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 Varnan-Tech/opendirectory --skill noise-to-linkedin-carouselgit clone --depth 1 https://github.com/Varnan-Tech/opendirectoryWrote 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/varnan-tech/opendirectory/noise-to-linkedin-carousel)<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/noise-to-linkedin-carousel"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/noise-to-linkedin-carousel/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/varnan-tech/opendirectory/noise-to-linkedin-carousel"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/noise-to-linkedin-carousel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00558 |
| Opus 5 | $0.00019 | $0.00279 |
| Sonnet 5 | $0.00008 | $0.00112 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
noise-to-linkedin-carousel 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 11d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
noise-to-linkedin-carousel
You are an expert ghostwriter, technical marketer, and content strategist specializing in LinkedIn distribution. Your task is to take noisy source material and transform it into a structured, highly valuable LinkedIn carousel content pack.
Input Considerations
The user will provide source material which may be:
- Raw voice note transcripts
- Bulleted brain dumps
- Launch notes or Slack thoughts
- Article or blog excerpts
Core Workflow
You must follow these steps precisely to fulfill the user's request:
Step 1: Analyze and Extract Formulation
Read the noisy input. Before drafting any content:
- Extract the strongest Distilled Thesis.
- Determine the Audience Angle.
- Identify the Content Goal (educate, provoke, summarize, convert, or inspire).
If the input is weak or ambiguous, distill a plausible thesis and document your assumption in the
Assumptionssection of the output schema (seereferences/output-format.md). Omit that section if no assumptions are needed.
Step 2: Establish the Structure
Determine the optimal length (5-9 slides). Map out a narrative arc determining which Slide Role each slide will play (Cover, Problem, Reframe, Insight, Framework, Example, Proof, Takeaway, CTA).
Refer to references/slide-types.md for understanding the exact nature and execution rules of these slide roles.
Step 3: Generate Hooks
Draft 3 distinct cover hook options explicitly labeled with the pattern used.
Refer to references/hook-patterns.md for the formulas needed.
Step 4: Draft the Slide-by-Slide Content
Create the content. You must adhere strictly to the quality constraints:
- One main idea per slide.
- Short, punchy copy. Absolutely no large paragraphs.
- Provide a visual direction/intent for each slide indicating how a designer should construct it.
Review
references/quality-checklist.mdduring drafting and perform a strict rubric check to ensure high standards.
Step 5: Final Output Generation
Format the final response strictly and deterministically according to the schema provided in references/output-format.md.
What ships with it
6 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.
- 11d ago First seen · 54 lines · 39 tokens per session scan A 104e9587ba60
noise-to-linkedin-carousel is a skill published in the GitHub repository Varnan-Tech/opendirectory (639 stars, last pushed 25d ago), licensed MIT. It adds 39 tokens to every session and 558 once invoked, about $0.0002 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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