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 nolte/claude-home-assistant --skill ha-helper-scaffoldgit clone --depth 1 https://github.com/nolte/claude-home-assistantWrote 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/nolte/claude-home-assistant/ha-helper-scaffold)<a href="https://agentmods.dev/skills/nolte/claude-home-assistant/ha-helper-scaffold"><img src="https://agentmods.dev/badge/skills/nolte/claude-home-assistant/ha-helper-scaffold/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/nolte/claude-home-assistant/ha-helper-scaffold"><img src="https://agentmods.dev/badge/skills/nolte/claude-home-assistant/ha-helper-scaffold.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 | $0.00207 | $0.02018 |
| Opus 5 | $0.00103 | $0.01009 |
| Sonnet 5 | $0.00041 | $0.00404 |
| Haiku 4.5 | $0.00021 | $0.00202 |
Grade A, and why
ha-helper-scaffold 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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HA Helper Scaffold
Spec: spec/claude/ha-helper-scaffold/en.md (EN canonical) / spec/claude/ha-helper-scaffold/de.md (DE translation).
Why this is a skill, not an agent
- Human-visible scaffolding surface — the user describes what state they need held and reads back the YAML block plus the helper's read/mutate surface; a skill keeps this on the visible command surface, like the sibling scaffold skills.
- Mid-flow interactivity — helper-type confirmation and the measured-value redirect are per-run dialogues the user approves before scaffolding.
- Bounded, inline generation — a single helper block is small enough to generate inline; no isolated agent context is needed.
- Counter-dimension considered: a one-shot generator could be an agent, but the type decision and the reported surface belong in the user's working context; skill wins.
When this skill activates
Use this skill to scaffold one stateful helper entity from a described intent: input_boolean, input_button, input_datetime, input_number, input_select, input_text, counter, timer, or schedule.
When NOT to activate
- an automation, script, scene, template entity, or command integration →
ha-automation-author - a derived/statistical helper sensor (
bayesian,derivative, …utility_meter,group) →ha-derived-sensor-author - a measured value from real hardware → belongs in an integration, not an input helper
- a blueprint →
ha-blueprint-scaffold - deploying/importing into a running HA instance → out of scope
Hard rules
- One helper, one type, one run. No multi-helper batches.
- Intent is mandatory. Without it there is no scaffold; optional fields fall back to documented defaults stated in the output.
- Read the topic spec first. Read the matching
ha-automation/<topic>spec before scaffolding. - Right helper, not the convenient one. If the intent targets a measured value (→ sensor/integration), a derived value (→
ha-derived-sensor-author), or behavior another helper carries better (one-shot press →input_button, notinput_boolean), redirect instead of scaffolding the wrong helper. - Never overwrite an existing helper with the same
object_id. Abort with the id quoted. - Mandatory fields are mandatory.
input_number→min+max;input_select→ non-emptyoptions;input_datetime→ at least one ofhas_date/has_time;input_text→max≤ 255;timer→restore: truewhen it must survive a restart;schedule→ per-weekdayfrom/towindows. Setinitialonly for a fixed start value, else document restore semantics. - Name per
spec/ha/naming-conventions/en.md.object_idsnake_case; English display names ≤ 50 chars. - Verify HA internals against the official docs — don't reproduce schemas from memory (see
spec/ha/upstream-docs-verification/en.md).
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 · 119 lines · 207 tokens per session scan A 642a9610f843
ha-helper-scaffold is a skill published in the GitHub repository nolte/claude-home-assistant (1 stars, last pushed 1mo ago), licensed MIT. It adds 207 tokens to every session and 2,018 once invoked, about $0.0010 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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