error-analysis SKILL.md skillB

error-analysis from yonatangross/orchestkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add yonatangross/orchestkit/error-analysis@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
yonatangross/orchestkit
Path
plugins/ork/skills/error-analysis/SKILL.md
Versions recorded
3
Latest version
v1.0.0, committed Sep 29, 2026
First version recorded
Sep 24, 2026
Size
14,062 bytes
Repository stars
299
License
MIT

Evals-first error analysis for LLM apps: clusters real Langfuse or JSONL traces into a human-confirmed failure taxonomy with counts, then recommends binary pass/fail evals for recurring named modes. Use to learn what to measure before writing evals. Not for CI failures.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Error Analysis

Evals-first failure analysis for LLM applications. The method (Hamel Husain, Shreya Shankar) is qualitative research applied to traces: a human open-codes real failures, Claude axial-codes the notes into a named taxonomy, and only the recurring named modes earn an automated eval. Error analysis decides what to measure; it never writes an eval for a mode that has no name and no count.

## When to Use

- An LLM feature (chatbot, RAG, agent, extractor) misbehaves and the team is guessing which evals to write
- You have production traces in Langfuse (or a JSONL export) and need the top failure modes with counts
- Eval scores exist but nobody trusts them because they were never grounded in real failures
- A judge or metric exists and its agreement with human labels is unknown

Do NOT use for Claude Code session errors (`errors` skill), failing CI runs (`ci-debug`), or writing the evaluators themselves once modes are named (`testing-llm`, `ork:eval-runner`).

## Task Management (CC 2.1.16)

Multi-phase workflow: create tasks before Phase 1 and keep status current.

```python
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add yonatangross/orchestkit/error-analysis@sha256:de4173b950b70bfc

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_my7vimujrguajpuw.svg)](https://markdownregistry.com/a/art_my7vimujrguajpuw)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Sep 24, 2026 and Sep 29, 2026, about one every 2 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-09-29 105a980 14,062 BB view · diff
v1.0.02026-09-28 220adb4 14,076 BB view · diff
v1.0.02026-09-24 47c9489 14,090 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No link to a raw IP address (matched: http://127.0.0.1)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (14062 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No script tag

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

yonatangross/orchestkit · 299 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_my7vimujrguajpuw
GET https://markdownregistry.com/api/v1/resolve?ref=yonatangross/orchestkit/error-analysis
GET https://markdownregistry.com/api/v1/blob/de4173b950b70bfc28a82e5706dec1cc859899f8432b8b6e2f082635468d0ffe

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in yonatangross/orchestkit

Other files named error-analysis

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