skill-autobench SKILL.md skillA

skill-autobench from garrytan/gbrain is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add garrytan/gbrain/skill-autobench@v1.0.0

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

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
garrytan/gbrain
Path
skills/skill-autobench/SKILL.md
Versions recorded
3
Latest version
v1.0.0, committed Oct 7, 2026
First version recorded
Aug 12, 2026
Size
12,719 bytes
Repository stars
31,587
License
MIT

Author an eval for an existing skill from its REAL usage history, not its spec. Mine invocations from the brain's conversation archive (conversations/) and per-harness session transcripts — a user correction after an invocation is the gold signal — then synthesize an eval_contract plus 4-8 replayable cases with honesty labels (SPEC-DERIVED vs HISTORY-IMPLIED) and stage the result at skills/<name>/eval/autobench-<date>.md as PENDING-HUMAN-APPROVAL. Never rewrites SKILL.md. Ships two…

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

# skill-autobench — write the eval from lived usage

> **Convention:** see [conventions/brain-first.md](../conventions/brain-first.md) —
> mining starts in the brain. Search the conversation archive before touching
> raw transcript files, and never declare "no history" without having queried
> the brain first.
>
> **Convention:** see [conventions/model-routing.md](../conventions/model-routing.md) —
> mining and synthesis run on the cheap tier by default. The full multi-model
> judging pass is an explicit opt-in (see Contract).

The self-improving loop has three legs: an **eval**, a **variant generator**
(SkillOpt), and a **replay + judge harness** (`gbrain eval cross-modal`). The
generator and the judge ship with gbrain. The persistently missing leg is the
**eval author** — someone has to WRITE the eval, and a spec-derived benchmark
only tests what the skill promised, not what users actually asked for or what
actually went wrong. This skill writes the eval from reality instead of
imagination.

## Pipeline

### 1. MINE — extract real invocation windows

Substrates, in priority order:

1. **Brain conversation archive** — pages under `conversations/`, populated by
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add garrytan/gbrain/skill-autobench@sha256:29f5760dcfd823c5

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_qalnlvawopmdqyp4.svg)](https://markdownregistry.com/a/art_qalnlvawopmdqyp4)

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

Versions

The registry has recorded 3 versions of this file, between Aug 12, 2026 and Oct 7, 2026, about one every 28 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-07 590bb9a 12,719 BA view · diff
v1.0.02026-10-04 739e5cc 12,718 BA view · diff
v1.0.02026-08-12 3f22f51 12,234 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 (12719 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

garrytan/gbrain · 31,587 stars · license MIT · pushed 2026-11-06 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_qalnlvawopmdqyp4
GET https://markdownregistry.com/api/v1/resolve?ref=garrytan/gbrain/skill-autobench
GET https://markdownregistry.com/api/v1/blob/29f5760dcfd823c5f7d4fb50a3cf4e36601b1b8125e57d6bf83645a41f97f613

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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