ticket-to-eval SKILL.md skillA

ticket-to-eval from calibre-labs/reforge-ai-evals is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add calibre-labs/reforge-ai-evals/ticket-to-eval@git:20261003.9a39ab5

Pins git:20261003.9a39ab5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
calibre-labs/reforge-ai-evals
Path
skills/ticket-to-eval/SKILL.md
Versions recorded
1
Latest version
git:20261003.9a39ab5, committed Oct 3, 2026
Size
7,441 bytes
Repository stars
94
License
MIT

Strip PII from a customer support ticket or eval trace and convert it into eval dataset rows. Produces two outputs: a regression dataset row (close to the original input, tagged with failure_mode) and a generalized dataset row (abstracted for broader coverage). Works with local CSV files or any eval platform. Use this skill whenever someone shares a support ticket, user complaint, or raw trace and wants to turn it into eval data. Trigger on: "add this ticket to the dataset…

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

# Ticket → Eval Conversion

You are converting a customer support ticket or eval trace into two eval dataset rows: a
regression row (exact input, tagged with failure_mode) and a generalized row (abstracted for
broader coverage). Work through the phases below.

---

## Phase 0: Dataset Discovery

Ask the user where their eval datasets live:
- **Local CSV** — glob for CSV files whose first line contains `input,metadata`
- **Eval platform** (Braintrust, LangSmith, etc.) — ask for the project name and list available datasets
- If unclear, ask: "Should I look for datasets in a local CSV or an eval platform?"

Identify two targets:
- **Regression target** — the dataset tracking real failures (look for "regression" in the name)
- **Coverage target** — the dataset for generalized coverage rows (the broader dev/test set)

Ask the user to confirm both before proceeding.

Store: `regression_target` and `coverage_target` as either `{type: "local", path: "<path>"}` or
`{type: "platform", name: "<dataset name>", project: "<project>"}`.

---

## Phase 1: Extract & Identify

Parse the input — it may be a CSV row, free-form complaint text, or trace JSON.

Extract:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add calibre-labs/reforge-ai-evals/ticket-to-eval@sha256:0b050a0c7b8ec063

The line at the top of this page pins the label git:20261003.9a39ab5, 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_h7ysfodrc7j5dzd4.svg)](https://markdownregistry.com/a/art_h7ysfodrc7j5dzd4)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 3, 2026.

versioncommittedcommitsizeaudit
git:20261003.9a39ab5 latest2026-10-03 9a39ab5 7,441 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7441 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 link to a raw IP address
  • pass: No script tag

Source

GitHub

calibre-labs/reforge-ai-evals · 94 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_h7ysfodrc7j5dzd4
GET https://markdownregistry.com/api/v1/resolve?ref=calibre-labs/reforge-ai-evals/ticket-to-eval
GET https://markdownregistry.com/api/v1/blob/0b050a0c7b8ec06323d1138f261052d5327e39a101e3b1fd3e364ec88fb7d3e0

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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