calibrate-difficulty SKILL.md skillA

calibrate-difficulty from understudylabs/orchestra-agent-tools is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add understudylabs/orchestra-agent-tools/calibrate-difficulty@git:20261020.17ad730

Pins git:20261020.17ad730 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
understudylabs/orchestra-agent-tools
Path
skills/calibrate-difficulty/SKILL.md
Versions recorded
2
Latest version
git:20261020.17ad730, committed Oct 20, 2026
First version recorded
Aug 3, 2026
Size
1,798 bytes
Repository stars
19
License
MIT

Measure per-band model headroom from a local, source-bound run artifact before investing in training.

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 difficulty

Use an existing local run artifact with explicit generic `band` labels. The
artifact is hashed and the report records that source binding. This is a
deterministic screening step: it makes no provider calls, never reads holdout
or customer data, and does not infer bands from benchmark-specific task IDs.

```bash
npm run build
node scripts/difficulty-calibration.mjs --run path/to/synthetic-run.json --out report.json
```

Scores at or above `0.95` are saturated only when the band has at least 10
scored rows; insufficient sample takes precedence and remains `caution`.
Only sufficiently sampled bands below the threshold are `measurable` and
`invest`. Keep fixture, split, scoring protocol, and source hash visible, and
use dev/train data for decisions—never holdout data.

## Safety Gates

- Use only a frozen, source-bound train/dev run. Never use holdout rows or make
  provider calls from this calibration step.
- Predeclare the saturation threshold and minimum sample. An undersized band is
  `insufficient_sample` even when its observed mean is perfect.
- Treat the report as a spend-routing screen, not promotion evidence or proof
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add understudylabs/orchestra-agent-tools/calibrate-difficulty@sha256:47675b4473234549

The line at the top of this page pins the label git:20261020.17ad730, 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_r6ye6govfgaa7dwq.svg)](https://markdownregistry.com/a/art_r6ye6govfgaa7dwq)

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

Versions

The registry has recorded 2 versions of this file, between Aug 3, 2026 and Oct 20, 2026, about one every 77 days.

versioncommittedcommitsizeaudit
git:20261020.17ad730 latest2026-10-20 17ad730 1,798 BA view · diff
git:20260803.904c54a2026-08-03 904c54a 1,704 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 (1798 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

understudylabs/orchestra-agent-tools · 19 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_r6ye6govfgaa7dwq
GET https://markdownregistry.com/api/v1/resolve?ref=understudylabs/orchestra-agent-tools/calibrate-difficulty
GET https://markdownregistry.com/api/v1/blob/47675b44732345499a03b0e2d2107aa1837d1d96affd593bb0566f51c4be6c04

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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