Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/indranilbanerjee/neels-plugins/cf-connect)<a href="https://agentmods.dev/skills/indranilbanerjee/neels-plugins/cf-connect"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/neels-plugins/cf-connect/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/indranilbanerjee/neels-plugins/cf-connect"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/neels-plugins/cf-connect.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00029 | $0.03298 |
| Opus 5.5 | $0.00012 | $0.01319 |
| Sonnet 5.5 | $0.00006 | $0.00660 |
| Haiku 4.5 | $0.00003 | $0.00330 |
Grade A, and why
cf-connect 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 yesterday.
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.
This is a copy
86% identical to cf-connect — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/contentforge:cf-connect — Guided Connector Setup
Script location. If your host does not set
${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin'sscripts/folder, next toskills/. Run them with Python 3.10 or newer:python, orpython3wherepythonis not found (macOS, many Linux systems).
Set up a specific MCP integration for ContentForge with step-by-step instructions tailored to the connector's transport type. Handles HTTP connectors (OAuth-based), npx connectors (API keys, environment variables, .mcp.json entry), unknown connector names (fuzzy matching), and post-setup verification.
The ground truth about connectors
ContentForge ships no .mcp.json (it is gitignored). This is deliberate (v3.9.0 Cowork-safety decision): no connector auto-connects when the plugin is installed. Every connector is opt-in — the user adds it to their own .mcp.json (or connects it at the platform level in Cowork/Desktop Settings → Integrations).
Never claim a connector is pre-wired or already connected. All status claims must come from running python "${CLAUDE_PLUGIN_ROOT}/scripts/connector-status.py" — never from this file or from memory.
When to Use
Use /contentforge:cf-connect <name> when:
- You want to connect a specific service (e.g.,
/contentforge:cf-connect wordpress) - A skill told you a connector is missing and suggested using this command
- You're setting up a new ContentForge installation and configuring integrations
- You need the exact environment variables and
.mcp.jsonentry for an npx connector - You want to verify an existing connector is working correctly
What This Command Does
- Look Up Connector — Find the connector in the registry, handle typos and close matches
- Check Current Status — Determine if already configured or needs setup
- Present Setup Instructions — Tailored to transport type (HTTP vs npx)
- Guide Credential Acquisition — Where to get API keys, which permissions to set
- Provide .mcp.json Entry — Ready-to-paste configuration
- Verify After Setup — Confirm environment variables are set and configuration is valid
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.
- yesterday Changed · -5 lines 607b34096d2e
- 16d ago First seen · 266 lines · 29 tokens per session scan A 20c7c1d4a4a9
cf-connect is a skill published in the GitHub repository indranilbanerjee/neels-plugins (7 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 3,298 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to cf-connect, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
continuous-improvement-loop
Run the Part 12 continuous improvement loop into a quarterly brief for leadership. "produce the quarterly improvement brief".
competitor-pages
Build competitor comparison pages: X-vs-Y, alternatives and roundups, with schema. "create a vs page".
yearly-planner
Produce the Part 8 yearly planner: quarterly themes and monthly initiatives. "plan the whole year month by month".
attribution-report
Run attribution on real conversion paths, comparing models. "which channels actually drive revenue".
add-integration
Add a custom MCP integration: scaffold the server, write .mcp.json, test it. "add a new MCP server".
validate-output
Validate content structure against a schema: sections, word counts. "scan for leftover placeholders".