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 TransluceAI/claude-code-plugins --skill fxtrgit clone --depth 1 https://github.com/TransluceAI/claude-code-pluginsWrote 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/transluceai/claude-code-plugins/fxtr)<a href="https://agentmods.dev/skills/transluceai/claude-code-plugins/fxtr"><img src="https://agentmods.dev/badge/skills/transluceai/claude-code-plugins/fxtr/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/transluceai/claude-code-plugins/fxtr"><img src="https://agentmods.dev/badge/skills/transluceai/claude-code-plugins/fxtr.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 | $0.00126 | $0.02216 |
| Opus 5.5 | $0.00050 | $0.00886 |
| Sonnet 5.5 | $0.00025 | $0.00443 |
| Haiku 4.5 | $0.00013 | $0.00222 |
Grade A, and why
fxtr 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 6d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fxtr
fxtr runs experiments as durable, inspectable DAGs. An experiment is Python code in a fxtr project: steps do the computation, and workflows schedule steps over arrays with named dimensions. A launch runs a workflow as a job on the project's Postgres database, which caches every step's result, and the experiment viewer shows the job's DAG and data through the project's renderers.
The pages below are fxtr's documentation, grouped by the part of the work they cover. Read the ones a task needs before writing code. Core concepts shows how the parts fit together, and its glossary defines the terms the pages use.
Where to read
Setting up a project
Installing fxtr, and a project's configuration, dependencies, and database.
| Task | Read |
|---|---|
| Start a project, or change its configuration, dependencies, or database | Installation, Project configuration |
Writing experiments
Steps and workflows, the arrays they compute over, and the records they store. A new experiment usually means reading Workflows and steps and Arrays and parallel computations.
| Task | Read |
|---|---|
| Guide someone new to fxtr through designing and running their first experiment | the adjacent first-experiment skill |
| Write or change steps and workflows: signatures, determinism, hermeticity, failures | Workflows and steps |
| Shape data and sweeps: arrays, handles, mapping, alignment, reductions, replicas | Arrays and parallel computations |
| Filter, select, aggregate, or join arrays, or write SQL over them, in a workflow or a step | Array queries |
| Define records: entities or structs, configurations, verdicts, reports | Entities and custom types |
| Import external datasets, pass configuration, and store entities | Importing external datasets |
| Call a language model, hold a conversation, or judge outputs | the adjacent behaviors skill |
What ships with it
18 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.
- provenance.json 313 B
- references/concepts/arrays-and-parallel-computations.mdx 23 KB
- references/concepts/entities-and-custom-types.mdx 9.5 KB
- references/concepts/managing-the-step-cache.mdx 14 KB
- references/concepts/overview.mdx 7.0 KB
- references/concepts/visualization-and-custom-renderers.mdx 6.0 KB
- references/concepts/workflows-and-steps.mdx 19 KB
- references/first-experiment.mdx 43 KB
- references/guides/designing-views.mdx 20 KB
- references/guides/importing-external-datasets.mdx 5.6 KB
- references/guides/running-and-viewing-jobs.mdx 12 KB
- references/INDEX.md 2.7 KB
- references/index.mdx 6.0 KB
- references/installation.mdx 6.8 KB
- references/reference/array-queries.mdx 24 KB
- references/reference/cli.mdx 6.2 KB
- references/reference/project-configuration.mdx 6.6 KB
- references/reference/renderers.mdx 25 KB
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.
- 6d ago Changed · +5 lines 3a5f22cae93e
- 8d ago First seen · 134 lines · 126 tokens per session scan A 8d7ad7d2e020
fxtr is a skill published in the GitHub repository TransluceAI/claude-code-plugins (7 stars, last pushed 6d ago), licensed Apache-2.0. It adds 126 tokens to every session and 2,216 once invoked, about $0.0005 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 2026-10-06.
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