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Get Started Free →SOP for source page creation — write immutable source page capturing raw material, then update search index.
.claude/skills/yogsoth-ai-wiki-ingest-source/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 47% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 0% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 316% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -70% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -33% | 0% |
Create an immutable source page capturing raw research material (paper notes, web content, experimental data). Sources are never edited after creation — they preserve the original material.
<HARD-GATE> Before creating a source page, search the vault for existing sources covering the same material. If vault_search returns a match with score > 8.0 for the source title, STOP and report the duplicate. </HARD-GATE>
vault_search (deduplication check)vault_index (post-creation index update)sources/<slug>.md with frontmatter:yaml --- type: source title: "<descriptive title>" created: <YYYY-MM-DD> origin: <url or citation> tags: [<relevant tags>] ---
vault_index (incremental) to make the page searchableReturns: { created: string, indexed: boolean }
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-07 | fail→pass | 11,447 | 12,364 | +8% | 1 | 1 | 0% | 1,159 | 1,702 | +47% | 0 | 0 | — |
case-06 | fail→fail | 6,864 | 18,181 | +165% | 1 | 1 | 0% | 1,252 | 804 | -36% | 0 | 0 | — |
case-01 | fail→fail | 16,017 | 29,580 | +85% | 1 | 1 | 0% | 458 | 2,868 | +526% | 0 | 0 | — |
case-02 | fail→fail | 10,959 | 17,959 | +64% | 1 | 1 | 0% | 1,269 | 937 | -26% | 0 | 0 | — |
case-03 | fail→fail | 9,720 | 24,566 | +153% | 1 | 1 | 0% | 761 | 904 | +19% | 0 | 0 | — |
case-04 | fail→fail | 16,830 | 11,322 | -33% | 1 | 1 | 0% | 597 | 682 | +14% | 0 | 0 | — |
case-05 | fail→pass | 8,261 | 8,468 | +3% | 1 | 1 | 0% | 1,015 | 1,017 | +0% | 0 | 0 | — |
case-08 | fail→fail | 13,403 | 7,247 | -46% | 1 | 1 | 0% | 1,307 | 732 | -44% | 0 | 0 | — |
case-09 | fail→pass | 15,966 | 8,866 | -44% | 1 | 1 | 0% | 243 | 1,011 | +316% | 0 | 0 | — |
case-10 | fail→fail | 29,256 | 32,118 | +10% | 1 | 1 | 0% | 3,308 | 1,125 | -66% | 0 | 0 | — |
case-11 | fail→pass | 18,908 | 7,478 | -60% | 1 | 1 | 0% | 2,658 | 789 | -70% | 0 | 0 | — |
case-12 | pass→fail | 57,016 | 8,958 | -84% | 1 | 1 | 0% | 7,430 | 2,004 | -73% | 0 | 0 | — |
case-13 | fail→fail | 12,534 | 20,287 | +62% | 1 | 1 | 0% | 171 | 3,942 | +2205% | 0 | 0 | — |
case-14 | fail→fail | 8,456 | 15,481 | +83% | 1 | 1 | 0% | 425 | 565 | +33% | 0 | 0 | — |
case-15 | fail→pass | 12,555 | 7,874 | -37% | 1 | 1 | 0% | 1,212 | 811 | -33% | 0 | 0 | — |
case-16 | pass→pass | 5,152 | 1,832 | -64% | 1 | 1 | 0% | 996 | 678 | -32% | 0 | 0 | — |
case-17 | fail→pass | 13,518 | 4,820 | -64% | 1 | 1 | 0% | 1,510 | 1,165 | -23% | 0 | 0 | — |
case-18 | fail→pass | 17,417 | 10,450 | -40% | 1 | 1 | 0% | 2,053 | 1,297 | -37% | 0 | 0 | — |
case-19 | pass→pass | 10,678 | 7,956 | -25% | 1 | 1 | 0% | 949 | 838 | -12% | 0 | 0 | — |
case-20 | pass→pass | 10,212 | 2,881 | -72% | 1 | 1 | 0% | 850 | 810 | -5% | 0 | 0 | — |
case-21 | fail→pass | 13,154 | 9,234 | -30% | 1 | 1 | 0% | 1,344 | 1,129 | -16% | 0 | 0 | — |
case-22 | pass→pass | 12,842 | 12,770 | -1% | 1 | 1 | 0% | 1,810 | 1,725 | -5% | 0 | 0 | — |
case-23 | pass→pass | 10,172 | 2,590 | -75% | 1 | 1 | 0% | 940 | 837 | -11% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted, and 14 counted toward the lift figure. The other 9 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +30 percentage points is the difference between those two pass rates over the 14 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.