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.claude/skills/sickn33-longbridge-content/SKILL.md| Model | Eval pass | Runs |
|---|---|---|
| gemini-3.6-flash | 100% | 15 |
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | -24% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 2% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 26% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -21% | 0% |
| case-16 | ✗→✓ | ▲ Improved | -28% | 0% |
News, filings, community topics, and SEC document analysis via Longbridge.
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| User intent | Load references file | |---|---| | Latest news / 最新新闻 | references/news.md | | Company filings / announcements | references/filing.md | | Community topics / discussions | references/topic.md | | SEC EDGAR document analysis | references/sec-filings.md | | Regulatory rules / 监管规则 | references/regulatory-kb.md |
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10-K risk factors, MD&A, non-recurring items, Form 4 insider signals. See references/sec-filings.md.
| Situation | Response | |---|---| | command not found: longbridge | Install longbridge-terminal | | No news returned | The symbol may have limited coverage; try a broader keyword search |
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| User wants | Use | |---|---| | Analyst ratings / institutional data | longbridge-research | | Morning briefing / catalyst radar | longbridge-intel |
longbridge-content/
├── SKILL.md
└── references/
├── news.md · filing.md · topic.md
└── sec-filings.md · regulatory-kb.md| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 3,892 | 6,225 | +60% | 1 | 1 | 0% | 518 | 1,116 | +115% | 0 | 0 | — |
case-02 | fail→fail | 14,523 | 15,245 | +5% | 1 | 1 | 0% | 2,582 | 3,396 | +32% | 0 | 0 | — |
case-03 | fail→pass | 12,622 | 4,785 | -62% | 1 | 1 | 0% | 1,992 | 1,516 | -24% | 0 | 0 | — |
case-04 | fail→pass | 16,134 | 11,350 | -30% | 1 | 1 | 0% | 2,495 | 2,551 | +2% | 0 | 0 | — |
case-05 | fail→pass | 15,594 | 16,170 | +4% | 1 | 1 | 0% | 2,956 | 3,719 | +26% | 0 | 0 | — |
case-06 | pass→fail | 7,251 | 6,464 | -11% | 1 | 1 | 0% | 1,179 | 1,142 | -3% | 0 | 0 | — |
case-07 | pass→fail | 8,953 | 5,052 | -44% | 1 | 1 | 0% | 1,267 | 916 | -28% | 0 | 0 | — |
case-08 | pass→fail | 14,450 | 6,020 | -58% | 1 | 1 | 0% | 2,164 | 1,210 | -44% | 0 | 0 | — |
case-09 | pass→pass | 18,322 | 14,776 | -19% | 1 | 1 | 0% | 2,626 | 2,848 | +8% | 0 | 0 | — |
case-10 | fail→fail | 14,850 | 5,454 | -63% | 1 | 1 | 0% | 2,585 | 982 | -62% | 0 | 0 | — |
case-11 | fail→pass | 12,214 | 9,205 | -25% | 1 | 1 | 0% | 2,291 | 1,812 | -21% | 0 | 0 | — |
case-12 | fail→fail | 16,413 | 5,905 | -64% | 1 | 1 | 0% | 1,923 | 986 | -49% | 0 | 0 | — |
case-13 | fail→fail | 18,081 | 5,727 | -68% | 1 | 1 | 0% | 2,592 | 1,071 | -59% | 0 | 0 | — |
case-14 | fail→fail | 15,261 | 10,014 | -34% | 1 | 1 | 0% | 2,559 | 2,318 | -9% | 0 | 0 | — |
case-15 | fail→fail | 9,557 | 7,545 | -21% | 1 | 1 | 0% | 1,725 | 2,078 | +20% | 0 | 0 | — |
case-16 | fail→pass | 9,770 | 3,224 | -67% | 1 | 1 | 0% | 1,736 | 1,256 | -28% | 0 | 0 | — |
case-17 | pass→pass | 9,724 | 3,702 | -62% | 1 | 1 | 0% | 1,461 | 1,269 | -13% | 0 | 0 | — |
case-18 | fail→pass | 7,637 | 3,102 | -59% | 1 | 1 | 0% | 1,259 | 1,063 | -16% | 0 | 0 | — |
case-19 | fail→pass | 14,995 | 4,164 | -72% | 1 | 1 | 0% | 2,290 | 1,371 | -40% | 0 | 0 | — |
case-20 | pass→fail | 11,673 | 2,776 | -76% | 1 | 1 | 0% | 1,826 | 1,160 | -36% | 0 | 0 | — |
case-21 | fail→fail | 14,765 | 5,010 | -66% | 1 | 1 | 0% | 1,430 | 995 | -30% | 0 | 0 | — |
case-22 | fail→pass | 11,747 | 5,891 | -50% | 1 | 1 | 0% | 2,170 | 1,705 | -21% | 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. 22 cases were attempted, and 14 counted toward the lift figure. The other 8 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 +18 percentage points is the difference between those two pass rates over the 14 comparable cases. 4 cases got worse with the skill loaded, and they are 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.