flutter-edge-ai-decisions SKILL.md skillA
flutter-edge-ai-decisions from denisovav/flutter_edge_ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add denisovav/flutter_edge_ai/flutter-edge-ai-decisions@git:20261029.8bf2628Pins git:20261029.8bf2628 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- denisovav/flutter_edge_ai
- Path
packages/flutter_edge_ai/skills/flutter-edge-ai-decisions/SKILL.md- Versions recorded
- 7
- Latest version
- git:20261029.8bf2628, committed Oct 29, 2026
- First version recorded
- Oct 16, 2026
- Size
- 19,702 bytes
- Repository stars
- 649
- License
- MIT
Use when an on-device app must pick one of N options for an input — an intent, an action, a screen, a route, a label, or the few tools out of hundreds to offer a small function-calling model — and say "none of these" instead of guessing, with flutter_edge_ai's experimental Decider API (EmbeddingModel.createDecider, InferenceModel.createDecider, DeciderOption, EmbeddingDeciderCalibration, DeciderAnswer, Decider.chooseAll, toArtifact/loadDecider). Also use for Jev Choice JSON on device, when…
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
# Deciders: pick one of N options on device Experimental since `flutter_edge_ai` 2.4.0: names may change in a minor release. Every type and member is `@experimental`, so code using them gets the analyzer warning `experimental_member_use`; add `// ignore_for_file: experimental_member_use` to those files rather than let a CI that fails on warnings fail. ## Rules 1. A decider comes from a model: `EmbeddingModel.createDecider` works with every embedding backend. `InferenceModel.createDecider(question:, options:, calibration:)` needs a small LLM TRAINED on that one decision (a `.litertlm` tuned by LiteTune, which writes the decision into the file), natively, on the CPU (`flutter_edge_ai_litertlm` 1.16.0) or the GPU (1.20.0); the NPU, any other model, and every model on the web throw `DeciderUnsupportedException`. The file's calibration is fitted on the CPU: load with `preferredBackend: PreferredBackend.cpu` to use it as fitted (a load without it tries the GPU first). Its scoring self-check runs in debug and profile builds only (litertlm 1.20.0; release scores in a …
Read the whole file at its exact version.
How to install
mdr add denisovav/flutter_edge_ai/flutter-edge-ai-decisions@sha256:b1279fd9569fc4fdThe line at the top of this page pins the label git:20261029.8bf2628, 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_o2yqi2faavyafzau)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Oct 16, 2026 and Oct 29, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261029.8bf2628 latest | 2026-10-29 | 8bf2628 | 19,702 B | A | view · diff |
| git:20261029.0d5ad22 | 2026-10-29 | 0d5ad22 | 19,530 B | A | view · diff |
| git:20261023.d80baf8 | 2026-10-23 | d80baf8 | 19,050 B | A | view · diff |
| git:20261020.525c56e | 2026-10-20 | 525c56e | 18,891 B | A | view · diff |
| git:20261020.45e44f7 | 2026-10-20 | 45e44f7 | 18,537 B | A | view · diff |
| git:20261019.0c626b2 | 2026-10-19 | 0c626b2 | 14,959 B | A | view · diff |
| git:20261016.d35c575 | 2026-10-16 | d35c575 | 14,529 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 (19702 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
denisovav/flutter_edge_ai · 649 stars · license MIT · pushed 2026-10-31 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_o2yqi2faavyafzau GET https://markdownregistry.com/api/v1/resolve?ref=denisovav/flutter_edge_ai/flutter-edge-ai-decisions GET https://markdownregistry.com/api/v1/blob/b1279fd9569fc4fd8ffd44610aacfbab6fd5f5801cd380bfaf2ff421c9e599c9
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.