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 skills add egocen-vivideo/vivideo-toolchain --skill troubleshoot-failed-generationsgit clone --depth 1 https://github.com/egocen-vivideo/vivideo-toolchainWrote 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/egocen-vivideo/vivideo-toolchain/troubleshoot-failed-generations)<a href="https://agentmods.dev/skills/egocen-vivideo/vivideo-toolchain/troubleshoot-failed-generations"><img src="https://agentmods.dev/badge/skills/egocen-vivideo/vivideo-toolchain/troubleshoot-failed-generations/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/egocen-vivideo/vivideo-toolchain/troubleshoot-failed-generations"><img src="https://agentmods.dev/badge/skills/egocen-vivideo/vivideo-toolchain/troubleshoot-failed-generations.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 | $0.00044 | $0.00383 |
| Opus 5 | $0.00022 | $0.00192 |
| Sonnet 5 | $0.00009 | $0.00077 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
troubleshoot-failed-generations 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 11d 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.
What it actually says
Troubleshoot failed generations
A video came back status: "failed"
- The render failed server-side.
error.messageexplains why;error.credits_refundedis normallytrue(you weren't charged for a failure). - Recovery: adjust the
prompt(clearer, less ambiguous, policy-safe) and create again. For manual mode, try a differentmodelor lowerresolution/duration. - Don't retry the identical failing request expecting a different result.
A create call returned an error (not a video)
- Read the structured error and follow
handle-limits-and-errors:invalid_request→ fix the field indetails(e.g. an unsupportedresolution—details.allowedlists valid values).unknown_model→ pick a valid id fromlist_models.insufficient_credits/upgrade_required→ route to thelinks.*URL.
A render seems stuck (processing for a long time)
- Use
wait_for_videowith a timeout instead of polling forever. If it times out, the render is genuinely still going — check again later withget_video. - If it never reaches a terminal state after a long time, the API has an internal stuck-render safety net that fails + refunds it; the status will flip to
failedand credits return.
Always
- Keep the
request_idfrom the error for support. - Never claim success until
get_video/wait_for_videoreturnscompleted. - Never expose or log the API key while debugging.
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.
- 11d ago First seen · 27 lines · 44 tokens per session scan A f12831a71009
troubleshoot-failed-generations is a skill published in the GitHub repository egocen-vivideo/vivideo-toolchain (0 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 383 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.
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