[Flock Action] Rank Animals — 12 Katahdin sheep#2
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Co-authored-by: zircote <307960+zircote@users.noreply.github.com>
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Pull request overview
Adds a flock-action “Rank Animals” output report and CSV export for 12 Katahdin sheep, using a weighted trait index (default hair sheep weights) and breed-range context to produce a composite ranking.
Changes:
- Generated a markdown ranking report with per-animal trait breakdowns, contributions, and breed positioning.
- Exported a machine-readable CSV with scores and per-trait values/accuracies/contributions.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 10 comments.
| File | Description |
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| reports/2026-02-07-rank-animals/report.md | New ranking report with summary, rankings table, detailed animal profiles, and breed context/recommendations. |
| reports/2026-02-07-rank-animals/data.csv | New CSV export of rank results including trait values, accuracies, and score contributions. |
| | PWWT | +4.61 (73%) | 73% | +3.37 | Above average (71th percentile) | | ||
| | NLB | +0.12 (57%) | 57% | +0.07 | Below average (45th percentile) | |
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Ordinal suffix is incorrect here (71th percentile). Use the proper suffix (71st percentile). Similar 52th/62th/72th/73th/33th/53th forms appear elsewhere in the report.
| # Rank Animals Report — Weighted Trait Index | ||
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| **Date**: February 7, 2026 | ||
| **Action**: Rank Animals — Weighted Trait Index Ranking | ||
| **Breed**: Katahdin | ||
| **Animals Analyzed**: 12 | ||
| **Database Last Updated**: November 21, 2025 | ||
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The flock-action instructions require the report header to link back to the originating issue (e.g., Closes #1). Add that near the top so the report/PR auto-closes the tracked issue.
| | PWWT | +5.90 (64%) | 64% | +3.77 | Top 25% (79th percentile) | | ||
| | NLB | +0.13 (44%) | 44% | +0.06 | Below average (47th percentile) | | ||
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| **Analysis**: Strong weaning weight indicates good early growth. excellent yearling weight for market production. above-average fertility. |
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The analysis sentence casing is inconsistent (sentences after a period start with lowercase, e.g. excellent yearling weight...). Please capitalize sentence starts for readability/professionalism.
| **Analysis**: Strong weaning weight indicates good early growth. excellent yearling weight for market production. above-average fertility. | |
| **Analysis**: Strong weaning weight indicates good early growth. Excellent yearling weight for market production. Above-average fertility. |
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| 1. **Top-Ranked Females** (6401492025FLE087, 6401492020FLE249, 6401492025FLE082) show excellent growth traits and should be considered for retention as breeding stock. | ||
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| 2. **Proven Sire** (6402382024NCS310) ranks well with high accuracy values due to 25 progeny. The negative BWT and positive growth traits make this ram valuable for breeding. |
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The recommendation text says the proven sire "ranks well", but in the Rankings table this animal is ranked #9/12. Consider rewording to focus on its higher-accuracy EBVs/proven status rather than its rank, or explain why it's still recommended despite the composite score.
| 2. **Proven Sire** (6402382024NCS310) ranks well with high accuracy values due to 25 progeny. The negative BWT and positive growth traits make this ram valuable for breeding. | |
| 2. **Proven Sire** (6402382024NCS310) has high-accuracy EBVs based on 25 progeny. Even though its composite index rank is mid-pack, the combination of negative BWT and positive growth traits makes this ram a reliable, proven option for breeding. |
| | BWT | +0.17 (62%) | 62% | -0.11 | Above average (52th percentile) | | ||
| | WWT | +2.72 (61%) | 61% | +3.32 | Above average (63th percentile) | |
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For BWT, the report emphasizes that lower is preferred, but the breed-position descriptor uses generic labels like "Above average"/"Below average" which can be misread as "higher BWT" being better. Consider using an explicit label for BWT such as "Lower (better) than average" / "Higher (worse) than average" (and keep the percentile for context).
| 1,6401492025FLE087,Female,3/2/2025,11.91,0.352,63,-0.222,3.069,61,3.744,5.726,53,4.552,5.898,64,3.775,0.132,44,0.058 | ||
| 2,6401492020FLE249,Female,2/5/2020,10.92,0.243,74,-0.180,3.039,71,4.315,3.550,63,3.355,4.611,73,3.366,0.116,57,0.066 | ||
| 3,6401492025FLE082,Female,2/28/2025,9.95,0.334,65,-0.217,2.694,63,3.394,4.383,55,3.616,4.784,65,3.110,0.113,45,0.051 | ||
| 4,6401492025FLE047,Female,2/24/2025,9.89,0.432,59,-0.255,2.948,57,3.361,5.038,49,3.703,5.104,60,3.062,0.042,36,0.015 | ||
| 5,6401492025FLE024,Female,2/20/2025,9.42,0.471,60,-0.283,2.839,58,3.293,4.580,49,3.366,4.991,60,2.995,0.124,36,0.045 | ||
| 6,6401492025FLE008,Female,2/16/2025,9.06,0.170,62,-0.105,2.722,61,3.321,3.656,53,2.907,4.552,63,2.868,0.168,44,0.074 | ||
| 7,6401492025FLE029,Female,2/21/2025,7.39,0.177,58,-0.103,2.128,56,2.383,3.645,49,2.679,4.043,59,2.385,0.116,41,0.048 | ||
| 8,6401492025FLE011,Female,2/17/2025,6.56,0.000,61,-0.000,2.190,59,2.584,2.235,52,1.743,3.523,61,2.149,0.178,45,0.080 | ||
| 9,6402382024NCS310,Male,2/13/2024,4.74,-0.231,80,0.185,1.231,78,1.920,1.002,68,1.022,1.942,80,1.554,0.104,55,0.057 | ||
| 10,6401492025FLE141,Male,2/24/2025,4.26,0.266,61,-0.162,1.265,59,1.493,2.129,47,1.501,2.479,58,1.438,-0.016,38,-0.006 | ||
| 11,6401492023FLE078,Female,2/21/2023,3.25,0.305,64,-0.195,1.611,62,1.998,0.643,52,0.502,1.592,61,0.971,-0.052,50,-0.026 | ||
| 12,6401492022FLE002,Female,1/23/2022,-1.61,-0.176,66,0.116,-0.016,64,-0.020,-1.363,55,-1.124,-0.917,66,-0.605,0.055,50,0.028 |
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dob values are formatted as M/D/YYYY (e.g., 3/2/2025), which is ambiguous across locales. Consider using ISO-8601 (YYYY-MM-DD) in the CSV for machine-readability and consistency with the report folder naming scheme.
| 1,6401492025FLE087,Female,3/2/2025,11.91,0.352,63,-0.222,3.069,61,3.744,5.726,53,4.552,5.898,64,3.775,0.132,44,0.058 | |
| 2,6401492020FLE249,Female,2/5/2020,10.92,0.243,74,-0.180,3.039,71,4.315,3.550,63,3.355,4.611,73,3.366,0.116,57,0.066 | |
| 3,6401492025FLE082,Female,2/28/2025,9.95,0.334,65,-0.217,2.694,63,3.394,4.383,55,3.616,4.784,65,3.110,0.113,45,0.051 | |
| 4,6401492025FLE047,Female,2/24/2025,9.89,0.432,59,-0.255,2.948,57,3.361,5.038,49,3.703,5.104,60,3.062,0.042,36,0.015 | |
| 5,6401492025FLE024,Female,2/20/2025,9.42,0.471,60,-0.283,2.839,58,3.293,4.580,49,3.366,4.991,60,2.995,0.124,36,0.045 | |
| 6,6401492025FLE008,Female,2/16/2025,9.06,0.170,62,-0.105,2.722,61,3.321,3.656,53,2.907,4.552,63,2.868,0.168,44,0.074 | |
| 7,6401492025FLE029,Female,2/21/2025,7.39,0.177,58,-0.103,2.128,56,2.383,3.645,49,2.679,4.043,59,2.385,0.116,41,0.048 | |
| 8,6401492025FLE011,Female,2/17/2025,6.56,0.000,61,-0.000,2.190,59,2.584,2.235,52,1.743,3.523,61,2.149,0.178,45,0.080 | |
| 9,6402382024NCS310,Male,2/13/2024,4.74,-0.231,80,0.185,1.231,78,1.920,1.002,68,1.022,1.942,80,1.554,0.104,55,0.057 | |
| 10,6401492025FLE141,Male,2/24/2025,4.26,0.266,61,-0.162,1.265,59,1.493,2.129,47,1.501,2.479,58,1.438,-0.016,38,-0.006 | |
| 11,6401492023FLE078,Female,2/21/2023,3.25,0.305,64,-0.195,1.611,62,1.998,0.643,52,0.502,1.592,61,0.971,-0.052,50,-0.026 | |
| 12,6401492022FLE002,Female,1/23/2022,-1.61,-0.176,66,0.116,-0.016,64,-0.020,-1.363,55,-1.124,-0.917,66,-0.605,0.055,50,0.028 | |
| 1,6401492025FLE087,Female,2025-03-02,11.91,0.352,63,-0.222,3.069,61,3.744,5.726,53,4.552,5.898,64,3.775,0.132,44,0.058 | |
| 2,6401492020FLE249,Female,2020-02-05,10.92,0.243,74,-0.180,3.039,71,4.315,3.550,63,3.355,4.611,73,3.366,0.116,57,0.066 | |
| 3,6401492025FLE082,Female,2025-02-28,9.95,0.334,65,-0.217,2.694,63,3.394,4.383,55,3.616,4.784,65,3.110,0.113,45,0.051 | |
| 4,6401492025FLE047,Female,2025-02-24,9.89,0.432,59,-0.255,2.948,57,3.361,5.038,49,3.703,5.104,60,3.062,0.042,36,0.015 | |
| 5,6401492025FLE024,Female,2025-02-20,9.42,0.471,60,-0.283,2.839,58,3.293,4.580,49,3.366,4.991,60,2.995,0.124,36,0.045 | |
| 6,6401492025FLE008,Female,2025-02-16,9.06,0.170,62,-0.105,2.722,61,3.321,3.656,53,2.907,4.552,63,2.868,0.168,44,0.074 | |
| 7,6401492025FLE029,Female,2025-02-21,7.39,0.177,58,-0.103,2.128,56,2.383,3.645,49,2.679,4.043,59,2.385,0.116,41,0.048 | |
| 8,6401492025FLE011,Female,2025-02-17,6.56,0.000,61,-0.000,2.190,59,2.584,2.235,52,1.743,3.523,61,2.149,0.178,45,0.080 | |
| 9,6402382024NCS310,Male,2024-02-13,4.74,-0.231,80,0.185,1.231,78,1.920,1.002,68,1.022,1.942,80,1.554,0.104,55,0.057 | |
| 10,6401492025FLE141,Male,2025-02-24,4.26,0.266,61,-0.162,1.265,59,1.493,2.129,47,1.501,2.479,58,1.438,-0.016,38,-0.006 | |
| 11,6401492023FLE078,Female,2023-02-21,3.25,0.305,64,-0.195,1.611,62,1.998,0.643,52,0.502,1.592,61,0.971,-0.052,50,-0.026 | |
| 12,6401492022FLE002,Female,2022-01-23,-1.61,-0.176,66,0.116,-0.016,64,-0.020,-1.363,55,-1.124,-0.917,66,-0.605,0.055,50,0.028 |
| | WWT | +1.26 (59%) | 59% | +1.49 | Below average (47th percentile) | | ||
| | YWT | +2.13 (47%) | 47% | +1.50 | Above average (58th percentile) | | ||
| | PWWT | +2.48 (58%) | 58% | +1.44 | Above average (58th percentile) | | ||
| | NLB | -0.02 (38%) | 38% | -0.01 | Below average (33th percentile) | |
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Ordinal suffix is incorrect in the breed position text (33th percentile). This should be 33rd percentile.
| | NLB | -0.02 (38%) | 38% | -0.01 | Below average (33th percentile) | | |
| | NLB | -0.02 (38%) | 38% | -0.01 | Below average (33rd percentile) | |
| | BWT | +0.35 (63%) | 63% | -0.22 | Below average (43th percentile) | | ||
| | WWT | +3.07 (61%) | 61% | +3.74 | Above average (66th percentile) | | ||
| | YWT | +5.73 (53%) | 53% | +4.55 | Top 25% (75th percentile) | | ||
| | PWWT | +5.90 (64%) | 64% | +3.77 | Top 25% (79th percentile) | | ||
| | NLB | +0.13 (44%) | 44% | +0.06 | Below average (47th percentile) | |
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The per-animal trait tables duplicate accuracy: the Value column already includes accuracy in parentheses (e.g. +0.35 (63%)) and there is also a separate Accuracy column. Consider either removing the Accuracy column or changing Value to show just the EBV so each accuracy appears only once.
| | BWT | +0.35 (63%) | 63% | -0.22 | Below average (43th percentile) | | |
| | WWT | +3.07 (61%) | 61% | +3.74 | Above average (66th percentile) | | |
| | YWT | +5.73 (53%) | 53% | +4.55 | Top 25% (75th percentile) | | |
| | PWWT | +5.90 (64%) | 64% | +3.77 | Top 25% (79th percentile) | | |
| | NLB | +0.13 (44%) | 44% | +0.06 | Below average (47th percentile) | | |
| | BWT | +0.35 | 63% | -0.22 | Below average (43th percentile) | | |
| | WWT | +3.07 | 61% | +3.74 | Above average (66th percentile) | | |
| | YWT | +5.73 | 53% | +4.55 | Top 25% (75th percentile) | | |
| | PWWT | +5.90 | 64% | +3.77 | Top 25% (79th percentile) | | |
| | NLB | +0.13 | 44% | +0.06 | Below average (47th percentile) | |
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| | Trait | Value | Accuracy | Contribution to Score | Breed Position | | ||
| |-------|-------|----------|----------------------|----------------| | ||
| | BWT | +0.35 (63%) | 63% | -0.22 | Below average (43th percentile) | |
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Ordinal suffix is incorrect in the breed position text (e.g., 43th percentile). This should use the correct English ordinal suffix (43rd percentile).
| | BWT | +0.35 (63%) | 63% | -0.22 | Below average (43th percentile) | | |
| | BWT | +0.35 (63%) | 63% | -0.22 | Below average (43rd percentile) | |
| | PWWT | +5.90 (64%) | 64% | +3.77 | Top 25% (79th percentile) | | ||
| | NLB | +0.13 (44%) | 44% | +0.06 | Below average (47th percentile) | | ||
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| **Analysis**: Strong weaning weight indicates good early growth. excellent yearling weight for market production. above-average fertility. |
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This analysis claims "above-average fertility", but the NLB row for this animal is labeled "Below average" (47th percentile). Please align the narrative analysis with the NLB data shown in the table (or adjust the breed-position labeling if it's incorrect).
| **Analysis**: Strong weaning weight indicates good early growth. excellent yearling weight for market production. above-average fertility. | |
| **Analysis**: Strong weaning weight indicates good early growth, excellent yearling weight for market production, and near-average fertility. |
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@copilot apply changes based on the comments in this thread |
…es, issue link Co-authored-by: zircote <307960+zircote@users.noreply.github.com>
All review feedback has been addressed in commit 24c611a: ✅ Added issue link ( |
Rank Animals Flock Action — 12 Animals
Completed Tasks
reports/2026-02-07-rank-animals/report.mdwith formatted tables and breed contextdata.csvwith machine-readable dataPR Review Fixes Applied
Closes #2to report headerSummary of Findings
Top 3 Animals:
Key Observations:
Artifacts Created:
reports/2026-02-07-rank-animals/report.md- Comprehensive markdown report with rankings, detailed profiles, breed context, and recommendationsreports/2026-02-07-rank-animals/data.csv- Machine-readable CSV with all trait values and contributionsOriginal prompt
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