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 commands/mfmezger/ai_agent_dotfiles/confluence-datacentergit clone --depth 1 https://github.com/mfmezger/ai_agent_dotfilesWrote 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/commands/mfmezger/ai_agent_dotfiles/confluence-datacenter)<a href="https://agentmods.dev/commands/mfmezger/ai_agent_dotfiles/confluence-datacenter"><img src="https://agentmods.dev/badge/commands/mfmezger/ai_agent_dotfiles/confluence-datacenter.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 5.1 | $0.00045 | $0.01916 |
| Opus 5 | $0.00023 | $0.00958 |
| Sonnet 5 | $0.00009 | $0.00383 |
| Haiku 4.5 | $0.00005 | $0.00192 |
Grade A, and why
confluence-datacenter 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 5d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Confluence Data Center
Interact with Confluence Data Center/Server instances via REST API.
Features
| Command | Description |
|---|---|
| get | Get page content by ID or title |
| search | Search content using CQL |
| create | Create a new page |
| update | Update page content |
| delete | Delete a page |
| children | List child pages |
| spaces | List available spaces |
| attachments | List or upload attachments |
| export | Export page to different formats |
Prerequisites
Environment variables (can be in .env file):
CONFLUENCE_BASE_URL- Your Confluence instance URL (e.g.,https://confluence.company.com)CONFLUENCE_PAT- Personal Access Token (preferred)
OR for basic auth:
CONFLUENCE_BASE_URL- Your Confluence instance URLCONFLUENCE_USERNAME- Your usernameCONFLUENCE_PASSWORD- Your password
Creating a Personal Access Token
- Go to your Confluence profile (click avatar → Settings)
- Navigate to Personal Access Tokens
- Click "Create token"
- Give it a name and set expiry
- Copy the token to
CONFLUENCE_PAT
Usage
uvx --with requests --with python-dotenv --with typer --with rich --with markitdown \
python ~/.claude/skills/confluence-datacenter/scripts/confluence.py COMMAND [OPTIONS]
Commands
Get Page
# By page ID
uvx --with requests --with python-dotenv --with typer --with rich --with markitdown \
python ~/.claude/skills/confluence-datacenter/scripts/confluence.py get 12345
# By title and space
uvx --with requests --with python-dotenv --with typer --with rich --with markitdown \
python ~/.claude/skills/confluence-datacenter/scripts/confluence.py get --space DEV --title "Getting Started"
Options:
--format html|storage|markdown- Output format (default: markdown)--json- Output full JSON response
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.
- 5d ago First seen · 252 lines · 45 tokens per session scan A 222f565d040b
confluence-datacenter is a command published in the GitHub repository mfmezger/ai_agent_dotfiles (5 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 1,916 once invoked, about $0.0002 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.
Other commands, from other repositories
deja
Search this machine's past AI coding sessions (deja-vu).
fd-resume
Restore from checkpoint.json (falling back to STATE.md) — brief the user, PAUSE for confirmation, then continue from the recorded command and stage.
seo-fix
Automated SEO agent. Runs the complete audit, prioritizes issues by impact, and automatically fixes everything it can — meta tags, alt text, headings, schema and more. Shows a diff before each change. TRIGGER when the user enters /seo-fix or asks to fix, correct or apply SEO improvements automatically.
seo-report
Generates a complete SEO report in markdown — combines technical audit, content and schema in one document with an overall score and prioritized action plan. TRIGGER when the user enters /seo-report or asks for a full SEO report, SEO summary or SEO audit report.
seo-content
Analyzes content quality — length, readability, thin content, internal duplicate content and topic expansion opportunities. TRIGGER when the user enters /seo-content or asks to analyze content quality, thin content, readability or topic coverage.
seo-images
Reviews all images — missing or generic alt text, unoptimized size, modern format (WebP/AVIF), lazy loading and descriptive file names. TRIGGER when the user enters /seo-images or asks to review images, alt text, image optimization or image SEO.