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 clever-cc-plugins/cc-content --skill atomizegit clone --depth 1 https://github.com/clever-cc-plugins/cc-contentWrote 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/clever-cc-plugins/cc-content/atomize)<a href="https://agentmods.dev/skills/clever-cc-plugins/cc-content/atomize"><img src="https://agentmods.dev/badge/skills/clever-cc-plugins/cc-content/atomize/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/clever-cc-plugins/cc-content/atomize"><img src="https://agentmods.dev/badge/skills/clever-cc-plugins/cc-content/atomize.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 | $0.00142 | $0.05378 |
| Opus 5.5 | $0.00057 | $0.02151 |
| Sonnet 5.5 | $0.00028 | $0.01076 |
| Haiku 4.5 | $0.00014 | $0.00538 |
Grade A, and why
atomize 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.
How it starts
The opening of the file, as written. The whole thing — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@../_shared/storytelling-frameworks.md Read when: selecting a narrative framework in Step 5 (or by the Step 5 subagent, per-format) @../_shared/persuasion-principles.md Read when: selecting persuasion principles in Step 5 (or by the Step 5 subagent, per-format)
Distribution Engine (Atomization) Skill
Takes one core message — either a brief.md campaign handoff or a manually
described idea — and produces properly-adapted drafts for every named format in a
single run, keeping the core claim and proof points identical across all of them
while letting structure, length, and tone vary per format's own conventions.
Key principle (from research): fix the facts, vary the frame. The specific claim, statistics, named proof points, product/entity names, and quoted figures must stay byte-identical across every atomized piece; structure, length, hook, opening, tone, CTA, and formatting must be rewritten per platform to match its native conventions. This skill enforces that separation to prevent "copy-paste repurposing" — a truncated blog dumped onto LinkedIn — which audiences and algorithms both punish.
Step 0: Recall learnings
If .claude/learnings.md exists, read it silently, [cc-content:*] tags plus any
cross-plugin entries relevant to distribution/repurposing. Never announce.
Step 1: Load context
Read the context table from all loaded CLAUDE.md files:
grep -A 200 '## Context files' CLAUDE.md 2>/dev/null || echo "(no context table)"
CLAUDE.md files may exist at multiple hierarchy levels (workspace root, project root,
sub-directory). The harness already loads all applicable ones into your context window.
If multiple ## Context files tables exist, rows from more specific CLAUDE.md files
take precedence over less specific ones.
If no context table is found in any loaded CLAUDE.md, ask once:
"I don't see any context files registered. Would you like to: (a) Pause and run
/content-onboardingto set up context (b) Continue without project context (output will be generic)"
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.
- 1mo ago First seen · 403 lines · 142 tokens per session scan A a0a9b7db602d
atomize is a skill published in the GitHub repository clever-cc-plugins/cc-content (1 stars, last pushed 14d ago), licensed MIT. It adds 142 tokens to every session and 5,378 once invoked, about $0.0006 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.
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