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 rampstackco/claude-skills --skill long-form-content-frameworksgit clone --depth 1 https://github.com/rampstackco/claude-skillsWrote 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/rampstackco/claude-skills/long-form-content-frameworks)<a href="https://agentmods.dev/skills/rampstackco/claude-skills/long-form-content-frameworks"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/long-form-content-frameworks/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/rampstackco/claude-skills/long-form-content-frameworks"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/long-form-content-frameworks.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 | $0.00165 | $0.06281 |
| Opus 5 | $0.00082 | $0.03141 |
| Sonnet 5 | $0.00033 | $0.01256 |
| Haiku 4.5 | $0.00016 | $0.00628 |
Grade A, and why
long-form-content-frameworks 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 6d 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 — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Long-Form Content Frameworks
A senior editorial leader's playbook for individual long-form content pieces. The structural disciplines that distinguish publication-quality work from bloggy-long padding or academic bloat.
Long-form is where most content programs lose their nerve or lose their way. Teams either stretch a 1,500-word post to 5,000 with filler (the bloggy-long failure mode), or they over-document the topic with no editorial spine (the academic-bloat failure mode). The pieces that earn their length are the ones where each section justifies its weight, the lede sets a thesis the body actually delivers, and the closing leaves the reader with something specific.
This skill covers the individual long-form piece: the case study, the whitepaper, the research report, the manifesto, the ebook chapter or full ebook, the definitive guide, the long-form tutorial. Different from pillar-content-architecture (which covers HUB architecture: how a pillar plus cluster system fits together), this skill covers the long-form PIECE itself, regardless of whether it sits at the center of a hub or stands alone.
The voice is the senior editorial leader who has shipped dozens of flagship long-form assets and watched plenty of others fail. Honest about which formats earn their length, which structural archetypes fit which problems, and where long-form most often goes wrong.
When to use this skill: planning a flagship long-form piece, structuring a draft that feels saggy, reviewing a long-form piece that is technically correct but emotionally flat, or auditing a content library to find the long-form pieces that should have been blog posts.
What this skill is for
This skill spans individual long-form content pieces. The content suite distinction:
content-strategyis program scope: what to produce across the program.pillar-content-architectureis HUB scope: pillar plus cluster as a topical hub system.long-form-content-frameworks(this skill) is PIECE scope for long-form: individual deep-dive pieces, standalone or as pillars.content-and-copyis execution scope at any length: writing the words.content-brief-authoringis per-piece brief scope at any length: the contract.editorial-qais gate scope: pre-publish verification.ai-content-collaborationis workflow scope: how humans and AI compose.
What ships with it
9 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.
- references/attention-sustaining-techniques.md 9.7 KB
- references/breakouts-and-visualization.md 10 KB
- references/citation-and-source-authority.md 10 KB
- references/closing-patterns.md 12 KB
- references/common-long-form-failures.md 12 KB
- references/format-decision-framework.md 11 KB
- references/lede-patterns-for-long-form.md 9.9 KB
- references/section-weight-calibration.md 9.4 KB
- references/structural-archetype-patterns.md 10 KB
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.
- 6d ago First seen · 318 lines · 165 tokens per session scan A fdec03f0f4c4
long-form-content-frameworks is a skill published in the GitHub repository rampstackco/claude-skills (830 stars, last pushed yesterday), licensed MIT. It adds 165 tokens to every session and 6,281 once invoked, about $0.0008 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 2026-09-03.
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