Prepare for public release on Gitea: simurgarray package names, community files, Gitea templates, pseudonymised P6 probe names

docs/validation/P6.md

@@ -50,7 +50,7 @@ GTCtoVCF 1.2.1 run under Python 3 with two local compatibility patches (K-022),
 |---|---|---|
 | identical calls | 23 656 575 | |
 | identical no-calls | 109 760 | |
-| `oracle_site_includes_probes_we_skip` | 2 917 | GTCtoVCF merges intensity-only CNV probes (e.g. `ilmnseq_CYP2C8_…_CNV`) into SNV sites; their alleles make its call ambiguous. SimurgArray skips intensity-only loci (OUT-019) |
+| `oracle_site_includes_probes_we_skip` | 2 917 | GTCtoVCF merges intensity-only CNV probes into SNV sites; their alleles make its call ambiguous. SimurgArray skips intensity-only loci (OUT-019) |
 | `oracle_opposite_strand_indel_bug` | 177 | `[I/D]` and `[D/I]` duplicate indel probes all heterozygous: we write `0/1`, GTCtoVCF 1.2.1 `./.` — the reference bug named in OUT-020/EDGE-012 |
 | `grouping_differs` | 155 | indel probes designed 1–3 bp apart normalise to the same variant: we merge them (OUT-030), GTCtoVCF groups by manifest position; the probes disagree, so the merged site is missing |
 | `ours_missing_het_in_haploid` | 17 | OUT-018 |
@@ -84,3 +84,6 @@ has the dash on the right (patched to skip instead of crash), which SimurgArray
 | `--merge-snv-indel` (OUT-021, EDGE-013) | 1 GSA sample; `bcftools norm -c e -f` | 677 SNV+indel positions merged (635 796 → 635 119 records), 0 REF mismatches; unit test of the combined genotypes |
 | `--auxiliary-loci` (OUT-035, EDGE-015) | unit tests for every rule (a)–(e) and a minus-strand design; 3 real probes (plus and minus designs) redefined as MNVs | records replaced, genotypes preserved, 0 REF mismatches |
 | `export plink --format pgen|both` (plan §8.4) | `plink2 --pfile` on our `.pgen` → `.bed` | byte-identical to our own `.bed` (637 397 variants), no plink2 warnings |
+
+The example rows in `P6_gsa36_vs_gtc2vcf.json` and `P6_gsa36_vs_gtctovcf.json` show probe names as stable
+pseudonyms (`locus_NNNN`); sample IDs, positions, alleles and all counts are the original values.