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EVIDENCE AND EVALUATION / Undominated.ai

Undominated · Offer join

Refuse a price that does not name both the model and the seller.

“Refuse a price that does not name both the model and the seller.”

01 / THE REASONING

Why this made the selection.

  • Pairs a bounded workflow with an offline Python checker and explicitly synthetic example inputs.
  • Created for recurring evidence and comparison failures: missing facts remain unknown and every conclusion keeps its scope.
  • It names a concrete failure mode: Do not invent either identity.

02 / THE REVIEW RECORD

What we actually inspected.

Source review has boundaries.
A clear record is more useful than a “safe” badge.

Material inspected

  • skills/undominated-offer-join/SKILL.md
  • skills/undominated-offer-join/scripts/check.py
  • skills/undominated-offer-join/examples/synthetic.json

Our findings

  • First-party resource authored by Undominated.ai; this is our own verification record, not an independent endorsement.
  • The download preserves the complete source and supporting files. Its manifest hashes identify the exact bytes.
  • One input rule the file states is: `model` and `seller` are non-empty text or null. `price` is a decimal string or null.
  • One condition that blocks a pass is: a price without a seller is not an offer.
  • The checker states its scope as: identity of one offer; no price is fetched.

Not established by this review

  • Model compliance with these instructions on arbitrary tasks
  • Native integration in every agent host
  • Public GitHub source identity
  • Remote installation through the standard Skills CLI
  • The new npm resource CLI installation

The review applies to the material and revision named here. A newer upstream release can change its behavior.

03 / PUT IT TO WORK

Add a skill to your workflow.

Upstream setup instructions ↗
  1. Download the complete bundle from https://undominated.ai/resources/skills/undominated-offer-join/bundle.zip and extract it into a new directory.
  2. Place the extracted directory at .agents/skills/undominated-offer-join/ or your host's documented skills directory. Preserve SKILL.md, scripts, examples and licence files together.
  3. Run the documented synthetic example from the skill directory with Python 3.10 or later before using your own evidence.

Before you start

  • An Agent Skills compatible host
  • Python 3.10 or later for the optional checker

THE COMPLETE REVIEWED DEFINITION

Read it before you reuse it.

Original source bytes, with attribution.
Review the host-specific setup notes above.

---
name: undominated-offer-join
description: Refuse a price that does not name both the model and the seller it came from.
license: MIT
metadata:
  author: Undominated.ai
  version: "1.0.0"
---

# Offer join

Use when a price is about to be published without both identities.

1. A price belongs to one model and one seller.
2. A missing seller is not "the provider".
3. A missing model is not the seller's catalogue.
4. Do not invent either identity.

## Run the local check

```sh
python3 scripts/check.py examples/synthetic.json
python3 scripts/check.py /absolute/path/to/your-input.json
```

The bundled example is **synthetic**, not a market measurement. The script reads one local JSON file, prints JSON, and writes nothing. Python 3.10+; no dependencies.

Exit codes: `0` the supplied claim matches the rule; `1` review required; `2` invalid input. A pass is not publication permission.

## Input contract

`model` and `seller` are non-empty text or null. `price` is a decimal string or null.

## Deliverable and limits

Return whether the price has both identities.

The user retains control over external actions. This skill does not install dependencies, spend API credits, modify production settings, or publish anything.

The download contains SKILL.md. Extract the whole bundle; the supporting files are required. Inspect the included MANIFEST.json for file hashes.

By Undominated.ai. Exact upstream source ↗ · Licence · Attribution

SHA-256 73721995b660d3775b5fb15f7230072f305f82904d51b5895b64dc27d035ac85

Read the applicable licence
MIT License

Copyright (c) 2026 Undominated.ai

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

04 / FOLLOW THE EVIDENCE

The source trail.

Our notes are separate from the original resource.
Check upstream before adopting a new version.

  1. https://undominated.ai/resources/skills/undominated-offer-join/definition.md

    Supports: Workflow and input requirements, Stated limitations

  2. MIT licence ↗Checked

    https://undominated.ai/resources/skills/undominated-offer-join/LICENSE.txt

    Supports: Redistribution terms and attribution

  3. Complete source bundle ↗Checked

    https://undominated.ai/resources/skills/undominated-offer-join/bundle.zip

    Supports: Full local source, supporting files and integrity manifest

Evidence & Ask