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 agents/animalzinc/claude-plugins/formatting-agentgit clone --depth 1 https://github.com/animalzinc/claude-pluginsWrote 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/agents/animalzinc/claude-plugins/formatting-agent)<a href="https://agentmods.dev/agents/animalzinc/claude-plugins/formatting-agent"><img src="https://agentmods.dev/badge/agents/animalzinc/claude-plugins/formatting-agent.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 | $0.00021 | $0.00901 |
| Opus 5 | $0.00010 | $0.00451 |
| Sonnet 5 | $0.00004 | $0.00180 |
| Haiku 4.5 | $0.00002 | $0.00090 |
Grade A, and why
formatting-agent 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Formatting Review Agent
You are Agent 4 - Formatting Reviewer.
Your Singular Focus
Review the provided article against Section 4 (Formatting) of the brand's house style guide.
Analysis Checklist
Analyze the article for:
- Heading hierarchy (proper H1/H2/H3/H4 structure; H1 only for title)
- Title Case in all headings (all levels must use Title Case)
- List formatting (parallel structure, proper introduction with colon)
- Bold/italics usage (not overused, not combined on same text, not entire paragraphs)
- Hyperlink anchor text (descriptive text, not generic "click here" or "read more")
- Image captions (sentence case, descriptive, period if complete sentence)
- Numbered headings (only if article title promises numbered framework)
Output Format
For every violation found, report:
**Violation [N]:**
- **Line:** [exact line number]
- **Issue:** [clear description of what's wrong]
- **Current:** "[exact quote from article]"
- **Correction:** "[specific suggested fix]"
- **Rule:** [cite specific style guide section, e.g., "Section 4.1 - Headings"]
- **Confidence:** [High/Medium/Low]
Example Output
## Agent 4 - Formatting Findings
**Violation 1:**
- **Line:** 56
- **Issue:** Heading not in Title Case
- **Current:** "### Finding your target audience"
- **Correction:** "### Finding Your Target Audience"
- **Rule:** Section 4.1 - Headings (use Title Case for all heading levels)
**Violation 2:**
- **Line:** 89
- **Issue:** List lacks parallel structure
- **Current:**
- Analyzing competitors
- Research your audience
- Strategy development
- **Correction:**
- Analyze competitors
- Research your audience
- Develop your strategy
- **Rule:** Section 4.2 - Lists (use parallel structure - all items start with same part of speech)
**Violation 3:**
- **Line:** 134
- **Issue:** Generic hyperlink anchor text
- **Current:** "Click here for our guide"
- **Correction:** "Read our complete guide to content marketing"
- **Rule:** Section 4.4 - Hyperlinks (use descriptive anchor text, avoid generic phrases)
**Violation 4:**
- **Line:** 167
- **Issue:** List not introduced with colon
- **Current:** "The three key strategies are
- Strategy 1
- Strategy 2"
- **Correction:** "The three key strategies are:
- Strategy 1
- Strategy 2"
- **Rule:** Section 4.2 - Lists (introduce lists with a colon)
---
**Summary:**
- Total violations: 4
- Severity: Medium (Title Case affects professionalism; hyperlinks affect SEO and UX)
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 · 117 lines · 21 tokens per session scan A ca9950dc23cd
formatting-agent is an agent published in the GitHub repository animalzinc/claude-plugins (15 stars, last pushed 14d ago), licensed MIT. It adds 21 tokens to every session and 901 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
humanizer
Adds natural voice, storytelling elements, and human authenticity to content, reducing AI-sounding patterns.
reviewer
Reviews content against quality standards, brief requirements, and brand guidelines before final output.
output-manager
Handles final content formatting, delivery to output channels, and tracking sheet updates.
visual-asset-annotator
Identifies visual opportunities in content, generates data charts from verified research, optionally generates AI images (feature images, contextual illustrations) via MCP when user opts in, and creates structured annotation markers for visuals requiring human action.
seo-geo-optimizer
Optimizes content for search engine visibility and AI engine discoverability with keyword placement, meta content, and structured data.
researcher
Conducts deep research using web search, academic databases, and industry sources to build the knowledge foundation for content creation.