FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
- 198198 likes
- 103103 saves
Works with
- Claude Code
- Codex
- Cursor
- and 3 more
Audit of an LLM evaluation pipeline v1.0.0
Use this resource to audit an LLM evaluation pipeline and rank its problems
New
- 325 downloads
- 175 likes
- 100 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install llm-eval-pipeline-auditWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent reviews traces, evaluator configs, judge prompts and labeled data, then runs six diagnostic areas. You get a findings report ordered by impact, each linked to a fix.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
Similar resources
View all- Free
FreeSkills
Sentry CLI guide
- 525525 downloads
- 117117 likes
- 128128 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
Drizzle ORM best practices with PostgreSQL
- 407407 downloads
- 194194 likes
- 151151 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
SLO design wizard
- 537537 downloads
- 105105 likes
- 242242 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
User stories and sprint fit
- 451451 downloads
- 150150 likes
- 132132 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
Capacity-based sprint plan
- 423423 downloads
- 192192 likes
- 102102 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
Startup CTO advisor
- 580580 downloads
- 201201 likes
- 242242 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
Creating GitHub pull requests with quality checks
- 427427 downloads
- 230230 likes
- 196196 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
What you get
- SKILL.md: three-step method and diagnostic checks
- SKILL.md: impact-ranked report and the no-infrastructure case
Good fit for
- You inherit an eval system and its reliability is unclear
- You want to know whether your LLM metrics can be trusted
Not for
Tags
- evaluation
- llm
- audit
- metrics
About
You say
“Audit our eval pipeline: I don't know whether the automatic judges are reliable.”
Skill published by ai-evals-course under the Apache-2.0 license, delivered in its original version.
Show moreShow less
How to use it
- Install the skill in your agent's skills folder
- Ask your agent to audit an LLM evaluation pipeline and rank its problems
- Review and adjust the result
Content preview
Files
- agents/openai.yaml0.2 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md9.9 KB
Origin and licence
Listed unmodified
- Author
- ai-evals-course
- Source
- github.com/ai-evals-course/evals-skills/tree/80d5f7b0127c7572ed9e9339937adbfd7240ffeb/skills/eval-audit
- Licence
- Apache-2.0
Notice
« eval-audit » (ai-evals-course, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
User reviews
–
No ratings yet
Loading reviews…