content

A content-production workflow for a particular day from a weekly publishing plan. It combines source research, writing, visual planning, brand checks, and review.

In plain words
What is it for?
Use it to create a day's planned post, optionally choosing a content category called a pillar, and prepare it for review.
Why use it?
It brings the required context and checks into one process instead of handling each part separately.

Command

Install

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.

agentmods
npx agentmods add commands/saigonxiii/evc/content
Clone the repo
git clone --depth 1 https://github.com/SaigonXIII/evc
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,261 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01261
Opus 5 $0.00000 $0.00630
Sonnet 5 $0.00000 $0.00252
Haiku 4.5 $0.00000 $0.00126

Measured 2d ago against content hash f197b99b06f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

content 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 2d 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.

_templates/commands/content.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Produce

Produce content for a specific day from the weekly plan. Runs the full pipeline: canon research -> copy -> visual -> brand compliance -> review.

Trigger

User invokes /content [day] or /content [day] [pillar] or asks to "create today's post", "produce Monday's content", "build the Tuesday post"

Examples:

  • /content monday
  • /content wednesday product
  • /content friday community

Arguments

  • Required: day of week
  • Optional: pillar override (defaults to the scheduled pillar from config)

Steps

1. Load Context

Read the weekly brief: find the most recent *-brief.md in content-engine/calendar/

  • Extract this day's plan: audience segment, headline concept, visual direction, canon source, narrative thread
  • If no brief exists, read config for the default pillar and audience mapping

Read supporting context:

  • content-engine/config.md — rules, banned phrases, posting schedule
  • content-engine/memory/audience-segments.md — tone and style for target audience
  • content-engine/memory/learning-log.md — what's worked before
  • content-engine/memory/visual-log.md — visual best practices

2. Canon Research

Read the canon source specified in the brief:

  • GTM deck, products copy, one-pager, community plan (paths in config.md)
  • Extract relevant quotes and messaging for this day's topic
  • Ensure every claim traces to a canon document

3. Draft Copy

X Post:

  • Draft copy within 280 characters
  • Follow the audience segment's tone and style
  • Include the narrative thread (how this connects to yesterday's and tomorrow's posts)
  • No emojis unless requested
  • Link in reply, not main post

LinkedIn Post (if specified in brief):

  • 800-1300 characters
  • Professional tone, first 2 lines are the hook
  • Tag relevant people/companies if appropriate

For both, include:

  • Audience justification
  • Key message
  • Tone of voice

4. Create Visual Asset

Based on the visual direction from the brief:

If static banner:

  • Select template from brand/templates/social/templates/
  • Create or modify the HTML template with this post's content
  • Export using: node brand/templates/social/export.js --template [name] --platform x

Read the full file on GitHub · 144 lines

Changes

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.

  1. 2d ago First seen · 144 lines · 0 tokens per session scan A f197b99b06f4

Subscribe to this mod's changes

content is a command published in the GitHub repository SaigonXIII/evc (56 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,261 tokens. 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.