trace-codes SKILL.md skillA
trace-codes from calibre-labs/reforge-ai-evals is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add calibre-labs/reforge-ai-evals/trace-codes@git:20261019.b5e5462Pins git:20261019.b5e5462 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/trace-codes/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261019.b5e5462, committed Oct 19, 2026
- First version recorded
- Oct 3, 2026
- Size
- 8,023 bytes
- Repository stars
- 94
- License
- MIT
Turn free-form notes from reading agent traces into trace codes: named, yes/no failure or quality patterns with definitions, examples and counts. Use this skill whenever someone has annotated traces or review notes and asks to "cluster my notes", "create trace codes", "find the failure modes", "do error analysis on these annotations", "what patterns are in these traces", or "what should we fix first". Also use to merge new notes into an existing set of codes. Output is a trace codes file, a…
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
# Trace codes skill Trace analysis has three steps: build a set of inputs and run the agent, read the traces and write notes, then cluster the notes into codes. A person does the reading. This skill does the clustering and everything that follows from it. A trace code is a short name for one pattern seen across traces, defined so that anyone can answer yes or no for a single trace. Codes become the vocabulary for the rubric, the backlog and the automated evals. Do not write the notes yourself. If the user has traces and no notes, tell them to read and annotate at least ten first. Reading is where product judgment comes in, so a person does it. You may help them read faster (summarize a long trace, point at the tool calls) but the observations must be theirs. ## Inputs | Input | Required | Typical form | |---|---|---| | Notes | Yes | A CSV or JSON with a trace id and a free-text note per trace, pasted text, or a review page that stores notes (see below). | | Traces | Helpful | The files or folder the notes refer to, so examples can quote what happened | | Rubric | Helpful | The current eval rubric, to map each code to a line | …
Read the whole file at its exact version.
How to install
mdr add calibre-labs/reforge-ai-evals/trace-codes@sha256:b7c58caed82aba88The line at the top of this page pins the label git:20261019.b5e5462, 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.
[](https://markdownregistry.com/a/art_avy3tzm5ycvgbtjf)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Oct 3, 2026 and Oct 19, 2026, about one every 8 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261019.b5e5462 latest | 2026-10-19 | b5e5462 | 8,023 B | A | view · diff |
| git:20261003.55b731a | 2026-10-03 | 55b731a | 6,944 B | A | view · diff |
| git:20261003.9a39ab5 | 2026-10-03 | 9a39ab5 | 6,931 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8023 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
calibre-labs/reforge-ai-evals · 94 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_avy3tzm5ycvgbtjf GET https://markdownregistry.com/api/v1/resolve?ref=calibre-labs/reforge-ai-evals/trace-codes GET https://markdownregistry.com/api/v1/blob/b7c58caed82aba88631117f03da5d59d36af604667543c2eb14f64836d4a900e
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.