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/torchedhat/torchtalk/torchtalk-analyzernpx skills add TorchedHat/torchtalk --skill torchtalk-analyzergit clone --depth 1 https://github.com/TorchedHat/torchtalkWrote 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/torchedhat/torchtalk/torchtalk-analyzer)<a href="https://agentmods.dev/skills/torchedhat/torchtalk/torchtalk-analyzer"><img src="https://agentmods.dev/badge/skills/torchedhat/torchtalk/torchtalk-analyzer.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 | $0.00086 | $0.00687 |
| Opus 5 | $0.00043 | $0.00344 |
| Sonnet 5 | $0.00017 | $0.00137 |
| Haiku 4.5 | $0.00009 | $0.00069 |
Grade A, and why
torchtalk-analyzer 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 5d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TorchTalk PyTorch Analyzer
When to Use
- "How does torch.X work internally?"
- "Where is X implemented?" (Python/C++/CUDA)
- "What would break if I change X?"
- "How does nn.Linear connect to native code?"
- "Find tests for the softmax operator"
Quick Start
get_status() # Check what's loaded and available
Tools
| Tool | Use For |
|---|---|
trace(name, focus?) |
Trace any PyTorch op: Python → YAML → C++ → file:line |
search(query, mode?, backend?) |
mode="bindings": find dispatch registrations. mode="kernels": find CUDA kernel launches |
graph(name, mode?, depth?, fuzzy_all_levels?, walk_python?, focus?) |
mode="callers": inbound. mode="calls": outbound. mode="impact": transitive callers (depth/walk_python/focus apply to impact only) |
modules(name, mode?, focus?) |
mode="trace": class details (focus="full" adds bases/docstring). mode="list": browse by category ("nn", "optim", "all") |
tests(query?, mode?, limit?, focus?) |
mode="find": search tests (focus narrows to functions/classes/files). mode="utils": list utilities (query/focus ignored). mode="file_info": test file details |
affected(funcs, depth?) |
Map changed C++ functions (comma-separated) to impacted Python test files |
Common Workflows
"How does torch.matmul work?"
trace("matmul") # Get binding chain
graph("matmul", mode="calls") # See internal dependencies
"What breaks if I modify GEMM?"
graph("gemm", mode="impact", depth=4)
"Where is conv2d for CUDA?"
search("conv2d", backend="CUDA")
trace("conv2d", focus="dispatch")
"How does nn.Linear work?"
modules("Linear") # Python class details
trace("linear") # Underlying ATen op
"Find tests for softmax"
tests("softmax")
Requirements
- Always available: trace, search, modules, tests
- Requires PyTorch build: graph (needs
compile_commands.json)
Run get_status() to check availability.
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.
- 5d ago First seen · 70 lines · 86 tokens per session scan A 8896db3cb517
torchtalk-analyzer is a skill published in the GitHub repository TorchedHat/torchtalk (11 stars, last pushed 3d ago), licensed MIT. It adds 86 tokens to every session and 687 once invoked, about $0.0004 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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