Tunarr creates custom live TV channels from movies, shows, music videos, and other media stored in Plex, Jellyfin, Emby, or local files. Self-hosters use it to schedule channel lineups and stream them through IPTV players, media servers, browsers, or a spoofed HDHomeRun tuner. Catalogue add-ons operate Tunarr’s channel and streaming workflows.
Borrowing it
Nothing to install: this file belongs to chrisbenincasa/tunarr. 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/chrisbenincasa/tunarr/main/.claude/skills/investigate-issue/SKILL.mdgit clone --depth 1 https://github.com/chrisbenincasa/tunarrWrote 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/chrisbenincasa/tunarr/investigate-issue)<a href="https://agentmods.dev/skills/chrisbenincasa/tunarr/investigate-issue"><img src="https://agentmods.dev/badge/skills/chrisbenincasa/tunarr/investigate-issue/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/chrisbenincasa/tunarr/investigate-issue"><img src="https://agentmods.dev/badge/skills/chrisbenincasa/tunarr/investigate-issue.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 | $0.00149 | $0.01480 |
| Opus 5.5 | $0.00060 | $0.00592 |
| Sonnet 5.5 | $0.00030 | $0.00296 |
| Haiku 4.5 | $0.00015 | $0.00148 |
Grade A, and why
investigate-issue 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 17d 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.
The source is not reproduced here
Licensed Zlib
The repository is licensed Zlib, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 17d ago First seen · 112 lines · 149 tokens per session scan A 2e6d2b7aa4de
investigate-issue is a skill published in the GitHub repository chrisbenincasa/tunarr (2,684 stars, last pushed today), licensed Zlib. It adds 149 tokens to every session and 1,480 once invoked, about $0.0006 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 2026-10-12.
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