Rogue ML Failure Audit Skill — Security skill for Claude Code
General workflow for auditing ML CI failures, experiment regressions, training run failures, golden metric failures, and telemetry-backed ML work-product claims from local repositories, logs, metrics.
How to install Rogue ML Failure Audit Skill
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open rogue-dev-studio/rogue-ml-failure-audit-skill and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Rogue ML Failure Audit Skill does
General workflow for auditing ML CI failures, experiment regressions, training run failures, golden metric failures, and telemetry-backed ML work-product claims from local repositories, logs, metrics, configs, and artifacts. Use when Codex needs to decide whether an ML failure is a model/convergence issue, correctness bug, data/config issue, inf...
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README
rogue-ml-failure-audit-skill
**Rogue Development** skill package for agents.
General workflow for auditing ML CI failures, experiment regressions, training run failures, golden metric failures, and telemetry-backed ML work-product claims from local repositories, logs, metrics, configs, and artifacts. Use when Codex needs to decide whether an ML failure is a model/convergence issue, correctness bug, data/config issue, infrastructure/runtime issue, evaluation/gating policy issue, or unsupported claim, and produce structured evidence-backed outputs.
- Market: https://rogue-dev-studio.github.io/rogue-market-agent/
- Skill id:
ml-failure-audit
Install
Copy `SKILL.md` into your agent skills directory (Cursor / Claude Code / compatible host), or clone this repository.
License
MIT - Rogue Development. See `LICENSE` and `NOTICE`.
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