hdhr-doctor

hdhr-doctor is a skill for Claude Code, Codex from Knuckles-Team/hdhomerun-mcp. It costs 154 tokens per session (1,370 once invoked), scanned A, original, MIT.

A health-check tool for HDHomeRun, a network TV tuner, and its connection to Jellyfin, a media-server application. It checks device status, tuners, channels, authentication, and discovery data.

In plain words
What is it for?
Use it before connecting a tuner to Jellyfin, or when checking device reachability, firmware, tuner counts, signal strength, authentication, or cached discovery information.
Why use it?
It helps identify why live TV or recordings are not working and gives a concrete next action for failed or incomplete checks.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it before connecting a tuner to Jellyfin, or when checking device reachability, firmware, tuner counts, signal strength, authentication, or cached discovery information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/knuckles-team/hdhomerun-mcp/hdhr-doctor
Install

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.

Any agent
npx skills add Knuckles-Team/hdhomerun-mcp --skill hdhr-doctor
Clone the repo
git clone --depth 1 https://github.com/Knuckles-Team/hdhomerun-mcp

Made for: Claude Code, Codex.

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 hdhr-doctor

README.md
[![agentmods](https://agentmods.dev/badge/skills/knuckles-team/hdhomerun-mcp/hdhr-doctor/github.svg)](https://agentmods.dev/skills/knuckles-team/hdhomerun-mcp/hdhr-doctor)
Your own site
<a href="https://agentmods.dev/skills/knuckles-team/hdhomerun-mcp/hdhr-doctor"><img src="https://agentmods.dev/badge/skills/knuckles-team/hdhomerun-mcp/hdhr-doctor/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.

agentmods 80×15 button for hdhr-doctor

Your own site · 80×15
<a href="https://agentmods.dev/skills/knuckles-team/hdhomerun-mcp/hdhr-doctor"><img src="https://agentmods.dev/badge/skills/knuckles-team/hdhomerun-mcp/hdhr-doctor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,370 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 $0.00154 $0.01370
Opus 5 $0.00077 $0.00685
Sonnet 5 $0.00031 $0.00274
Haiku 4.5 $0.00015 $0.00137

Measured 12d ago against content hash 25a66b0c3f38, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hdhr-doctor 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 12d 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.

hdhomerun_mcp/skills/hdhr-doctor/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HDHomeRun Doctor

A single diagnostic sweep over an HDHomeRun deployment, matching this fleet's "doctor" pattern (e.g. container-manager-mcp's cm_doctor). Every check reports pass/fail/warn/skip plus an action (a concrete next step) on anything short of a clean pass.

When to use

  • "Live TV isn't working" / "why are recordings missing" style troubleshooting.
  • Before wiring a tuner into Jellyfin — confirm the device itself is healthy first.
  • Producing a status report on an existing deployment (e.g. for a recurring check).

When NOT to use

  • Routine channel scan / lineup / tuning operations — this skill only reads status, it never scans/tunes except the opt-in signal_strength check (which briefly retunes and releases a tuner). Use hdhr-http-api-ops / hdhr-tuner-control for the operations themselves.
  • Recording-rule management → hdhr-dvr-ops.

Prerequisites & environment

Connect via the mcp-client skill against the hdhomerun-mcp MCP server.

Variable Required Notes
HDHOMERUN_URL Device to diagnose
HDHOMERUN_DEVICE_AUTH optional Enables deeper device_auth cloud validation
DOCTORTOOL optional Toggle this tool domain (default enabled)

Tools & actions

Condensed tool Actions
doctor_operations run (full suite, recommended), or a single check: device_reachable, firmware_model, tuner_count_vs_jellyfin, signal_strength, device_auth, cache_freshness

Checks performed by run

  1. device_reachableGET discover.json succeeds.
  2. firmware_model — reports ModelNumber/FirmwareName/FirmwareVersion; warns if either field is missing (very old/legacy firmware).
  3. tuner_count_vs_jellyfin — compares the device's TunerCount to a paired Jellyfin TunerHost entry matched by DeviceId; skipped (not failed) when no jellyfin_url/jellyfin_api_key is supplied.
  4. signal_strength — for each requested channel: briefly tunes it, reads ss/snq/seq via the control protocol, then releases the tuner; warns on ss < 40. Skipped when no channels are requested (it is invasive — it uses a tuner — so it is opt-in).
  5. device_auth — DeviceAuth present in discover.json; optionally validated live against the cloud recording-rules API.
  6. discovery_cache_freshness — age of ~/.config/agent-utilities/hdhomerun_discovery_cache.json; warns past 24h.

Read the full file on GitHub · 108 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. 12d ago First seen · 108 lines · 154 tokens per session scan A 25a66b0c3f38

Subscribe to this mod's changes

hdhr-doctor is a skill published in the GitHub repository Knuckles-Team/hdhomerun-mcp (0 stars, last pushed 15d ago), licensed MIT. It adds 154 tokens to every session and 1,370 once invoked, about $0.0008 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.

Related

Other skills, from other repositories

preset-health

Nested swiss-knife reference for saved-preset health checks. Read this when the human asks whether saved presets still work, which preset is expired or misconfigured, why system(action="presets") shows a bad connectivity status, or for a safe procedure to enumerate saved presets, classify each failure (expired key…

Lingtai-AI/lingtai · 129 tokens

meraki-monitoring

Cisco Meraki monitoring and diagnostics (read-only) — device availability, loss and latency history, uplink status, live tool results, configuration change log, API request analytics via Cisco's official Meraki MCP. Use when checking Meraki device health, investigating uplink loss, or reviewing recent configuration…

automateyournetwork/netclaw · 65 tokens

janitor-device

Diagnose and fix slow Mac or Windows performance. Use this skill whenever the user says their computer, laptop, Mac, MacBook, PC, or Windows machine is slow, sluggish, laggy, freezing, stuttering, overheating, beachballing, hanging, or whenever the fans are spinning loudly. Also trigger when the user asks to "clean…

ArshiaEcho/janitor · 194 tokens

ha-diagnostics-augment

Enriches an existing Home Assistant Custom Integration's diagnostics beyond the scaffold baseline, conforming to spec/ha/diagnostics. Creates or edits diagnostics.py with asyncgetconfigentrydiagnostics (and optional asyncgetdevicediagnostics) returning structured dicts, and routes every…

nolte/claude-home-assistant · 199 tokens

env-doctor

A diagnostic tool for checking a development environment, including runtimes, ports, and service health.

chainlesschain/chainlesschain · 24 tokens

hermes-system-monitor

Use when running Hermes system health checks.

frgmstr/hermes-manager · 13 tokens