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Get Started Free →Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Use when the user needs immediate insights into financial market trends, stock performance factors, and reasoning from the DeepEar Lite dashboard.
.claude/skills/rkiding-alphaear-deepear-lite/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -58% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -61% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -75% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -46% | 0% |
| case-12 | ✗→✓ | ▲ Improved | -69% | 0% |
Fetch high-frequency financial signals, including titles, summaries, confidence scores, and reasoning directly from the DeepEar Lite platform's real-time data source.
Use scripts/deepear_lite.py via DeepEarLiteTools.
fetch_latest_signals()https://deepear.vercel.app/latest.json.requests, loguruRun the test script to verify the connection and data fetching:
bashpython scripts/deepear_lite.py
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-16 | fail→fail | 7,558 | 1,990 | -74% | 1 | 1 | 0% | 1,515 | 522 | -66% | 0 | 0 | — |
case-01 | fail→fail | 2,678 | 5,320 | +99% | 1 | 1 | 0% | 376 | 530 | +41% | 0 | 0 | — |
case-02 | fail→fail | 4,269 | 3,725 | -13% | 1 | 1 | 0% | 650 | 490 | -25% | 0 | 0 | — |
case-03 | fail→fail | 2,936 | 4,121 | +40% | 1 | 1 | 0% | 519 | 334 | -36% | 0 | 0 | — |
case-04 | fail→pass | 6,545 | 1,973 | -70% | 1 | 1 | 0% | 1,247 | 529 | -58% | 0 | 0 | — |
case-05 | fail→fail | 7,708 | 1,480 | -81% | 1 | 1 | 0% | 1,321 | 400 | -70% | 0 | 0 | — |
case-06 | fail→pass | 7,685 | 1,743 | -77% | 1 | 1 | 0% | 1,211 | 467 | -61% | 0 | 0 | — |
case-07 | fail→pass | 10,150 | 1,753 | -83% | 1 | 1 | 0% | 1,916 | 473 | -75% | 0 | 0 | — |
case-08 | pass→pass | 9,591 | 1,891 | -80% | 1 | 1 | 0% | 1,593 | 521 | -67% | 0 | 0 | — |
case-09 | pass→pass | 13,220 | 7,836 | -41% | 1 | 1 | 0% | 2,186 | 1,473 | -33% | 0 | 0 | — |
case-10 | fail→fail | 10,853 | 1,916 | -82% | 1 | 1 | 0% | 1,841 | 453 | -75% | 0 | 0 | — |
case-17 | pass→fail | 5,908 | 1,163 | -80% | 1 | 1 | 0% | 992 | 380 | -62% | 0 | 0 | — |
case-11 | fail→pass | 5,468 | 1,882 | -66% | 1 | 1 | 0% | 921 | 495 | -46% | 0 | 0 | — |
case-12 | fail→pass | 6,394 | 5,581 | -13% | 1 | 1 | 0% | 1,175 | 362 | -69% | 0 | 0 | — |
case-13 | pass→pass | 8,662 | 2,118 | -76% | 1 | 1 | 0% | 1,618 | 532 | -67% | 0 | 0 | — |
case-14 | fail→pass | 6,740 | 2,231 | -67% | 1 | 1 | 0% | 1,262 | 565 | -55% | 0 | 0 | — |
case-15 | fail→fail | 11,039 | 3,431 | -69% | 1 | 1 | 0% | 1,684 | 759 | -55% | 0 | 0 | — |
case-18 | fail→fail | 4,669 | 1,508 | -68% | 1 | 1 | 0% | 734 | 384 | -48% | 0 | 0 | — |
case-19 | fail→pass | 12,855 | 2,628 | -80% | 1 | 1 | 0% | 2,406 | 645 | -73% | 0 | 0 | — |
case-20 | pass→pass | 19,150 | 15,589 | -19% | 1 | 1 | 0% | 3,800 | 3,622 | -5% | 0 | 0 | — |
case-21 | pass→pass | 21,865 | 18,846 | -14% | 1 | 1 | 0% | 3,985 | 3,800 | -5% | 0 | 0 | — |
case-22 | pass→pass | 13,663 | 12,593 | -8% | 1 | 1 | 0% | 2,811 | 2,979 | +6% | 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 19 counted toward the lift figure. The other 3 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 +27 percentage points is the difference between those two pass rates over the 19 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.