duolog-calibrate SKILL.md skillA

duolog-calibrate from lorem-dev/duolog is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add lorem-dev/duolog/duolog-calibrate@git:20261105.f8260e4

Pins git:20261105.f8260e4 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: lorem-dev/duolog
Path: plugin/claude/skills/duolog-calibrate/SKILL.md
Versions recorded: 1
Latest version: git:20261105.f8260e4, committed Nov 5, 2026
Size: 2,258 bytes
Repository stars: 3
License: Apache-2.0

Calibrate duolog routing for this project. Use only when the person asks for calibration by name; never suggest it.

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

# Calibrate duolog for this project

Run this only because the person asked for it. Never start calibration on
your own, never mention it unasked, never raise caps
(`calibration.max_weekly_share`, `calibration.max_window_share`), and never
write AGENTS.md or CLAUDE.md. When several leads are active, pass
`--lead <id>` with the lead id from SessionStart to `run`, `resume` and
`judge`.

Run the steps in order. Show each command's output. Where a step says stop,
end your turn and wait for the person; do not go on by yourself.

1. `duolog calibrate survey`. Show the findings.
2. `duolog calibrate classes`. Show the config diff. **Stop:** the person
   approves or edits. Then run `duolog calibrate classes --apply`, with
   `--skip <name>` for each part the person left out.
3. `duolog calibrate mine`. Show the counts per class and the exclusions.
4. `duolog calibrate plan`. Show the plan as printed. **Stop:** ask for one
   approval of the costed run. On approval, run
   `duolog calibrate plan --approve <hash>` with the hash the plan printed.
5. `duolog calibrate run`. On a pause or stop, report the reason and end
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add lorem-dev/duolog/duolog-calibrate@sha256:d5e62875c1fa095d

The line at the top of this page pins the label git:20261105.f8260e4, 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](https://markdownregistry.com/badge/art_wqplloylr2npn57k.svg)](https://markdownregistry.com/a/art_wqplloylr2npn57k)

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

Versions

The registry has recorded 1 version of this file, committed on Nov 5, 2026.

version	committed	commit	size	audit
git:20261105.f8260e4 latest	2026-11-05	f8260e4	2,258 B	A	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 (2258 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

lorem-dev/duolog · 3 stars · license Apache-2.0 · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_wqplloylr2npn57k
GET https://markdownregistry.com/api/v1/resolve?ref=lorem-dev/duolog/duolog-calibrate
GET https://markdownregistry.com/api/v1/blob/d5e62875c1fa095d38f46091b3c4092406121407918d2639efc72e4515c79dac

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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