Embedded-AI-Harness: Skill for Claude Code

.claude/skills/commission/SKILL.md

commission is a skill for Claude Code from SensorsIot/Embedded-AI-Harness. It costs 119 tokens per session (2,255 once invoked), scanned A, original, MIT.

A step in a testing method for proving that a project's test setup works before relying on its results. The testbench is the separate hardware or software setup used to run those tests.

In plain words
What is it for?
Use it to check the project's board, wiring, and connected devices or simulators, then fix testbench problems in the testbench's own project when evidence points there.
Why use it?
It helps distinguish a real product failure from a broken board, connection, simulator, or test setup without making the project test the testbench itself.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is SensorsIot/Embedded-AI-Harness's own configuration. It tells Claude Code how to work on Embedded-AI-Harness 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 Embedded-AI-Harness configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SensorsIot/Embedded-AI-Harness. 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/SensorsIot/Embedded-AI-Harness/main/.claude/skills/commission/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/SensorsIot/Embedded-AI-Harness

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 commission

README.md
[![agentmods](https://agentmods.dev/badge/skills/sensorsiot/embedded-ai-harness/commission/github.svg)](https://agentmods.dev/skills/sensorsiot/embedded-ai-harness/commission)
Your own site
<a href="https://agentmods.dev/skills/sensorsiot/embedded-ai-harness/commission"><img src="https://agentmods.dev/badge/skills/sensorsiot/embedded-ai-harness/commission/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 commission

Your own site · 80×15
<a href="https://agentmods.dev/skills/sensorsiot/embedded-ai-harness/commission"><img src="https://agentmods.dev/badge/skills/sensorsiot/embedded-ai-harness/commission.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,255 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 99
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 $0.00119 $0.02255
Opus 5 $0.00060 $0.01128
Sonnet 5 $0.00024 $0.00451
Haiku 4.5 $0.00012 $0.00226

Measured 10d ago against content hash ade831a58865, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

commission scanned grade A with 1 finding 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 10d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s $WB/api/info # hostname, slots configured/running
.claude/skills/commission/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Commission — Phase 2 door

A door into the Method skill: the driver, the chain, and the dispatch map live in ../build/SKILL.md — read that first. This door exists so the phase can be entered by its own name; the phase itself is always derived from state. If the debugging agenda is already burned down, say so and continue as /build — typing the "wrong" door costs nothing.

The law: no project tests the testbench

A project depends on the testbench's quality; it never proves it. The bench is infrastructure, like the compiler — nobody tests gcc before compiling. Its quality is the testbench repo's own responsibility: its FSD, its suite, its acceptance run. A project consumes the bench's declared capabilities at face value, available: yes as declared.

If DUT testing disproves the bench, fix the bench — but only then. When a red is exonerated of the product by evidence, the bench fault becomes a testbench change request, is fixed at its source, ideally lands as a test in the testbench's own suite, and every future project inherits the fix. Attempting to verify the bench upfront — when nothing yet exists that could expose its errors — buys ceremony, not trust. Real work is the only instrument that finds real bench faults.

What commissioning is, under the law

The debugging agenda (../build/references/test-design.md §5, first question) lists every project-side part that has never been observed doing its job here — whatever its reputation elsewhere:

  • the DUT board itself — this unit, this slot, first flash, first boot
  • project peers and simulators (an M-Bus simulator feeding telegrams)
  • project-specific wiring and its polarity
  • the project firmware's first contact with each path it uses

Until each is seen working, a failing test measures the environment. The testbench's instruments are not on this list.

  • Work the agenda top-down; each item names what proves it. Drive known patterns (0x55 survives inversion detection), make the simulator emit one whole telegram.
  • Agenda items are debugging work, not test cases — they never enter the plan. The separator: does it discharge a requirement, or interrogate the setup? Setup measurements go on the capability, with their consequence ("two bursts in six arrive clean → assert across several cycles").
  • The unproven capability state applies to project-side equipment only — bench-declared capabilities are trusted by the law above.
  • The bring-up work that is a test case (it discharges a requirement about the device) is standard in kind, ordered ahead of the journey.
  • The DUT and testbench are not always powered. An unreachable bench is an unmet precondition — not done with the reason, never failed.
  • The operator's hands are for physical acts — plug, wire, power, swap. Observations belong to instruments. Never design a step where a human reads a measurement by eye. If no instrument can make the observation, that is a testbench change request.

Read the full file on GitHub · 170 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. 10d ago First seen · 170 lines · 119 tokens per session scan A ade831a58865

Subscribe to this mod's changes

commission is a skill published in the GitHub repository SensorsIot/Embedded-AI-Harness (173 stars, last pushed 1mo ago), licensed MIT. It adds 119 tokens to every session and 2,255 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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