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 danielpaulai/Purely-Personal-Run-a-business-by-itself --skill linkedin-carousel-buildergit clone --depth 1 https://github.com/danielpaulai/Purely-Personal-Run-a-business-by-itselfWrote 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/danielpaulai/purely-personal-run-a-business-by-itself/linkedin-carousel-builder)<a href="https://agentmods.dev/skills/danielpaulai/purely-personal-run-a-business-by-itself/linkedin-carousel-builder"><img src="https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/linkedin-carousel-builder/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/danielpaulai/purely-personal-run-a-business-by-itself/linkedin-carousel-builder"><img src="https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/linkedin-carousel-builder.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 | $0.00143 | $0.04733 |
| Opus 5 | $0.00072 | $0.02367 |
| Sonnet 5 | $0.00029 | $0.00947 |
| Haiku 4.5 | $0.00014 | $0.00473 |
Grade B, and why
linkedin-carousel-builder scanned grade B with 1 finding 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 12d 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
- If rendered: deck follows the Step 9 environment detection, every frame is the template's 540 x 675 (4:5), screen mode snaps and staggers, print mode kills all animation, print instructions delivered. How it starts
The opening of the file, as written. The whole thing — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Carousel Builder · Purely Personal
by Daniel Paul
Read ALL reference files before writing a single word:
/references/voice-dna.md· Daniel's 10 voice rules, ICP, hook archetypes, banned words/references/human-writing-standards.md· Invisibility Diagnostic, AI blacklist, structural rules/references/carousel-frameworks.md· cover, flow, and CTA patterns per intent, plus a full worked example/references/design-system.md· brand tokens for the rendered deck/references/visual-standards.md· environment detection, the HTML+GSAP stack, motion rules, the Carousel shape, and the visual quality gate. Step 9 depends on it./references/html-output-templates.md· the AUTHORITY CAROUSEL TEMPLATE (default) and the EDITORIAL CAROUSEL TEMPLATE (alternate). Step 9 starts from one of them, never from a blank file.
One job: turn one idea into a document post the ICP swipes to the end, saves, and acts on.
Document posts are LinkedIn's highest-engagement format (6.6% average engagement), but only when every slide earns the next swipe. A carousel that smears one thin idea across 12 slides is worse than no carousel. One idea per slide, or the swipe stops.
WHERE THIS SKILL SITS
Reads from: BUSINESS-BRAIN.md · the monthly strategy document if one exists in this project (pull today's topic, pillar, and intent from it instead of asking) · an existing post from linkedin-caption-writer when the user says "turn this post into a carousel" Hands off to: linkedin-caption-writer when the user wants a text-only version of the same idea Tell the user the next step in one line after delivering.
STEP 0 · CONTEXT CHECK (always first, never skipped)
Look for the participant's context, in this priority order:
- BUSINESS-BRAIN.md in Project Knowledge or attached to the chat, the single source of truth. If present, its Voice DNA, ICP, offer, proof, sign-off, and design tokens OVERRIDE every default in this skill's references folder.
- If no brain: individual foundation documents (Voice DNA, ICP, Brand Positioning, Messaging House, Rule of 1, Business in a Box). Use them the same way.
- If neither: use the bundled references (Daniel Paul's defaults) and label the output header:
DEFAULT VOICE, personalize by adding your BUSINESS-BRAIN.md to this project.
What ships with it
7 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.
- 12d ago First seen · 382 lines · 143 tokens per session scan B 9d48709c0a9f
linkedin-carousel-builder is a skill published in the GitHub repository danielpaulai/Purely-Personal-Run-a-business-by-itself (2 stars, last pushed 29d ago), licensed MIT. It adds 143 tokens to every session and 4,733 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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