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cf-integrations

Preis unbestätigt★ 28 GitHub-StarsVerzeichnis aktualisiert · 12. Sept. 2026agent-skill

Übersicht

Render a live integration status dashboard for ContentForge — configured vs available MCP connectors grouped by category, coverage totals, and the top 3 quick-win connectors to add next, all taken from scripts/connector-status.py output. Triggers on \"/contentforge:cf-integrations\", \"what integrations are connected\", \"show connector status\", \"why can't a skill reach my CMS\", \"which connectors should I set up next\". Reads .mcp.json and environment variables only — no network calls, no agent; it reports status but does not configure anything. Pairs with /contentforge:cf-connect for guided setup and /contentforge:cf-add-integration for services outside the registry.

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/contentforge:cf-integrations — Integration Status Dashboard

Show the complete integration status for your ContentForge installation — configured vs available connectors, grouped by category, with workflow impact analysis and quick-win recommendations.

The ground truth about connectors

ContentForge ships with an empty .mcp.json ("mcpServers": {}) by design (v3.9.0 Cowork-safety decision). On a fresh install, expect 0 connectors configured (or 1-2 if the platform injects its own integrations). Nothing is pre-wired.

Every number in the dashboard must come from the live script output. Never render counts, percentages, or connected/available labels that are not present in the JSON returned by scripts/connector-status.py. Do not copy numbers from the example in this file.

When to Use

Use /contentforge:cf-integrations when:

You just installed ContentForge and want to see what's connected
You're troubleshooting why a skill can't reach an external service
You want to know which connectors to add next for maximum workflow coverage
You need a quick overview before onboarding a new team member
You're planning which integrations to set up for a new project

What This Command Does

Scan All Connectors — Run the status script; it checks the connector registry against your .mcp.json and environment variables
Build Status Dashboard — Group results by category with clear configured/available distinction
Calculate Coverage — Report exactly the totals the script returns
Recommend Quick Wins — Highlight the top 3 not-yet-configured connectors by workflow impact
Surface Category Gaps — Identify categories with zero coverage
Provide Next Steps — For each recommendation, point to /contentforge:cf-connect <name>

Required Inputs

Optional:

Category filter — Show only a specific category (e.g., --category=seo)
Show filter — connected, available, or all (default: all)

What Happens

Step 1: Connector Status Check

python scripts/connector-status.py --action status

This checks:

.mcp.json for HTTP connector entries the user has added
Environment variables for npx connectors (WordPress, Google Sheets, Semrush, DeepL, etc.)
Returns JSON with configured/available status per connector, grouped by category, plus summary totals

Step 2: Format Dashboard by Category

Render the script JSON as a category-grouped dashboard. Each category shows the category name and description, connectors marked [connected] or [available], transport type, and the skills each connector unlocks — all taken from the JSON.

SYNTHETIC EXAMPLE — fabricated for illustration. Always render your actual script output, never this block:

===========================================================
  ContentForge Integration Dashboard
  Connected: 1 of 22 (5%)
===========================================================

  KNOWLEDGE BASE — requirements, brand docs, reference material
  -----------------------------------------------------------
  [available]  Notion (HTTP) — content requirements, brand docs, editorial calendars
  [available]  Confluence (npx) — team wikis, brand guidelines

  CMS — content management and publishing
  -----------------------------------------------------------
  [connected]  Webflow (HTTP) — added by user to .mcp.json
  [available]  WordPress (npx) — needs WORDPRESS_SITE_URL, WORDPRESS_AUTH_TOKEN

  ... (remaining categories from script output)
===========================================================

A fresh install typically shows 0-2 connected. That is normal and expected — connectors are opt-in.

Step 3: Highlight Quick Wins

From the connectors the script reports as not configured, recommend the top 3 by workflow impact:

Notion — powers the most skills (content intake, brand docs, briefs, audits)
Google Sheets — batch requirement intake, analytics tracking
CMS (Webflow or WordPress) — end-to-end publish workflow
Design (Canva or Figma) — featured images and social graphics
SEO (Ahrefs) — real keyword data for briefs and audits

For each quick win, show: what it unlocks (from script JSON), setup route (/contentforge:cf-connect <name>), and effort (HTTP = one .mcp.json entry + OAuth on first use; npx = env vars + entry, Claude Code only).

Step 4: Show Coverage Summary

Render the script's summary block verbatim (total, connected, available, coverage percent) plus which categories have zero configured connectors.

Step 5: Provide Next Steps

  1. Connect your top quick win:      /contentforge:cf-connect <name>
  2. Setup guide for any connector:   /contentforge:cf-connect <name>
  3. Custom service not in registry:  /contentforge:cf-add-integration
  4. Full connector reference:        CONNECTORS.md and .mcp.json.connectors-reference

Transport Types

Transport	Setup Effort	Environment	Authentication
HTTP	Low — one `.mcp.json` entry (user-added)	Cowork + Claude Code	OAuth prompt on first use
npx	Moderate — env vars + `.mcp.json` entry	Claude Code only	API keys via environment variables

HTTP connectors work in both Cowork and Claude Code once the user adds them to .mcp.json (or connects them at the platform level in Cowork Settings → Integrations). npx connectors require local Node.js and work in Claude Code only. Use /contentforge:cf-connect <name> for step-by-step setup of either type.

Troubleshooting

"0 connectors connected" on a fresh install

This is the expected shipped state — .mcp.json starts empty. Use /contentforge:cf-connect <name> to add your first connector.

Dashboard shows an HTTP connector as "available" after you added it

The key name in .mcp.json must match the registry name exactly (e.g., notion, not Notion or notion-mcp)
Confirm .mcp.json is in the plugin root and contains valid JSON with a mcpServers object
Restart the session after editing .mcp.json

npx connector shows "not connected" even though env vars are set

Variables must be set in the shell session that launched Claude Code
Verify with echo $VARIABLE_NAME (should not be empty); on Windows restart the terminal after setting

Dashboard takes a long time

The script reads .mcp.json and environment variables only — no network calls. If slow, check for filesystem issues.

Agent Used

None. This skill is entirely script-driven using scripts/connector-status.py.

/contentforge:cf-connect — Guided setup for a specific connector
/contentforge:cf-add-integration — Connect services not in the registry
/contentforge:create-content — Main content production pipeline
/contentforge:batch-process — Sequential, checkpointed batch processing

Script: python scripts/connector-status.py --action status Network Required: No (reads local config only)

Quelle ansehen ↗

Dateimetadaten

name: cf-integrations
description: "Render a live integration status dashboard for ContentForge — configured vs available MCP connectors grouped by category, coverage totals, and the top 3 quick-win connectors to add next, all taken from scripts/connector-status.py output. Triggers on \"/contentforge:cf-integrations\", \"what integrations are connected\", \"show connector status\", \"why can't a skill reach my CMS\", \"which connectors should I set up next\". Reads .mcp.json and environment variables only — no network calls, no agent; it reports status but does not configure anything. Pairs with /contentforge:cf-connect for guided setup and /contentforge:cf-add-integration for services outside the registry."
effort: low
argument-hint: "[--category <name>]"

Originaltext anzeigen

---
name: cf-integrations
description: "Render a live integration status dashboard for ContentForge — configured vs available MCP connectors grouped by category, coverage totals, and the top 3 quick-win connectors to add next, all taken from scripts/connector-status.py output. Triggers on \"/contentforge:cf-integrations\", \"what integrations are connected\", \"show connector status\", \"why can't a skill reach my CMS\", \"which connectors should I set up next\". Reads .mcp.json and environment variables only — no network calls, no agent; it reports status but does not configure anything. Pairs with /contentforge:cf-connect for guided setup and /contentforge:cf-add-integration for services outside the registry."
effort: low
argument-hint: "[--category <name>]"
---

# /contentforge:cf-integrations — Integration Status Dashboard

Show the complete integration status for your ContentForge installation — configured vs available connectors, grouped by category, with workflow impact analysis and quick-win recommendations.

## The ground truth about connectors

ContentForge ships with an **empty `.mcp.json`** (`"mcpServers": {}`) by design (v3.9.0 Cowork-safety decision). On a fresh install, expect **0 connectors configured** (or 1-2 if the platform injects its own integrations). Nothing is pre-wired.

**Every number in the dashboard must come from the live script output.** Never render counts, percentages, or connected/available labels that are not present in the JSON returned by `scripts/connector-status.py`. Do not copy numbers from the example in this file.

## When to Use

Use `/contentforge:cf-integrations` when:
- You just installed ContentForge and want to see what's connected
- You're troubleshooting why a skill can't reach an external service
- You want to know which connectors to add next for maximum workflow coverage
- You need a quick overview before onboarding a new team member
- You're planning which integrations to set up for a new project

## What This Command Does

1. **Scan All Connectors** — Run the status script; it checks the connector registry against your `.mcp.json` and environment variables
2. **Build Status Dashboard** — Group results by category with clear configured/available distinction
3. **Calculate Coverage** — Report exactly the totals the script returns
4. **Recommend Quick Wins** — Highlight the top 3 not-yet-configured connectors by workflow impact
5. **Surface Category Gaps** — Identify categories with zero coverage
6. **Provide Next Steps** — For each recommendation, point to `/contentforge:cf-connect <name>`

## Required Inputs

**Optional:**
- **Category filter** — Show only a specific category (e.g., `--category=seo`)
- **Show filter** — `connected`, `available`, or `all` (default: `all`)

## What Happens

### Step 1: Connector Status Check

```
python scripts/connector-status.py --action status
```

This checks:
- `.mcp.json` for HTTP connector entries the user has added
- Environment variables for npx connectors (WordPress, Google Sheets, Semrush, DeepL, etc.)
- Returns JSON with configured/available status per connector, grouped by category, plus summary totals

### Step 2: Format Dashboard by Category

Render the script JSON as a category-grouped dashboard. Each category shows the category name and description, connectors marked `[connected]` or `[available]`, transport type, and the skills each connector unlocks — all taken from the JSON.

**SYNTHETIC EXAMPLE — fabricated for illustration. Always render your actual script output, never this block:**

```
===========================================================
  ContentForge Integration Dashboard
  Connected: 1 of 22 (5%)
===========================================================

  KNOWLEDGE BASE — requirements, brand docs, reference material
  -----------------------------------------------------------
  [available]  Notion (HTTP) — content requirements, brand docs, editorial calendars
  [available]  Confluence (npx) — team wikis, brand guidelines

  CMS — content management and publishing
  -----------------------------------------------------------
  [connected]  Webflow (HTTP) — added by user to .mcp.json
  [available]  WordPress (npx) — needs WORDPRESS_SITE_URL, WORDPRESS_AUTH_TOKEN

  ... (remaining categories from script output)
===========================================================
```

A fresh install typically shows 0-2 connected. That is normal and expected — connectors are opt-in.

### Step 3: Highlight Quick Wins

From the connectors the script reports as *not configured*, recommend the top 3 by workflow impact:

1. **Notion** — powers the most skills (content intake, brand docs, briefs, audits)
2. **Google Sheets** — batch requirement intake, analytics tracking
3. **CMS (Webflow or WordPress)** — end-to-end publish workflow
4. **Design (Canva or Figma)** — featured images and social graphics
5. **SEO (Ahrefs)** — real keyword data for briefs and audits

For each quick win, show: what it unlocks (from script JSON), setup route (`/contentforge:cf-connect <name>`), and effort (HTTP = one `.mcp.json` entry + OAuth on first use; npx = env vars + entry, Claude Code only).

### Step 4: Show Coverage Summary

Render the script's summary block verbatim (total, connected, available, coverage percent) plus which categories have zero configured connectors.

### Step 5: Provide Next Steps

```
  1. Connect your top quick win:      /contentforge:cf-connect <name>
  2. Setup guide for any connector:   /contentforge:cf-connect <name>
  3. Custom service not in registry:  /contentforge:cf-add-integration
  4. Full connector reference:        CONNECTORS.md and .mcp.json.connectors-reference
```

## Transport Types

| Transport | Setup Effort | Environment | Authentication |
|-----------|-------------|-------------|---------------|
| **HTTP** | Low — one `.mcp.json` entry (user-added) | Cowork + Claude Code | OAuth prompt on first use |
| **npx** | Moderate — env vars + `.mcp.json` entry | Claude Code only | API keys via environment variables |

HTTP connectors work in both Cowork and Claude Code once the user adds them to `.mcp.json` (or connects them at the platform level in Cowork Settings → Integrations). npx connectors require local Node.js and work in Claude Code only. Use `/contentforge:cf-connect <name>` for step-by-step setup of either type.

## Troubleshooting

### "0 connectors connected" on a fresh install
- This is the expected shipped state — `.mcp.json` starts empty. Use `/contentforge:cf-connect <name>` to add your first connector.

### Dashboard shows an HTTP connector as "available" after you added it
- The key name in `.mcp.json` must match the registry name exactly (e.g., `notion`, not `Notion` or `notion-mcp`)
- Confirm `.mcp.json` is in the plugin root and contains valid JSON with a `mcpServers` object
- Restart the session after editing `.mcp.json`

### npx connector shows "not connected" even though env vars are set
- Variables must be set in the shell session that launched Claude Code
- Verify with `echo $VARIABLE_NAME` (should not be empty); on Windows restart the terminal after setting

### Dashboard takes a long time
- The script reads `.mcp.json` and environment variables only — no network calls. If slow, check for filesystem issues.

## Agent Used

None. This skill is entirely script-driven using `scripts/connector-status.py`.

## Related Skills

- **[/contentforge:cf-connect](../cf-connect/SKILL.md)** — Guided setup for a specific connector
- **[/contentforge:cf-add-integration](../cf-add-integration/SKILL.md)** — Connect services not in the registry
- **[/contentforge:create-content](../../commands/create-content.md)** — Main content production pipeline
- **[/contentforge:batch-process](../batch-process/SKILL.md)** — Sequential, checkpointed batch processing

---

**Script:** `python scripts/connector-status.py --action status`
**Network Required:** No (reads local config only)

Quelle prüfen

Preis und Betriebskosten

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Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: MIT
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Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

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Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
KI-Prüffreigabe fehlt
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 28 GitHub stars
Stars/forks activity: 28 stars, 5 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

ErfasstStatisch geprüft

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: indranilbanerjee/contentforge
Lizenz: MIT
Version: Unknown
Letzter GitHub-Push: 17. Aug. 2026
Verzeichnis aktualisiert: 12. Sept. 2026
Anleitungspfad: skills/cf-integrations/SKILL.md @ 5f40253ff3a6

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

53/100

Prüfung nötig

Vertrauen

59/100

Do not auto-install

Audit

69/100

Prüfung nötig

Vollständiges Audit öffnen Eval-Bericht ansehen

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
KI-Prüffreigabe fehlt
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 28 GitHub stars
Stars/forks activity: 28 stars, 5 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
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Weitere Details

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      "repository": "https://github.com/indranilbanerjee/contentforge/tree/master/skills/cf-integrations",
      "install": "npx skills add indranilbanerjee/contentforge --skill cf-integrations",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "design-creative",
      "agent-skill"
    ],
    "known_risks": [
      "AI review approval is missing",
      "Low GitHub adoption signal",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 28 GitHub stars",
      "Stars/forks activity: 28 stars, 5 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 69,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Low GitHub adoption signal",
      "AI review approval is missing",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 28 GitHub stars",
      "Stars/forks activity: 28 stars, 5 forks; issue activity unavailable in current metadata"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 53,
    "label": "Needs review"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "AI review approval is missing",
    "Quality score needs review"
  ],
  "agent_contract": {
    "task_input": "Use cf-integrations in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 67/100 Manual review",
      "Audit: 69/100 Needs review",
      "Safety: 29/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "indranilbanerjee-cf-integrations (cf-integrations)",
      "install_command": "npx skills add indranilbanerjee/contentforge --skill cf-integrations",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "indranilbanerjee-cf-integrations",
      "task": "Use cf-integrations in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/indranilbanerjee-cf-integrations",
    "api": "https://www.openagentskill.com/api/agent/skills/indranilbanerjee-cf-integrations",
    "audit": "https://www.openagentskill.com/skills/indranilbanerjee-cf-integrations/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=indranilbanerjee-cf-integrations&task=Use%20cf-integrations%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20cf-integrations%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20cf-integrations%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/indranilbanerjee-cf-integrations/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/indranilbanerjee-cf-integrations"
  }
}

Für Ersteller

Quelle des Eintrags

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Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: indranilbanerjee
Quelle: indranilbanerjee/contentforge
Indexiert von: OpenAgentSkill Community-Index

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