Borrowing it
Nothing to install: this file belongs to Aviator-Coding/home-ops. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Aviator-Coding/home-ops/main/.agents/skills/tdarr-transcoding/SKILL.mdgit clone --depth 1 https://github.com/Aviator-Coding/home-opsWrote 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/aviator-coding/home-ops/tdarr-transcoding)<a href="https://agentmods.dev/skills/aviator-coding/home-ops/tdarr-transcoding"><img src="https://agentmods.dev/badge/skills/aviator-coding/home-ops/tdarr-transcoding/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/aviator-coding/home-ops/tdarr-transcoding"><img src="https://agentmods.dev/badge/skills/aviator-coding/home-ops/tdarr-transcoding.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 | $0.00063 | $0.01003 |
| Opus 5.5 | $0.00025 | $0.00401 |
| Sonnet 5.5 | $0.00013 | $0.00201 |
| Haiku 4.5 | $0.00006 | $0.00100 |
Grade A, and why
tdarr-transcoding 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 23d 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tdarr libraries, flows and flow nodes
The HelmRelease owns the container, the devic.es/b70-vaapi device, worker
counts and the node memory limit. What gets transcoded, and how, lives in
Tdarr's SQLite database on the tdarr-config PVC. A rebuild of that volume
reverts those rows to defaults while the pod stays green.
Tripwires
librariesToNotProcessis not a scope boundary. It is a Tdarr Pro feature. This install has no licence, so the check never runs. Scope is the library toggleprocessTranscodes. mechanisms.md- A
customFunctionnode readsinputsDB.code. A node whose key isfunctionruns Tdarr's default stub, which returnsoutputNumber: 1unconditionally, prints your source in the job report, and reports no error. Confirm a guard by a string only its code can emit. mechanisms.md - Never enable
forceConformonSet Container. It setsstream.removedonmov_textand other non-mkv codecs and deletes those tracks in place. Convertmov_texttosrt. mechanisms.md - Never set
transcodecpuWorkersto 0. A GPU-only node turns a VA-API failure into a total outage (PR #1443). A 4Klibsvtav1job at the node's 4Gi limit OOM-kills the container, so the flow routes 4K work toav1_qsv. mechanisms.md - Dolby Vision on 4K is an open captain choice.
e_dv_bypassstill encodes DV files.av1_qsvdrops the RPU; the encoder that keeps it is the one the 4K guard refuses. Do not close that edge while editing the flow. masters.md - Never bulk-requeue. Tdarr rewrites the source in place. The flow
restore input is
docs/tdarr/flow-movies_av1_nvenc_v1.after.json, never abefore.json. Node sources underdocs/tdarr/flow-nodes/are not restore inputs. Do not edit that directory; CI byte-checks it.
Where things live
| What | Path |
|---|---|
| Server and node | kubernetes/apps/base/media/tdarr/app/helmrelease.yaml |
| Human rebuild runbook | docs/tdarr/README.md |
| Flow restore document | docs/tdarr/flow-movies_av1_nvenc_v1.after.json |
| Node sources and harness | docs/tdarr/flow-nodes/ (do not edit the harness) |
| Parked masters and the DV choice | masters.md and docs/tdarr-errored-remuxes.md |
| VA-API check | skill intel-gpu, vaapi-check.md |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 23d ago Changed 5f4bbc06c7e8
- 25d ago Changed · +46 lines dc9f4e43b2b8
- 1mo ago First seen · 18 lines · 63 tokens per session scan A 39485cf7dd0e
tdarr-transcoding is a skill published in the GitHub repository Aviator-Coding/home-ops (3 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 1,003 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-04.
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