adaption-ai SKILL.md skillA
adaption-ai from svngoku/coding-agents-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add svngoku/coding-agents-skills/adaption-ai@git:20261013.980e7e1Pins git:20261013.980e7e1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- svngoku/coding-agents-skills
- Path
skills/adaption-ai/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261013.980e7e1, committed Oct 13, 2026
- First version recorded
- Apr 9, 2026
- Size
- 7,101 bytes
- Repository stars
- 12
- License
- MIT
Adaption AI SDK for synthetic data augmentation and dataset adaptation. Use when building data pipelines with the Adaption Python SDK, uploading datasets (local files, Hugging Face, Kaggle), running augmentation/adaptation jobs, configuring brand controls (hallucination mitigation, safety categories, length), recipe specifications (reasoning traces, deduplication, preference pairs, prompt rephrase), evaluating dataset quality, downloading results, or any workflow involving `pip install…
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
# Adaption AI SDK Skill
Build dataset augmentation pipelines with [Adaption's Adaptive Data](https://docs.adaptionlabs.ai/) platform. This skill covers the full lifecycle: ingest → adapt → wait → evaluate → export.
## Quick Reference
```bash
pip install adaption
```
```python
from adaption import Adaption
client = Adaption(api_key="pt_live_...") # or set ADAPTION_API_KEY env var
```
**Async client**: `from adaption import AsyncAdaption`
## Core Lifecycle
1. **Ingest** — Upload local file, import from HuggingFace, or import from Kaggle
2. **Adapt** — Start an augmentation run with column mapping + optional controls
3. **Wait** — Poll for completion with exponential backoff
4. **Evaluate** — Fetch quality metrics (score_before/after, improvement %)
5. **Export** — Download augmented dataset via presigned URL
## Ingest Methods
### Local file upload
Supported formats: `.csv`, `.json`, `.jsonl`, `.parquet`
```python
result = client.datasets.upload_file("training_data.csv")
result = client.datasets.upload_file("data.csv", name="my-dataset") # custom name
dataset_id = result.dataset_id
```
### Hugging Face import (async on server — poll before running)
```python
…Read the whole file at its exact version.
How to install
mdr add svngoku/coding-agents-skills/adaption-ai@sha256:3d7409ad3320dc36The line at the top of this page pins the label git:20261013.980e7e1, 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_codneha4hmcaxyvw)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Apr 9, 2026 and Oct 13, 2026, about one every 93 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261013.980e7e1 latest | 2026-10-13 | 980e7e1 | 7,101 B | A | view · diff |
| git:20260813.422f18d | 2026-08-13 | 422f18d | 7,097 B | A | view · diff |
| git:20260409.7d20d1a | 2026-04-09 | 7d20d1a | 5,659 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 (7101 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
svngoku/coding-agents-skills · 12 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_codneha4hmcaxyvw GET https://markdownregistry.com/api/v1/resolve?ref=svngoku/coding-agents-skills/adaption-ai GET https://markdownregistry.com/api/v1/blob/3d7409ad3320dc3622e1ab4ced213ee9bc2246f0acfac4e57551c2e12a0aab10
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