--- title: "Undominated · Population scope: review, setup & limitations · Undominated.ai" canonical: https://undominated.ai/skills/undominated-population-scope/ description: "Check that a claimed count uses the population the sentence names." --- # Undominated · Population scope: review, setup & limitations · Undominated.ai > Check that a claimed count uses the population the sentence names. [← Explore all skills](/skills/) EVIDENCE AND EVALUATION / Undominated.ai # Undominated · Population scope Check that a claimed count uses the population the sentence names. [See setup guidance ↓](#setup)[Original source ↗](https://undominated.ai/resources/skills/undominated-population-scope/definition.md) SOURCE REVIEW Reviewed 2026-10-14 Evidence 3 linked sources Publisher Undominated.ai Licence [MIT ↗](https://undominated.ai/resources/skills/undominated-population-scope/LICENSE.txt) Revision 9e666a6f787a [Read what was—and wasn’t—checked ↓](#review) “Check that a claimed count uses the population the sentence names.” [Undominated.ai · upstream description ↗](https://undominated.ai/resources/skills/undominated-population-scope/definition.md) Our analysis follows below. 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: A smaller counted set is a subset claim, not a claim about the named population. ### A good fit for - A sentence names a population and a count that may come from a subset. - Use when a sentence names a population and a count that may have been taken from a subset. ### Weigh up before choosing - Does not recompute a market statistic. - Fixture checks establish the documented local behaviour, not performance on an unrestricted set of real tasks. - Public GitHub source availability is not yet verified; the complete download contains the reviewed source. - A new npm install path is not yet verified. Use the complete source download. - Return ids in the named population that were not counted, and ids counted that were not named. 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-population-scope/SKILL.md - skills/undominated-population-scope/scripts/check.py - skills/undominated-population-scope/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: `named` and `counted` are arrays of non-empty id strings. Duplicates inside either array are invalid. - One condition that blocks a pass is: named population contains ids that were not counted. - The checker states its scope as: set identity only; no scores are computed. ### 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 ↗](https://undominated.ai/resources/skills/undominated-population-scope/definition.md) - Download the complete bundle from https://undominated.ai/resources/skills/undominated-population-scope/bundle.zip and extract it into a new directory. - Place the extracted directory at .agents/skills/undominated-population-scope/ 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 ### Compatibility Agent Skills compatible hosts · Python 3.10+ ### Implementation Python · Markdown ### Local, explicit inputs - read:user-selected-local-file ### Cost model MIT source at no charge. Your agent host or model provider may charge for use; the included offline checks require no paid API. THE COMPLETE REVIEWED DEFINITION ## Read it before you reuse it. Original source bytes, with attribution. Review the host-specific setup notes above. Copy definition ↗ [Download complete resource + licence ↗](/resources/skills/undominated-population-scope/bundle.zip)[Raw Markdown ↗](/resources/skills/undominated-population-scope/definition.md) --- name: undominated-population-scope description: Check that a claimed count uses the population the sentence names, not a smaller one. license: MIT metadata: author: Undominated.ai version: "1.0.0" --- # Population scope Use when a sentence names a population and a count that may have been taken from a subset. 1. The named population and the counted population must be the same set of ids. 2. A smaller counted set is a subset claim, not a claim about the named population. 3. Order does not matter. Identity does. 4. Do not case-fold. The caller normalises first. ## 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 `named` and `counted` are arrays of non-empty id strings. Duplicates inside either array are invalid. ## Deliverable and limits Return ids in the named population that were not counted, and ids counted that were not named. 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 ↗](https://undominated.ai/resources/skills/undominated-population-scope/definition.md) · [Licence](/resources/skills/undominated-population-scope/LICENSE.txt) · [Attribution](/resources/skills/undominated-population-scope/ATTRIBUTION.txt) SHA-256 9e666a6f787aae995f55a161050b67cb38266bc5895cd31651775dbf5d2d539e 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. - [Original Undominated definition ↗](https://undominated.ai/resources/skills/undominated-population-scope/definition.md) Checked 2026-10-07 https://undominated.ai/resources/skills/undominated-population-scope/definition.md Supports: Workflow and input requirements, Stated limitations - [MIT licence ↗](https://undominated.ai/resources/skills/undominated-population-scope/LICENSE.txt) Checked 2026-10-07 https://undominated.ai/resources/skills/undominated-population-scope/LICENSE.txt Supports: Redistribution terms and attribution - [Complete source bundle ↗](https://undominated.ai/resources/skills/undominated-population-scope/bundle.zip) Checked 2026-10-07 https://undominated.ai/resources/skills/undominated-population-scope/bundle.zip Supports: Full local source, supporting files and integrity manifest KEEP COMPARING ## Other approaches to consider. Related by category or shared topics. These are alternatives to inspect, not a measured quality order. [### Undominated · Population denominator ↗ Require a stated population, a computed population and a claimed count to be the same set, so a statistic on a subset is not published as the whole set.](/skills/undominated-population-denominator/)[### Undominated · A missing announcement is not safe ↗ Refuse a safety claim built from none-announced, unknown, or unrated. Those labels do not establish that a subject is safe.](/skills/undominated-announced-not-safe/)[### Undominated · Context-tier ladder audit ↗ Check a past-this-length price multiple against every rung, so the dearest rung is not applied at the first boundary.](/skills/undominated-context-tier/) [AI Tools ↗](/tools/)[Skills ↗](/skills/)[Agents ↗](/agents/)[MCP Servers ↗](/mcp-servers/)[Workflows ↗](/workflows/) ## Continue your investigation - [Choose a toolkit](/tools/) - [Inspect execution hosts](/agents/) - [Check tool access](/mcp-servers/) - [Check project dependencies](/check-repo/)