Registry indexed

rw-check-org-details

Query the Runway API for organization details: rate limits, credit balance, usage tier, and daily generation counts

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Price unconfirmed★ 74 GitHub starsRegistry updated · Oct 17, 2026agent-skill

Overview

Query the Runway API for organization details: rate limits, credit balance, usage tier, and daily generation counts

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Check Organization Details

Prerequisite: RUNWAYML_API_SECRET must be available to the server-side process. Never print or paste its value.

Query the Runway API to retrieve the user's organization details — credit balance, usage tier, rate limits, current daily generation counts, and historical credit usage.

Step 1: Verify API Key Is Available

Before making any requests, confirm the API key is accessible:

Check whether the project loads RUNWAYML_API_SECRET from its server-side environment.
Or check the current shell without printing the value: test -n "$RUNWAYML_API_SECRET".

If the key is not found, ask the user to create one in Runway Developer Portal settings and add it to the server-side environment, then stop.

Step 2: Query Organization Info

Call GET /v1/organization to retrieve the org's tier, credit balance, and current usage.

Node.js

import RunwayML from '@runwayml/sdk';

const client = new RunwayML();
const details = await client.organization.retrieve();
console.log(JSON.stringify(details, null, 2));

Python

from runwayml import RunwayML

client = RunwayML()
details = client.organization.retrieve()
print(details)

cURL / fetch (no SDK)

curl -s https://api.dev.runwayml.com/v1/organization \
  -H "Authorization: Bearer $RUNWAYML_API_SECRET" \
  -H "X-Runway-Version: 2024-11-06" | python3 -m json.tool

Response Shape

{
  "tier": {
    "maxMonthlyCreditSpend": 10000,
    "models": {
      "gen4.5": {
        "maxConcurrentGenerations": 2,
        "maxDailyGenerations": 200
      }
    }
  },
  "creditBalance": 5000,
  "usage": {
    "models": {
      "gen4.5": {
        "dailyGenerations": 12
      }
    }
  }
}

Step 3: Present the Results

Format the output as a clear summary for the user:

## Organization Overview

**Credit Balance:** X credits ($X.XX at $0.01/credit)
**Monthly Spend Cap:** X credits

### Rate Limits (by model)

| Model | Concurrency | Daily Limit | Used Today | Remaining |
|-------|-------------|-------------|------------|-----------|
| gen4.5 | 2 | 200 | 12 | 188 |
| veo3.1 | 2 | 100 | 5 | 95 |
| ... | ... | ... | ... | ... |

Key things to highlight:

Credit balance — convert to dollar value (credits × $0.01)
Per-model daily limits — show how many generations remain today (rolling 24-hour window)
Concurrency — how many tasks can run simultaneously per model
Monthly cap — the max credit spend per month for their tier

Step 4 (Optional): Query Credit Usage History

If the user wants to see historical usage, call POST /v1/organization/usage.

Node.js

const usage = await client.organization.retrieveUsage({
  startDate: '2026-02-15',   // ISO-8601, up to 90 days back
  beforeDate: '2026-03-17'   // exclusive end date
});
console.log(JSON.stringify(usage, null, 2));

Python

usage = client.organization.retrieve_usage(
    start_date="2026-02-15",
    before_date="2026-03-17"
)
print(usage)

cURL / fetch (no SDK)

curl -s -X POST https://api.dev.runwayml.com/v1/organization/usage \
  -H "Authorization: Bearer $RUNWAYML_API_SECRET" \
  -H "X-Runway-Version: 2024-11-06" \
  -H "Content-Type: application/json" \
  -d '{"startDate": "2026-02-15", "beforeDate": "2026-03-17"}' \
  | python3 -m json.tool

Response Shape

{
  "results": [
    {
      "date": "2026-03-16",
      "usedCredits": [
        { "model": "gen4.5", "amount": 120 },
        { "model": "veo3.1", "amount": 400 }
      ]
    }
  ],
  "models": ["gen4.5", "veo3.1"]
}

Present this as a usage breakdown:

### Credit Usage (Feb 15 – Mar 17)

| Date | Model | Credits Used |
|------|-------|-------------|
| 2026-03-16 | gen4.5 | 120 |
| 2026-03-16 | veo3.1 | 400 |
| ... | ... | ... |

**Total:** X credits

Tier Reference

If the user asks about upgrading, share the tier breakdown:

Tier	Concurrency	Daily Gens	Monthly Cap	Unlock Requirement
1 (default)	1–2	50–200	$100	—
2	3	500–1,000	$500	1 day + $50 spent
3	5	1,000–2,000	$2,000	7 days + $100 spent
4	10	5,000–10,000	$20,000	14 days + $1,000 spent
5	20	25,000–30,000	$100,000	7 days + $5,000 spent

Tiers upgrade automatically once the spend and time requirements are met.

Troubleshooting

Issue	Cause	Fix
`401 Unauthorized`	Invalid or missing API key	Replace `RUNWAYML_API_SECRET` with a valid Developer Portal key
`creditBalance` is 0	No credits purchased	Purchase at https://dev.runwayml.com/ → Billing (min $10)
Daily limit reached	Rolling 24-hour quota exhausted	Wait for the window to reset, or upgrade tier
All models show 0 daily limit	Tier 1 restrictions	Check that credits have been purchased

View source ↗

File metadata

name: rw-check-org-details
description: "Query the Runway API for organization details: rate limits, credit balance, usage tier, and daily generation counts"
user-invocable: true
allowed-tools: Read, Grep, Glob, Bash(node *), Bash(python3 *), Bash(curl *)

View original text

---
name: rw-check-org-details
description: "Query the Runway API for organization details: rate limits, credit balance, usage tier, and daily generation counts"
user-invocable: true
allowed-tools: Read, Grep, Glob, Bash(node *), Bash(python3 *), Bash(curl *)
---

# Check Organization Details

> **Prerequisite:** `RUNWAYML_API_SECRET` must be available to the server-side process. Never print or paste its value.

Query the Runway API to retrieve the user's organization details — credit balance, usage tier, rate limits, current daily generation counts, and historical credit usage.

## Step 1: Verify API Key Is Available

Before making any requests, confirm the API key is accessible:

1. Check whether the project loads `RUNWAYML_API_SECRET` from its server-side environment.
2. Or check the current shell without printing the value: `test -n "$RUNWAYML_API_SECRET"`.

If the key is not found, ask the user to create one in Runway Developer Portal settings and add it to the server-side environment, then stop.

## Step 2: Query Organization Info

Call `GET /v1/organization` to retrieve the org's tier, credit balance, and current usage.

### Node.js

```javascript
import RunwayML from '@runwayml/sdk';

const client = new RunwayML();
const details = await client.organization.retrieve();
console.log(JSON.stringify(details, null, 2));
```

### Python

```python
from runwayml import RunwayML

client = RunwayML()
details = client.organization.retrieve()
print(details)
```

### cURL / fetch (no SDK)

```bash
curl -s https://api.dev.runwayml.com/v1/organization \
  -H "Authorization: Bearer $RUNWAYML_API_SECRET" \
  -H "X-Runway-Version: 2024-11-06" | python3 -m json.tool
```

### Response Shape

```json
{
  "tier": {
    "maxMonthlyCreditSpend": 10000,
    "models": {
      "gen4.5": {
        "maxConcurrentGenerations": 2,
        "maxDailyGenerations": 200
      }
    }
  },
  "creditBalance": 5000,
  "usage": {
    "models": {
      "gen4.5": {
        "dailyGenerations": 12
      }
    }
  }
}
```

## Step 3: Present the Results

Format the output as a clear summary for the user:

```
## Organization Overview

**Credit Balance:** X credits ($X.XX at $0.01/credit)
**Monthly Spend Cap:** X credits

### Rate Limits (by model)

| Model | Concurrency | Daily Limit | Used Today | Remaining |
|-------|-------------|-------------|------------|-----------|
| gen4.5 | 2 | 200 | 12 | 188 |
| veo3.1 | 2 | 100 | 5 | 95 |
| ... | ... | ... | ... | ... |
```

Key things to highlight:
- **Credit balance** — convert to dollar value (`credits × $0.01`)
- **Per-model daily limits** — show how many generations remain today (rolling 24-hour window)
- **Concurrency** — how many tasks can run simultaneously per model
- **Monthly cap** — the max credit spend per month for their tier

## Step 4 (Optional): Query Credit Usage History

If the user wants to see historical usage, call `POST /v1/organization/usage`.

### Node.js

```javascript
const usage = await client.organization.retrieveUsage({
  startDate: '2026-02-15',   // ISO-8601, up to 90 days back
  beforeDate: '2026-03-17'   // exclusive end date
});
console.log(JSON.stringify(usage, null, 2));
```

### Python

```python
usage = client.organization.retrieve_usage(
    start_date="2026-02-15",
    before_date="2026-03-17"
)
print(usage)
```

### cURL / fetch (no SDK)

```bash
curl -s -X POST https://api.dev.runwayml.com/v1/organization/usage \
  -H "Authorization: Bearer $RUNWAYML_API_SECRET" \
  -H "X-Runway-Version: 2024-11-06" \
  -H "Content-Type: application/json" \
  -d '{"startDate": "2026-02-15", "beforeDate": "2026-03-17"}' \
  | python3 -m json.tool
```

### Response Shape

```json
{
  "results": [
    {
      "date": "2026-03-16",
      "usedCredits": [
        { "model": "gen4.5", "amount": 120 },
        { "model": "veo3.1", "amount": 400 }
      ]
    }
  ],
  "models": ["gen4.5", "veo3.1"]
}
```

Present this as a usage breakdown:

```
### Credit Usage (Feb 15 – Mar 17)

| Date | Model | Credits Used |
|------|-------|-------------|
| 2026-03-16 | gen4.5 | 120 |
| 2026-03-16 | veo3.1 | 400 |
| ... | ... | ... |

**Total:** X credits
```

## Tier Reference

If the user asks about upgrading, share the tier breakdown:

| Tier | Concurrency | Daily Gens | Monthly Cap | Unlock Requirement |
|------|-------------|------------|-------------|---------------------|
| 1 (default) | 1–2 | 50–200 | $100 | — |
| 2 | 3 | 500–1,000 | $500 | 1 day + $50 spent |
| 3 | 5 | 1,000–2,000 | $2,000 | 7 days + $100 spent |
| 4 | 10 | 5,000–10,000 | $20,000 | 14 days + $1,000 spent |
| 5 | 20 | 25,000–30,000 | $100,000 | 7 days + $5,000 spent |

Tiers upgrade automatically once the spend and time requirements are met.

## Troubleshooting

| Issue | Cause | Fix |
|-------|-------|-----|
| `401 Unauthorized` | Invalid or missing API key | Replace `RUNWAYML_API_SECRET` with a valid Developer Portal key |
| `creditBalance` is 0 | No credits purchased | Purchase at https://dev.runwayml.com/ → Billing (min $10) |
| Daily limit reached | Rolling 24-hour quota exhausted | Wait for the window to reset, or upgrade tier |
| All models show 0 daily limit | Tier 1 restrictions | Check that credits have been purchased |

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Price & running costs

Get the skill: Price unconfirmed
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License: MIT
Price unconfirmed: We have not confirmed a price for this skill. Existing source and install links remain available.

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Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 74 GitHub stars
Stars/forks activity: 74 stars, 18 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

Open full audit

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Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

IndexedAI Reviewed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: runwayml/skills
License: MIT
Version: Unknown
Last GitHub push: Oct 16, 2026
Registry updated: Oct 17, 2026
Instruction path: legacy/skills/rw-check-org-details/SKILL.md @ 4d6c53d40cc2

Version reported in registry metadata; check source releases before relying on it.

Quality

66/100

Promising

Trust

64/100

Sandbox only

Audit

77/100

Needs review

Open full audit View eval report

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 74 GitHub stars
Stars/forks activity: 74 stars, 18 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

Verified installs: —
Outcomes: —

Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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      },
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      },
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      "license": "MIT",
      "repository": "https://github.com/runwayml/skills/tree/main/legacy/skills/rw-check-org-details",
      "install": "npx skills add runwayml/skills --skill rw-check-org-details",
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      "GitHub adoption: 74 GitHub stars",
      "Stars/forks activity: 74 stars, 18 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"
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    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Quality score needs review",
    "Permission surface needs review: secrets or environment access, shell or command execution"
  ],
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    "minimum_review_before_use": [
      "Trust: 72/100 Strong shortlist",
      "Audit: 77/100 Needs review",
      "Safety: 37/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "runwayml-rw-check-org-details (rw-check-org-details)",
      "install_command": "npx skills add runwayml/skills --skill rw-check-org-details",
      "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": "runwayml-rw-check-org-details",
      "task": "Use rw-check-org-details 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/runwayml-rw-check-org-details",
    "api": "https://www.openagentskill.com/api/agent/skills/runwayml-rw-check-org-details",
    "audit": "https://www.openagentskill.com/skills/runwayml-rw-check-org-details/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=runwayml-rw-check-org-details&task=Use%20rw-check-org-details%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20rw-check-org-details%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20rw-check-org-details%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/runwayml-rw-check-org-details/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/runwayml-rw-check-org-details"
  }
}

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Creator: runwayml
Source: runwayml/skills
Indexed by: OpenAgentSkill community index

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/runwayml-rw-check-org-details?metric=listed&label=Listed)](https://www.openagentskill.com/skills/runwayml-rw-check-org-details?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/runwayml-rw-check-org-details?metric=trust&label=Trust)](https://www.openagentskill.com/skills/runwayml-rw-check-org-details?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/runwayml-rw-check-org-details?metric=audit&label=Audit)](https://www.openagentskill.com/skills/runwayml-rw-check-org-details/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/runwayml-rw-check-org-details?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/runwayml-rw-check-org-details?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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