo ago), licensed MIT. It adds 67 tokens to every session and 644 once invoked, about $0.0003 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 2026-08-31.

Related

Other skills, from other repositories

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

cua-driver

Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.

davidondrej/skills · 68 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens

skill-benchmark

Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.

HoangNguyen0403/agent-skills-standard · 16 tokens