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 agentmods add skills/g1joshi/agent-skills/tensorflownpx skills add G1Joshi/Agent-Skills --skill tensorflowgit clone --depth 1 https://github.com/G1Joshi/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/g1joshi/agent-skills/tensorflow)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/tensorflow"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/tensorflow.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.00258 |
| Opus 5 | $0.00008 | $0.00129 |
| Sonnet 5 | $0.00003 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
tensorflow 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 4d 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.
What it actually says
TensorFlow
TensorFlow is Google's mature ML framework. In 2025, it is largely in maintenance mode compared to JAX/PyTorch, but remains specific for TFLite and legacy production.
When to Use
- Mobile (TFLite): Deploying to Android/iOS (though
LiteRTis separating). - Legacy Enterprise: Many Fortune 500s still run TFv2 pipelines.
- TFX: Complex MLOps pipelines.
Core Concepts
SavedModel
The universal serialization format.
TFLite
Optimized runtime for edge devices.
XLA
Accelerated Linear Algebra compiler (now shared with JAX).
Best Practices (2025)
Do:
- Use Keras 3: If you must use generic TensorFlow, use Keras 3 as the interface.
- Migrate to JAX: For new Google-stack research projects.
Don't:
- Don't start new research in TF: Use PyTorch or JAX.
References
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.
- 4d ago First seen · 44 lines · 16 tokens per session scan A 84f658e9c512
tensorflow is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 6mo ago), licensed MIT. It adds 16 tokens to every session and 258 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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Describe the contents of an image file or URL in structured detail.
pake
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ux
LobeHub product design values / principles / checklists. Use whenever the work touches user-interface features or implementation — designing or building any user-facing flow — to get better UX results.
agent-work
Agent Work registry (works / workversions): how agent outputs — github/linear entities, files, documents, tasks — get registered, deduped, and rendered as cards, and how to extend it with a new skill provider, a new shell CLI scanner, or a new Work type.
compose-atoms
Decompose a heavy domain feature into mountable capability atoms. Use when a Viewer/Page/index.tsx owns fetch, filters, mutations, modals, and host integrations together; a visual split still leaves store calls and actions on the page; a portal, embed, share, mobile, or micro-app needs a subset of the same domain; or…
skills-audit
Audit .agents/skills SKILL.md files. Use for recurring checks of duplicate, overlapping, stale, inconsistent, or broken skills and merge/delete candidates.