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Train and fine-tune models on Fireworks from a coding agent. Covers managed SFT, DPO, ORPO, and RFT through firectl; Training API serverless and dedicated workflows; cookbook recipes and custom Python loops; dataset preparation and evaluators; model and shape choice; complete parameter and cost confirmation; monitoring, checkpoints, deployment, resume, teardown, and troubleshooting. Use whenever the user asks to fine-tune, post-train, SFT, DPO, ORPO, RFT, RL, distill, train with custom losses or rollouts, deploy a tuned model, resume a training run, or debug Fireworks training. Also use for implementing or verifying cookbook renderers and for extending custom RL losses; these are progressive references within this single skill, not separate skills.
Claude Skills are markdown + scripts loaded into Claude Code; scanned with the same pipeline.
We found this by crawling public sources and nobody has attested to it. That is how most of the registry gets here, and it is not a mark against the artifact — it only means no authenticated act of publication is on record. An artifact can be the vendor's own and still appear here.
40 critical findings reported by cisco-skill-scanner, agent-audit-kit, 21 of them in the installed artifact. The composite score alone does not reflect this — read the per-scanner reports below.
Claude Skills install to a single target, no runtime picker.
nerlo install -- fireworks-training
Manual alternative: copy the skill folder into ~/.claude/skills/ so Claude Code loads it on next launch.
cp -r -- fireworks-training ~/.claude/skills/
Install respects the composite badge: Clean proceeds, Caution prompts for confirmation, and Flagged is refused. Write operations require an API token.
4 of 11 scanners examined this package. The rest do not apply to it — language, ecosystem and packaging decide which analyzers can say anything, and a scanner that cannot examine an artifact reports nothing rather than passing it.
v2.0.11
464 findings · 123.7s
v0.3.26
48 findings · 59.7s
v0.1.0
19 findings · 28.2s
v0.1.0
9 findings · 28.2s
v1.4.0
None of the entry points this scanner reads were found in this artifact. What each scanner covers
0 findings · 0.2s
vv0.3.2
No Go packages were found in this artifact. What each scanner covers
0 findings · 0.1s
No report in this scan: govulncheck, osv-scanner, trivy, trivy_image, nerlo-multi-source.
1 scan on record. Every scan's full results are retained immutably for 24 months.
| Completed | Composite | Change | Scanners | Status |
|---|---|---|---|---|
| Aug 14, 2026 | Scan Halted | — | agentshield ·n/a: not applicablecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral: completenerlo-install-instruction: completecapslock ·n/a: not applicable | rejected |
Findings in files this artifact installs stand as reported; a model re-read the rest and said which ones it believes are false positives. This is a second opinion published beside the evidence, not a correction to it: the per-scanner reports above are unchanged, every dismissed finding is still listed there at its original severity, and the score and the Flagged badge are computed from those raw severities alone. Nothing below moved them.
This review has not run for this scan yet. It runs once per scan, in the background, and is kept; it appears here when it has. Until then all 540 findings above stand exactly as their scanners reported them, at full severity.