EVIDENCE AND EVALUATION / Undominated.ai
Undominated · Alias resolution
Resolve an explicitly supplied alias to one distinct concrete target, refusing unresolved or conflicting candidate evidence. Use before treating a latest-style pointer as a concrete model ID.
“Resolve an explicitly supplied alias to one distinct concrete target, refusing unresolved or conflicting candidate evidence. Use before treating a latest-style pointer as a concrete model ID.”
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.
02 / THE REVIEW RECORD
What we actually inspected.
Source review has boundaries.
A clear record is more useful than a “safe” badge.
Material inspected
- Original definition and MIT licence
- Bundled checker source, input contract and synthetic examples
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.
Not established by this review
- Model compliance with these instructions on arbitrary tasks
- Native integration in every agent host
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.
DOCUMENTED COMMAND
npx --yes skills@1.7.1 add https://github.com/Lenvanderhof/Undominated.ai/tree/a67bd9b86fca7455ed208403d9ea6f9fe847cd99/skills --skill undominated-alias-resolution --agent codex --copy Copying does not execute this command. It may retrieve a newer version than the reviewed source.
- Use the pinned command above in the intended project. Replace /absolute/path/to/project with an existing absolute directory when that argument is present.
- Download the complete bundle from https://undominated.ai/resources/skills/undominated-alias-resolution/bundle.zip and extract it into a new directory.
- Place the extracted directory at .agents/skills/undominated-alias-resolution/ or your host's documented skills directory. Preserve SKILL.md, scripts, examples and licence files together.
- 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-alias-resolution
description: Resolve an explicitly supplied alias to one distinct concrete target, refusing unresolved or conflicting candidate evidence. Use before treating a latest-style pointer as a concrete model ID.
license: MIT
metadata:
author: Undominated.ai
version: "1.0.1"
---
# Alias resolution
Collect the complete candidate set for one alias before resolving it. Never select the first matching row. The caller classifies concrete IDs; this checker does not infer pointer syntax from names.
## Input contract
`alias` is required exact non-empty text. `targets` is a required array of objects with exactly `id` (exact non-empty text) and `concrete` (boolean).
The IDs are case-sensitive. Identical duplicate records count once. Contradictory `concrete` declarations for the same ID require review. A self-target, any unresolved/non-concrete candidate, zero distinct concrete IDs or multiple distinct concrete IDs requires review. An unresolved candidate is not silently ignored merely because another candidate is concrete.
## Deliverable and limits
Return the distinct concrete candidates, unresolved identities, conflicting declarations and reasons for review. Pass means one supplied distinct target is consistently declared concrete with no competing unresolved evidence. It does not prove the target exists, that the alias is current or that the supplied set is complete. No recursive pointer traversal or catalogue fetch is performed.
`examples/unresolved.json` requires review despite containing one concrete target. The original conflict example includes a self-target.
## Run the local check
Resolve paths relative to this skill directory:
```sh
python3 scripts/check.py examples/synthetic.json
python3 scripts/check.py /absolute/path/to/your-input.json
```
The examples are **synthetic**, not market measurements. Python 3.10+; standard library only. The script reads one explicit UTF-8 JSON file, prints JSON and makes no network requests or file writes.
Exit codes: `0` consistency check passed, `1` review required, `2` invalid input. CLI argument and malformed-input errors return structured JSON; `--help` displays usage text. Unknown or duplicate JSON fields, non-JSON constants and invalid types are rejected. Files are limited to 1 MiB; decimal strings to 1000 characters; identity/field names to 512 characters, with no surrounding whitespace or ASCII control characters.
This source-only skill is **not included in undominated-check@0.4.0**. Keep `SKILL.md`, the checker, examples and MIT licence together. A pass validates the bounded supplied-input contract, not production suitability or permission to publish. The skill does not authorize external actions.
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 bfb493d66874f1db84d6c8c719887fd6d27c67b5eb4b61f03b663ec36e3d1913
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.
https://github.com/Lenvanderhof/Undominated.ai/blob/a67bd9b86fca7455ed208403d9ea6f9fe847cd99/skills/undominated-alias-resolution/SKILL.md
Supports: Workflow and input requirements, Stated limitations
- MIT licence ↗Checked
https://github.com/Lenvanderhof/Undominated.ai/blob/a67bd9b86fca7455ed208403d9ea6f9fe847cd99/skills/undominated-alias-resolution/LICENSE
Supports: Redistribution terms and attribution
- Complete source bundle ↗Checked
https://undominated.ai/resources/skills/undominated-alias-resolution/bundle.zip
Supports: Full local source, supporting files and integrity manifest