Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add TexasInstruments/tinyml-tensorlab/plugin install tinyml-agent-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/texasinstruments/tinyml-tensorlab/setup)<a href="https://agentmods.dev/skills/texasinstruments/tinyml-tensorlab/setup"><img src="https://agentmods.dev/badge/skills/texasinstruments/tinyml-tensorlab/setup/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/texasinstruments/tinyml-tensorlab/setup"><img src="https://agentmods.dev/badge/skills/texasinstruments/tinyml-tensorlab/setup.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 | $0.00000 | $0.03587 |
| Opus 5.5 | $0.00000 | $0.01435 |
| Sonnet 5.5 | $0.00000 | $0.00717 |
| Haiku 4.5 | $0.00000 | $0.00359 |
Grade A, and why
setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TinyML Agent Skill — Setup
Run this once after installing the plugin. Re-run any time you move or reinstall tinyml-modelzoo, or want to change your update mode.
Step 1: Discover script paths
Two separate runner.py files exist — one for this setup skill, one for the main tinyml-workflow-agent skill. Find both:
Main skill scripts (SCRIPTS_DIR) — used for tinyml-modelzoo operations during this session only (not stored in .env):
find ~/.claude -name "runner.py" 2>/dev/null | grep "tinyml-workflow-agent" | head -1
Set SCRIPTS_DIR from result (strip /runner.py, keep the directory).
Setup skill scripts (SETUP_SCRIPTS_DIR) — used only during this setup:
find ~/.claude -name "runner.py" 2>/dev/null | grep "setup/scripts" | head -1
Set SETUP_SCRIPTS_DIR from result (strip /runner.py, keep the directory).
If either is not found, ask the user:
"Where is the tinyml-agent-skills plugin installed?"
Verify both runners exist:
ls "$SCRIPTS_DIR/runner.py"
ls "$SETUP_SCRIPTS_DIR/runner.py"
Step 2: Choose update mode
Ask the user:
"How would you like to manage updates for this skill?
- Pinned — stay on the current version, no automatic updates
- Auto-update — check for newer versions at the start of each session"
NOTE: Current version can be found in plugins/tinyml-agent-skills/.claude-plugin/plugin.json,
Call the setup runner (not the main skill runner) with their choice:
# Pinned:
UPDATE_RESPONSE=$(python3 "$SETUP_SCRIPTS_DIR/runner.py" set_update_mode '{"mode": "pinned"}')
# Auto-update:
UPDATE_RESPONSE=$(python3 "$SETUP_SCRIPTS_DIR/runner.py" set_update_mode '{"mode": "auto"}')
Confirm success: true from UPDATE_RESPONSE before proceeding.
Extract and store for Step 7:
UPDATE_MODE=$(echo "$UPDATE_RESPONSE" | python3 -c "import sys, json; print(json.load(sys.stdin).get('mode'))")
UPDATE_PINNED_VERSION=$(echo "$UPDATE_RESPONSE" | python3 -c "import sys, json; print(json.load(sys.stdin).get('pinned_version') or '')")
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · +132 lines 8ba89f3b13fb
- 2mo ago First seen · 193 lines · 0 tokens per session scan A 766446ab1583
setup is a skill published in the GitHub repository TexasInstruments/tinyml-tensorlab (52 stars, last pushed 1mo ago), licensed BSD-3-Clause. It costs nothing until one of its globs matches a file; then it loads 3,587 tokens. 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 2026-08-30.
setup compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| setupTexasInstruments/tinyml-tensorlab | Skill | 52 | 1mo ago | BSD-3-Clause | A | 0 | Claude Code |
| spark-environment-setupwshobson/agents | Skill | 42k | yesterday | MIT | A | 76 | Claude Code |
| spark-memory-thermal-opswshobson/agents | Skill | 42k | yesterday | MIT | A | 59 | Claude Code |
| spark-training-gotchaswshobson/agents | Skill | 42k | yesterday | MIT | A | 63 | Claude Code |
| inference-serving-llama-cppdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 80 | Claude Code, Codex |
| amc-run-rtsp-calibrationNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 59 | Claude Code, Codex |
| deepstream-generate-pipelineNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 108 | Claude Code |