home-ops: Skill for Claude Code

.claude/skills/tdarr-transcoding/SKILL.md

tdarr-transcoding is a skill for Claude Code from Aviator-Coding/home-ops. It costs 63 tokens per session (1,200 once invoked), scanned A, original, MIT.

A set of project-specific instructions for Tdarr, a system that processes and converts media files. It covers libraries, schedules, processing nodes, conversion flows, and output settings.

In plain words
What is it for?
Use it when changing Tdarr processing rules, schedules, conversion flows, encoder options, or subtitle handling.
Why use it?
It helps prevent files from being processed by the wrong node or library and supports investigation of failed conversions or missing subtitles.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions AGENTS.md.

This is Aviator-Coding/home-ops's own configuration. It tells Claude Code how to work on home-ops itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything home-ops configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/Aviator-Coding/home-ops/main/.claude/skills/tdarr-transcoding/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Aviator-Coding/home-ops

Made for: Claude Code.

Wrote 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.

agentmods badge for tdarr-transcoding

README.md
[![agentmods](https://agentmods.dev/badge/skills/aviator-coding/home-ops/tdarr-transcoding.svg)](https://agentmods.dev/skills/aviator-coding/home-ops/tdarr-transcoding)
Your own site
<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="Measured on agentmods" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,200 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.01200
Opus 5 $0.00032 $0.00600
Sonnet 5 $0.00013 $0.00240
Haiku 4.5 $0.00006 $0.00120

Measured 3d ago against content hash 39485cf7dd0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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 3d 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.

.claude/skills/tdarr-transcoding/SKILL.md · 18 lines

How it starts

The opening of the file, as written. The whole thing — 18 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tdarr libraries, flows and flow nodes

Relocated verbatim from AGENTS.md on 2026-09-01 so it loads only when this subsystem is in play. The text below is unchanged; only line breaks were inserted. AGENTS.md keeps a one-sentence pointer. Add new findings here or to the owning document, not back into AGENTS.md - see its "Maintaining this file" section for the rule.

  • Tdarr's librariesToNotProcess is a Tdarr Pro feature and is a silent no-op on this unlicensed install - never use it as a scope boundary. It is stored in NodeJSONDB, rendered in the UI and returned by GET /api/v2/get-nodes, so it looks live; talos-3 carried it for Series and still transcoded a TV-Shows file on 2026-08-31. Both queue readers gate it on auth (getQueuedFiles.js: if (auth && librariesToNotProcess.length > 0); getStagedFiles.js: the same conjunction), and auth is authStatus(false) from Tdarr_Server/srcug/server/auth.js, which is a licence check that POSTs tdarrKey to tdarr.io - not a login. tdarrKey is empty here and POST /api/v2/auth-status {"data":{"saU":false}} returns false, which is the exact call the dispatcher makes. This also refutes any "the server pushes work past a node-side accept filter" theory: get-new-task is a node poll (the Server relay sending job to Node relay: <node> line is the reply), and there is no node-side accept filter at all. What does hold, with no auth check anywhere in qb/qbUtils.js + plugins/queueQueryFuncs.js, is the library-level toggles - processLibrary, processTranscodes, processHealthChecks and the per-hour schedule - which build the db NOT IN (...) clause for table1. Series is scoped out with processTranscodes: false (2026-08-31), which leaves health checks and scanning on. Proof method, and why the same file is simultaneously accepted by table4 and refused by table1: docs/tdarr-errored-remuxes.md §1.

  • A Tdarr flow's customFunction node reads args.inputs.code; a node whose inputsDB key is function silently runs Tdarr's default stub, which returns outputNumber: 1 unconditionally. lib.loadDefaultValues fills the missing code with the built-in example, so the node is green, the job report even prints your real source (under "function", next to the stub under "code"), and nothing anywhere reports an error. All five customFunction nodes in movies_av1_nvenc_v1 were in this state - including the three guards that were supposed to reject a bad encode before Replace Original File - so every transcode replaced its source with zero verification, across all 6514 job reports. Confirm execution behaviourally, never by reading the flow: grep a job report for a string only your code can emit (Size check: <digit>), or check that a node returned an output number the stub cannot produce. Fixed by rekeying to code; mechanism, evidence and the still-open e_dv_bypass / br_*_bypass edges that make the DV and bitrate checks inert: docs/tdarr-errored-remuxes.md §2 and §3.6. Reviewable node sources and a read-only unit harness that runs them against the parked masters' real ffProbeData are in docs/tdarr/flow-nodes/.

  • Never enable forceConform on Tdarr's Set Container node - it deletes streams rather than converting them. ffmpegCommandSetContainer/1.0.0/index.js sets stream.removed = true for mov_text/eia_608/timed_id3/data when targeting mkv, which on the parked 4K masters is 1-46 subtitle tracks destroyed per file in an irreversible in-place rewrite, with no guard in the flow noticing. The supported path is to convert: a customFunction between Set Container and Set Video Encoder that pushes ['-c:{outputIndex}', 'srt'] onto each mov_text stream's outputArgs, and marks removed only for data/bin_data and zero-dimension mjpeg cover art (the separate cause of Amelie's dimensions not set). Encoder-specific output arguments have the same shape of trap: -preset medium/-global_quality/-look_ahead are av1_qsv-only and made libsvtav1 fail at init on 88/88 CPU jobs, so cargs* now reads back the chosen encoder from the video stream's outputArgs and branches. Both proven live: docs/tdarr-errored-remuxes.md §3.

Read the full file on GitHub · 18 lines

Changes

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.

  1. 3d ago First seen · 18 lines · 63 tokens per session scan A 39485cf7dd0e

Subscribe to this mod's changes

tdarr-transcoding is a skill published in the GitHub repository Aviator-Coding/home-ops (2 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 1,200 once invoked, about $0.0003 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 2026-09-04.

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