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tensorflow-keras

tensorflow-keras is a skill for Kiro from ihatesea69/kiro-kit. It costs 33 tokens per session (295 once invoked), scanned A, original, MIT.

A guide for building and training machine-learning models with TensorFlow and Keras, including data pipelines and model deployment.

In plain words
What is it for?
Use it for production ML models, tf.data input pipelines, pre-trained models, TensorFlow Serving, and converting models for edge devices.
Why use it?
It helps structure the work from preparing data and training models to checking performance and serving them in production.

Skill for Kiro

Written for Kiro: installed under .kiro/.

not rated 19repo 2mo ago A scan SkillSpector: pass 33 tokens original MIT

Good fit Use it for production ML models, tf.data input pipelines, pre-trained models, TensorFlow Serving, and converting models for edge devices.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ihatesea69/kiro-kit/tensorflow-keras
View source ↗ ihatesea69/kiro-kit ihatesea69.github.io
Install

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.

Any agent
npx skills add ihatesea69/kiro-kit --skill tensorflow-keras
Clone the repo
git clone --depth 1 https://github.com/ihatesea69/kiro-kit

Made for: Kiro.

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 tensorflow-keras

README.md
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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.

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Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 295 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00033 $0.00295
Opus 5.5 $0.00013 $0.00118
Sonnet 5.5 $0.00007 $0.00059
Haiku 4.5 $0.00003 $0.00030

Measured 2mo ago against content hash 1e4e80cae09f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tensorflow-keras 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 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.

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.

.kiro/skills/tensorflow-keras/SKILL.md · 55 lines

What it actually says

TensorFlow / Keras

Activate this skill when building models with TensorFlow or Keras.

When to Use

  • Building production-ready ML models
  • Implementing efficient data pipelines with tf.data
  • Deploying models with TensorFlow Serving
  • Using pre-trained models from TF Hub
  • Converting models to TFLite for edge deployment

Patterns

import tensorflow as tf
from tensorflow import keras

model = keras.Sequential([
    keras.layers.Dense(128, activation="relu"),
    keras.layers.Dropout(0.3),
    keras.layers.Dense(num_classes, activation="softmax"),
])

model.compile(
    optimizer=keras.optimizers.Adam(1e-3),
    loss="sparse_categorical_crossentropy",
    metrics=["accuracy"],
)

model.fit(
    train_ds,
    validation_data=val_ds,
    epochs=50,
    callbacks=[
        keras.callbacks.EarlyStopping(patience=5),
        keras.callbacks.ModelCheckpoint("best_model.keras"),
    ],
)

Rules

  • Use tf.data for efficient input pipelines
  • Prefer Keras API over raw TF ops
  • Enable mixed precision for GPU training
  • Use callbacks for checkpointing and early stopping
  • Profile with TensorBoard before optimizing
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. 2mo ago First seen · 55 lines · 33 tokens per session scan A 1e4e80cae09f

Subscribe to this mod's changes

tensorflow-keras is a skill published in the GitHub repository ihatesea69/kiro-kit (19 stars, last pushed 2mo ago), licensed MIT. It adds 33 tokens to every session and 295 once invoked, about $0.0001 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.

Data and AILanguagesPythonai-agentsai-sdlcclideveloper-toolskirokiro-ide
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