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 Avyayalaya/pm-skills-arsenal --skill multi-channel-publishinggit clone --depth 1 https://github.com/Avyayalaya/pm-skills-arsenalWrote 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/avyayalaya/pm-skills-arsenal/multi-channel-publishing)<a href="https://agentmods.dev/skills/avyayalaya/pm-skills-arsenal/multi-channel-publishing"><img src="https://agentmods.dev/badge/skills/avyayalaya/pm-skills-arsenal/multi-channel-publishing/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/avyayalaya/pm-skills-arsenal/multi-channel-publishing"><img src="https://agentmods.dev/badge/skills/avyayalaya/pm-skills-arsenal/multi-channel-publishing.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 | $0.00064 | $0.20652 |
| Opus 5 | $0.00032 | $0.10326 |
| Sonnet 5 | $0.00013 | $0.04130 |
| Haiku 4.5 | $0.00006 | $0.02065 |
Grade A, and why
multi-channel-publishing 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 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.
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.
This is a copy
86% identical to multi-channel-publishing — 77 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 1,148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Produce a channel-ready content derivative from a source document — not a summary, but a structurally adapted compression that preserves the source's thesis, maintains evidence fidelity, and conforms to the target channel's format constraints, audience expectations, and hook conventions. The output is a publishable artifact with a compression log proving nothing was lost by accident.
When to Use / When NOT to Use
Use this skill when:
- Repurposing a long-form article (Substack, blog, thesis) into a LinkedIn post, conference abstract, podcast brief, newsletter, tweet thread, spoken script, or executive briefing
- Deriving a compressed format from a full argument (compression direction: long → short)
- Adapting content for a new audience or channel while preserving the core claim
- Producing a spoken script from written beats or a conference proposal
- Creating a distribution package (multiple derivatives from one source)
Do NOT use this skill when:
- You need to write the original long-form piece (use the source-appropriate writing methodology first — P2: Substack first, derivatives second)
- You need to combine multiple sources into one synthesis (use Narrative Building or Problem Framing)
- You need to translate between languages (this is structural adaptation, not linguistic translation)
- The source document is internal/confidential and the target channel is public (Context Gate will catch this, but flag it early)
- You need a generic summary for no specific audience or channel (summaries without channel constraints produce FM-1: Summary, Not Derivative)
Anti-inputs (what this skill does NOT handle):
- Original content creation from scratch (this skill DERIVES, it does not originate)
- Content strategy or editorial calendar planning (this is a single-derivation tool)
- SEO optimization (channel format rules include discoverability principles, but this is not an SEO skill)
- Visual design or layout (this produces text; design is a separate discipline)
What ships with it
1 file 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 · 1,148 lines · 64 tokens per session scan A 67567110da87
multi-channel-publishing is a skill published in the GitHub repository Avyayalaya/pm-skills-arsenal (6 stars, last pushed 3mo ago), licensed MIT. It adds 64 tokens to every session and 20,652 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to multi-channel-publishing, differing in 77 lines, and is treated as a copy.
Other skills, from other repositories
multi-channel-publishing
Use when repurposing long-form content into channel-specific formats — LinkedIn posts, conference abstracts, podcast briefs, newsletter summaries, tweet threads, or spoken scripts. Encodes compression methodology, channel format rules, evidence density calibration, and audience adaptation. Produces channel-ready…
multi-platform-distribution
Use when one piece of content becomes 10 — blog to Twitter thread, LinkedIn article, YouTube script, newsletter, TikTok script, podcast outline, Reddit post. Use when working with multi platform distribution.
content-director
The Chief Content Officer (CCO) — top-level creative director that orchestrates ALL content production across 1ai-content. Manages Video Director, Image Director, Copywriting, and Content Operations. Has memory via 1ai-hub brain, follows 1ai-rules, and coordinates with Marketing Director for distribution and Sales…
festival-strategy-brief
Produces a festival submission strategy brief for a documentary or short film, identifying target festivals by tier, submission windows, positioning priorities, and a recommended sequencing plan.
platform-distribution-advisor
Recommends the best platforms for distributing a finished piece of content, with a ranked list and a brief rationale for each recommendation based on the content type, format, length, and intended audience.
publication-timing-advisor
Recommends the best day and time to publish a piece of content based on the content type, platform, and intended audience — without requiring access to live analytics data.