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.
curl -O https://raw.githubusercontent.com/SensorsIot/Embedded-AI-Harness/main/.claude/skills/testbench-install/SKILL.mdgit clone --depth 1 https://github.com/SensorsIot/Embedded-AI-HarnessWrote 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/sensorsiot/embedded-ai-harness/testbench-install)<a href="https://agentmods.dev/skills/sensorsiot/embedded-ai-harness/testbench-install"><img src="https://agentmods.dev/badge/skills/sensorsiot/embedded-ai-harness/testbench-install/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/sensorsiot/embedded-ai-harness/testbench-install"><img src="https://agentmods.dev/badge/skills/sensorsiot/embedded-ai-harness/testbench-install.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
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 →
- high Tool Misuse · line 107 Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
- medium Privilege Escalation · line 23 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Privilege Escalation · line 32 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Privilege Escalation · line 71 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Privilege Escalation · line 107 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Rogue Agent · line 39 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00000 | $0.02052 |
| Opus 5.5 | $0.00000 | $0.00821 |
| Sonnet 5.5 | $0.00000 | $0.00410 |
| Haiku 4.5 | $0.00000 | $0.00205 |
Grade B, and why
testbench-install scanned grade B with 2 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 2mo 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
| Bench works, want the latest code + no system changes | `sudo bash install.sh --update` | Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
finished; `curl /api/info` is the only proof. How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setting up and deploying the testbench
The one fact that explains most confusion: the service runs from
/usr/local/bin/, not from the git checkout. Editing files in the repo on the
Pi — or on your laptop — changes nothing until they are copied across and the
service is restarted. Every "my fix didn't work" report traces back to this.
Full operator procedure lives in
docs/Harness-User-Manual.md
§2. This skill is the working procedure plus the things that only bite when you
actually do it.
Pick the operation
| Situation | Do this |
|---|---|
| New Pi, blank SD card | Fresh install below |
| Bench works, want the latest code + no system changes | sudo bash install.sh --update |
| Changed one module, want it live now | Single-file deploy below |
Changed a config default in pi/config/ |
Fresh-install path won't overwrite it — see Config files are never overwritten |
Fresh install
git clone https://github.com/SensorsIot/Embedded-AI-Harness.git
cd Embedded-AI-Harness/pi
sudo bash install.sh
install.sh is idempotent and does eight things: apt packages, standing down
the services it manages dynamically (hostapd is masked; dnsmasq and
mosquitto are disabled — the portal starts them itself, so leaving them
enabled fights it), directories, the Python modules into /usr/local/bin/,
helper scripts, config defaults, systemd + udev rules, then enable and start.
It fetches openocd-esp32 from GitHub releases and installs it as
/usr/local/bin/openocd-esp32, alongside — not replacing — Debian's openocd.
It runs under set -e, and the script copy comes before systemd and udev. So
a single missing file aborts the install after the packages are in but before the
service exists, and the output ends on a bare cp: cannot stat with no summary.
Read the last line rather than assuming a long successful-looking log means it
finished; curl /api/info is the only proof.
The API contract is FSD Appendix D. Every endpoint the bench serves is listed there with its request and response shape. Read it rather than the portal source: the source has carried a dead duplicate handler whose documented form the live one rejects, so guessing from code has already cost a debugging cycle.
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.
- 2mo ago First seen · 178 lines · 0 tokens per session scan B 6c9bcf6a4bfa
testbench-install is a skill published in the GitHub repository SensorsIot/Embedded-AI-Harness (273 stars, last pushed 20d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,052 tokens. A static security scan graded it B with 2 findings (asks for root, 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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