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 x3allamerican/skills --skill samsara-vs-motive-vs-geotab-comparisongit clone --depth 1 https://github.com/x3allamerican/skillsWrote 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/x3allamerican/skills/samsara-vs-motive-vs-geotab-comparison)<a href="https://agentmods.dev/skills/x3allamerican/skills/samsara-vs-motive-vs-geotab-comparison"><img src="https://agentmods.dev/badge/skills/x3allamerican/skills/samsara-vs-motive-vs-geotab-comparison/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/x3allamerican/skills/samsara-vs-motive-vs-geotab-comparison"><img src="https://agentmods.dev/badge/skills/x3allamerican/skills/samsara-vs-motive-vs-geotab-comparison.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 | $0.00080 | $0.01782 |
| Opus 5.5 | $0.00032 | $0.00713 |
| Sonnet 5.5 | $0.00016 | $0.00356 |
| Haiku 4.5 | $0.00008 | $0.00178 |
Grade A, and why
samsara-vs-motive-vs-geotab-comparison 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 1mo 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Samsara vs Motive vs Geotab — ELD/Telematics Comparison
These three vendors dominate the U.S. commercial fleet telematics market. Each is FMCSA-registered as an ELD provider and offers fleet management beyond compliance. Choice affects 5–7 years of operating workflow.
High-level positioning
| Vendor | Sweet spot | Pricing tier |
|---|---|---|
| Samsara | Mid-to-large fleets, integrated AI dashcam + safety | Premium |
| Motive | Small-to-mid fleets, all-in-one with strong dashcam | Mid |
| Geotab | Mixed fleets, vehicle-data depth, custom integrations | Variable (MarketPlace add-ons) |
ELD compliance (table stakes — all three pass)
All three are FMCSA-registered ELDs, log driver duty status, auto-record drive time at 5+ mph, support driver edits with annotations, transfer data to inspectors via email/web service.
Differentiators in ELD experience:
- Samsara: Best driver app polish, easiest unidentified-drive resolution
- Motive: Easiest co-driver swap, strong personal-conveyance handling
- Geotab: Robust ELD core, less polished driver UX
AI dashcam
| Feature | Samsara | Motive | Geotab |
|---|---|---|---|
| Forward-facing camera | Standard | Standard | Standard (3rd-party SureCam, Lytx integration) |
| Driver-facing camera | Optional | Optional | Optional |
| AI event detection (harsh brake, follow distance, distraction) | Excellent | Excellent | Variable (depends on add-on) |
| Coaching workflow | In-app driver coaching cards | In-app + scorecard | Geotab + 3rd-party UI |
| Video upload (cellular) | Auto-flag → review queue | Auto-flag → review queue | Add-on dependent |
| Driver-side replay (right-to-view) | Yes | Yes | Add-on dependent |
Samsara and Motive AI dashcam are roughly equivalent at this point — both detect distraction, drowsiness, phone use, smoking, following distance, harsh braking, harsh cornering. Geotab requires third-party integration for AI dashcam.
Driver scoring
| Metric weighting | Samsara | Motive | Geotab |
|---|---|---|---|
| Speeding | Yes | Yes | Yes |
| Harsh brake / accel | Yes | Yes | Yes |
| Following distance (AI) | Yes | Yes | Add-on |
| Distraction (AI) | Yes | Yes | Add-on |
| Seat belt | Yes | Yes | Yes (engine data) |
| Fuel economy (idle) | Yes | Yes | Yes |
| Customizable thresholds | Yes (good) | Yes (good) | Yes (best — fully programmable) |
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.
- 1mo ago First seen · 153 lines · 80 tokens per session scan A 094d85e16d19
samsara-vs-motive-vs-geotab-comparison is a skill published in the GitHub repository x3allamerican/skills (3 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 80 tokens to every session and 1,782 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
oma-scholar
Search academic literature and generate, validate, or compare Knows paper sidecars. Use for claim/evidence analysis and literature synthesis.
pkf-writing
Author, update, convert, validate, persist, and render PKF (.pkf) content through message-inline, Library Asset, or Memory Page carriers. Use for structured reports, knowledge pages, delivery cards, or any .pkf body. NOT for recall, memory-graph placement, or curation decisions — those belong to the memory skill.
data-charts-tako
Search and visualize the world's data - get charts, insights, and embeddable knowledge cards for finance, economics, demographics, sports, and more.
monorepo-management
Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.
render-airdrop-carousel
Assemble a viral iOS "AirDrop" notification-carousel video ad (≈6–8s, 9:16) from a brand line plus 6–16 real product photos — a native AirDrop share-sheet card ("Brand would like to share a · Decline / Accept") springs up and its preview window CYCLES through the products, landing on a range/lineup payoff with an…
cometchat-android-v6-builder-settings
The CometChat Android v6 settings and session API reference — the assets/cometchat-settings.json file that initFromSettings reads (appId, region, credentials, uiKit toggles), the legacy UIKitSettings builder, and the CometChatUIKit session methods (login, loginWithAuthToken, logout, getLoggedInUser, createUser). Use…