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 fw-ai/cookbook --skill fireworks-traininggit clone --depth 1 https://github.com/fw-ai/cookbookWrote 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/fw-ai/cookbook/fireworks-training)<a href="https://agentmods.dev/skills/fw-ai/cookbook/fireworks-training"><img src="https://agentmods.dev/badge/skills/fw-ai/cookbook/fireworks-training/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/fw-ai/cookbook/fireworks-training"><img src="https://agentmods.dev/badge/skills/fw-ai/cookbook/fireworks-training.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00067 | $0.00207 |
| Opus 5 | $0.00034 | $0.00103 |
| Sonnet 5 | $0.00013 | $0.00041 |
| Haiku 4.5 | $0.00007 | $0.00021 |
Grade A, and why
fireworks-training 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 2d 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
Fireworks training
This workflow is split into three focused skills:
| Goal | Skill |
|---|---|
| Choose method, data, evaluation, and cookbook entry | research |
| Plan, run, monitor, deploy, or resume training | configure |
| Diagnose a failed, stuck, or low-quality run | debug |
Do not execute a training workflow from this file. Route to the matching skill.
This directory also carries shared detailed references used by configure and
debug. Cursor and Codex installs must include fireworks-training alongside
the three entry skills.
What ships with it
34 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.
- references/async-rl-metrics.md 11 KB
- references/choose-method.md 13 KB
- references/deploy-and-troubleshoot.md 9.1 KB
- references/error-reference.md 12 KB
- references/getting-started.md 6.0 KB
- references/managed-rft-operations.md 5.4 KB
- references/models-shapes-and-cost.md 6.2 KB
- references/preference-data-and-evaluators.md 7.2 KB
- references/renderer-verification.md 11 KB
- references/renderer.md 9.4 KB
- references/rft-agent-tracing.md 3.6 KB
- references/rl-agentic.md 18 KB
- references/rl-async.md 18 KB
- references/rl-concurrency.md 3.8 KB
- references/rl-custom-loss.md 6.5 KB
- references/rl-dynamic-filter.md 1.3 KB
- references/rl-gradient-accumulation.md 2.4 KB
- references/rl-hotload.md 19 KB
- references/rl-loss-paths.md 3.7 KB
- references/rl-sampling-timeouts.md 6.0 KB
- references/run-state-and-reporting.md 8.9 KB
- references/sdk-checkpoints.md 12 KB
- references/sdk-distillation.md 7.4 KB
- references/sdk-examples.md 1.7 KB
- references/sdk-migrate.md 7.2 KB
- references/sdk-recipes.md 5.2 KB
- references/sdk-setup.md 2.0 KB
- references/sdk-shapes.md 4.1 KB
- references/sdk-tools.md 7.7 KB
- references/secure-training-operations.md 4.0 KB
- references/telemetry-notice.md 1012 B
- references/telemetry.md 4.0 KB
- references/training-api-losses.md 4.6 KB
- references/training-api.md 13 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.
- 2d ago Changed · -441 lines · -99 tokens per session 5e5f7bc14ddb
- 12d ago First seen · 467 lines · 166 tokens per session scan A 908c63377202
fireworks-training is a skill published in the GitHub repository fw-ai/cookbook (205 stars, last pushed today), licensed Apache-2.0. It adds 67 tokens to every session and 207 once invoked, about $0.0003 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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