forecasting-reverso SKILL.md skillA
forecasting-reverso from oaustegard/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add oaustegard/claude-skills/forecasting-reverso@v0.1.0Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- oaustegard/claude-skills
- Path
plugins/data-and-visualization/skills/forecasting-reverso/SKILL.md- Versions recorded
- 2
- Latest version
- v0.1.0, committed Jul 25, 2026
- First version recorded
- Jul 7, 2026
- Size
- 5,887 bytes
- Repository stars
- 158
- License
- MIT
Zero-shot univariate time series forecasting using the Reverso foundation model (NumPy/Numba CPU-only inference). Activate when users provide time series data and request forecasts, predictions, or extrapolations. Supports Reverso Small (550K params). Triggers on "forecast", "predict", "time series", "Reverso", or when tabular data with a temporal dimension needs future-value estimation.
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
# Reverso Time Series Forecasting
Produce zero-shot univariate time series forecasts using the Reverso foundation model family (arXiv:2602.17634), implemented in NumPy/Numba for CPU-only container execution.
## Setup (run once per conversation)
```bash
uv pip install numba --system --break-system-packages
cp /mnt/skills/user/forecasting-reverso/scripts/reverso.py /home/claude/reverso.py
cp /mnt/skills/user/forecasting-reverso/scripts/load_checkpoint.py /home/claude/load_checkpoint.py
```
## Obtaining Weights
Two paths depending on network access:
### Path A: Direct download (HuggingFace allow-listed)
```python
import urllib.request, os
os.makedirs("/tmp/reverso", exist_ok=True)
url = "https://huggingface.co/shinfxh/reverso/resolve/main/checkpoints/reverso_small/checkpoint.pth"
urllib.request.urlretrieve(url, "/tmp/reverso/checkpoint.pth")
```
### Path B: User upload (HuggingFace not accessible)
If the download fails with a network error, tell the user:
> I can't reach HuggingFace from this environment. Please download the checkpoint from
> https://huggingface.co/shinfxh/reverso/blob/main/checkpoints/reverso_small/checkpoint.pth
> and upload it here.
…Read the whole file at its exact version.
How to install
mdr add oaustegard/claude-skills/forecasting-reverso@sha256:b9c82317f0201d88The line at the top of this page pins the label v0.1.0, 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.
[](https://markdownregistry.com/a/art_ebpoxtcj7tvnzecz)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 7, 2026 and Jul 25, 2026, about one every 18 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-07-25 | 4b31e7d | 5,887 B | A | view · diff |
| git:20260707.6154d36 | 2026-07-07 | 6154d36 | 5,860 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 (5887 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
oaustegard/claude-skills · 158 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ebpoxtcj7tvnzecz GET https://markdownregistry.com/api/v1/resolve?ref=oaustegard/claude-skills/forecasting-reverso GET https://markdownregistry.com/api/v1/blob/b9c82317f0201d88ab0ea7bcb81d458aeef8117bbd1c6495b8aa3b077f0578ec
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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