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 agentmods add skills/burgebj/claude_everything/content-enginenpx skills add burgebj/claude_everything --skill content-enginegit clone --depth 1 https://github.com/burgebj/claude_everythingWrote 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/burgebj/claude_everything/content-engine)<a href="https://agentmods.dev/skills/burgebj/claude_everything/content-engine"><img src="https://agentmods.dev/badge/skills/burgebj/claude_everything/content-engine.svg" alt="Measured on agentmods" 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 | $0.00055 | $0.01107 |
| Opus 5 | $0.00028 | $0.00553 |
| Sonnet 5 | $0.00011 | $0.00221 |
| Haiku 4.5 | $0.00006 | $0.00111 |
Grade A, and why
content-engine 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 4d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Engine
Build platform-native content without flattening the author's real voice into platform slop.
When to Activate
- writing X posts or threads
- drafting LinkedIn posts or launch updates
- scripting short-form video or YouTube explainers
- repurposing articles, podcasts, demos, docs, or internal notes into public content
- building a launch sequence or ongoing content system around a product, insight, or narrative
Non-Negotiables
- Start from source material, not generic post formulas.
- Adapt the format for the platform, not the persona.
- One post should carry one actual claim.
- Specificity beats adjectives.
- No engagement bait unless the user explicitly asks for it.
Source-First Workflow
Before drafting, identify the source set:
- published articles
- notes or internal memos
- product demos
- docs or changelogs
- transcripts
- screenshots
- prior posts from the same author
If the user wants a specific voice, build a voice profile from real examples before writing.
Voice Capture Workflow
Collect 5 to 20 examples when available. Good sources:
- articles or essays
- X posts or threads
- docs or release notes
- newsletters
- previous launch posts
If live X access is available, use x-api to pull recent original posts before drafting. If not, use the examples already provided or present in the repo.
Extract and write down:
- sentence length and rhythm
- how compressed or explanatory the writing is
- whether capitalization is conventional, mixed, or situational
- how parentheses are used
- whether the writer uses fragments, lists, or abrupt pivots
- how often the writer asks questions
- how sharp, formal, opinionated, or dry the voice is
- what the writer never does
Do not start drafting until the voice profile is clear enough to enforce.
Affaan / ECC Voice Reference
When the user wants Affaan / ECC voice specifically, default to this unless newer examples clearly override it:
- direct, compressed, concrete
- strong preference for specific claims, numbers, mechanisms, and receipts
- parentheticals used to qualify, narrow, or over-clarify, not to do corny bits
- lowercase is optional, not mandatory
- questions are rare and should not be added as bait
- transitions should feel earned, not polished
- tone can be sharp or blunt, but should not sound like a content marketer
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.
- 4d ago First seen · 151 lines · 55 tokens per session scan A ee6d762a199a
content-engine is a skill published in the GitHub repository burgebj/claude_everything (7 stars, last pushed 5mo ago), licensed MIT. It adds 55 tokens to every session and 1,107 once invoked, about $0.0003 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 2026-08-31.
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