Atlas / Skills / jeremylongshore / Klingai Common Errors

Klingai Common ErrorsSAFE

skills/jeremylongshore/klingai-common-errors

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.18.0
Hosts
1 documented
License
MIT
Stars
2,824
01

Overview

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Read from source at commit 4f83675ca38aOBSERVED · 2026-10-09
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: klingai-common-errors
description: 'Diagnose and fix common Kling AI API errors. Use when troubleshooting
  failed video generation

  or API issues. Trigger with phrases like ''kling ai error'', ''klingai not working'',
  ''fix klingai'',

  ''klingai failed''.

  '
allowed-tools: Read, Write, Edit, Bash(npm:*), Grep
version: 1.18.0
license: MIT
author: Jeremy Longshore <[email protected]>
tags:
- saas
- kling-ai
- debugging
- errors
compatibility: Designed for Claude Code
---
# Kling AI Common Errors

## Overview

Complete error reference for the Kling AI API. Covers HTTP status codes, task-level failures, JWT issues, and generation-specific problems with tested solutions.

## HTTP Error Codes

| Code | Error | Cause | Solution |
|------|-------|-------|----------|
| `400` | Bad Request | Invalid parameters, malformed JSON | Validate all required fields; check `model_name` is valid |
| `401` | Unauthorized | Invalid/expired JWT token | Regenerate JWT; verify AK/SK; check `exp` claim |
| `402` | Payment Required | Insufficient credits | Top up API resource pack or subscription |
| `403` | Forbidden | Content policy violation or API disabled | Review prompt against content policy; enable API access |
| `404` | Not Found | Invalid task_id or wrong endpoint | Verify task_id; check endpoint path spelling |
| `429` | Too Many Requests | Rate limit exceeded | Implement exponential backoff (see pattern below) |
| `500` | Internal Server Error | Kling platform issue | Retry after 30s; if persistent, check status page |
| `502` | Bad Gateway | Upstream service unavailable | Retry with backoff; typically transient |
| `503` | Service Unavailable | System maintenance | Wait and retry; check announcements |

## Task-Level Failures

When HTTP returns `200` but `task_status` is `"failed"`:

| `task_status_msg` | Cause | Solution |
|-------------------|-------|----------|
| Content policy violation | Prompt contains restricted content | Remove violent, adult, or copyrighted references |
| Image quality too low | Source image is blurry or too small | Use image >= 300x300px, clear and sharp |
| Prompt too complex | Too many scene elements | Simplify to 1-2 subjects, clear action |
| Generation timeout | Internal processing exceeded limit | Retry; reduce duration from 10s to 5s |
| Invalid image format | Unsupported file type | Use JPG, PNG, or WebP |
| Mask dimension mismatch | Mask size differs from source | Ensure mask matches source image dimensions exactly |

## JWT Authentication Errors

### Problem: `401` on every request

```python
# WRONG — missing headers parameter
token = jwt.encode(payload, sk, algorithm="HS256")

# CORRECT — include explicit headers
token = jwt.encode(payload, sk, algorithm="HS256",
                   headers={"alg": "HS256", "typ": "JWT"})
```

### Problem: Token works then fails after 30 min

```python
# WRONG — token generated once at import time
TOKEN = generate_token()

# CORRECT — refresh before expiry
class TokenManager:
    def __init__(self, ak, sk):
        self.ak, self.sk = ak, sk
        self._token = None
        self._exp = 0

    @property
    def token(self):
        if time.time() >= self._exp - 300:  # 5 min buffer
            payload = {"iss": self.ak, "exp": int(time.time()) + 1800,
                       "nbf": int(time.time()) - 5}
            self._token = jwt.encode(payload, self.sk, algorithm="HS256",
                                     headers={"alg": "HS256", "typ": "JWT"})
            self._exp = int(time.time()) + 1800
        return self._token
```

## Rate Limit Handling

```python
import time
import requests

def request_with_backoff(method, url, headers, json=None, max_retries=5):
    """Retry with exponential backoff on 429 and 5xx errors."""
    for attempt in range(max_retries):
        response = method(url, headers=headers, json=json)

        if response.status_code == 429:
            retry_after = int(response.headers.get("Retry-After", 2 ** attempt))
            print(f"Rate limited. Retrying in {retry_after}s...")
            time.sleep(retry_after)
            continue
        elif response.status_code >= 500:
            wait = 2 ** attempt
            print(f"Server error {response.status_code}. Retrying in {wait}s...")
            time.sleep(wait)
            continue

        response.raise_for_status()
        return response

    raise RuntimeError(f"Max retries ({max_retries}) exceeded")
```

## Diagnostic Checklist

When a generation fails, check in order:

1. **Auth valid?** — Test with a simple GET request first
2. **Credits available?** — Check balance in developer console
3. **Model valid?** — Verify `model_name` matches catalog exactly
4. **Parameters valid?** — `duration` must be `"5"` or `"10"` (string, not int)
5. **Prompt clean?** — Remove special characters, keep under 2500 chars
6. **Image accessible?** — For I2V, verify image URL is publicly accessible
7. **Feature exclusivity?** — `image_tail`, `dynamic_masks`, and `camera_control` are mutually exclusive

## Debug Logging

```python
import logging

logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger("kling")

def debug_request(method, url, headers, json=None):
    """Log request/response for debugging."""
    logger.debug(f"→ {method.__name__.upper()} {url}")
    logger.debug(f"→ Body: {json}")
    r = method(url, headers=headers, json=json)
    logger.debug(f"← Status: {r.status_code}")
    logger.debug(f"← Body: {r.text[:500]}")
    return r
```

## Prerequisites

- A sandbox workspace, synthetic or rights-cleared diagnostic brief, secret references, approved scope, redaction rules, draft-only destination, and incident owner.

## Instructions

1. Reproduce errors with sandbox fixtures only; do not log authorization headers, prompts, source assets, response bodies, or generated asset URLs.
2. Capture aggregate status, error class, credit use, policy/rights outcome, and task state while verifying redaction and retention contr
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-09 · audit v0.4.1 · source sha 4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__klingai-common-errors.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-094f83675ca38aSAFEB89first audit
06

Questions

What does the Klingai Common Errors skill do?

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Is Klingai Common Errors safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Klingai Common Errors access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Klingai Common Errors work with?

Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (4f83675ca38a), read on 2026-10-09. The repository is watched, and a new audit runs when it changes — this is the first audit.

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