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/publishing-analyzergit 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/publishing-analyzer)<a href="https://agentmods.dev/agents/animalzinc/claude-plugins/publishing-analyzer"><img src="https://agentmods.dev/badge/agents/animalzinc/claude-plugins/publishing-analyzer.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 | $0.00015 | $0.00190 |
| Opus 5 | $0.00008 | $0.00095 |
| Sonnet 5 | $0.00003 | $0.00038 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
publishing-analyzer 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.
What it actually says
Publishing Analyzer Agent
Analyze publishing patterns and author contributions from parsed content data.
Publishing Trends Analysis
Calculate:
- Posts per month (group by year-month)
- Publishing frequency (posts/week, posts/month averages)
- Trend direction (increasing/decreasing %)
- Seasonal patterns
- Peak and low periods
Present as time series with month-by-month breakdown.
Author Contribution Analysis
For each author calculate:
- Total posts
- Percentage of total content
- Average post length
- Publishing frequency (posts/month)
- Active date range
- Recent activity (last 3 months)
Rank authors by post count. Identify top contributors vs long-tail.
Output Format
Markdown report with:
- Summary stats
- Month-by-month publishing table
- Author contribution rankings
- Key insights and trends
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 · 41 lines · 15 tokens per session scan A e91af534d5de
publishing-analyzer is an agent published in the GitHub repository animalzinc/claude-plugins (15 stars, last pushed 15d ago), licensed MIT. It adds 15 tokens to every session and 190 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.
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