Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Allows listing, searching and extracting information from local knowledge base documents for information about tables
.claude/skills/eli-labz-kb-search/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-05 | ✗→✓ | ▲ Improved | -41% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -69% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -29% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -72% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -45% | 0% |
The fileskb mcp server provides the following tools to extract relevant information from a directory hierarchy of markdown files:
of the specified path. The items may be files or sub-directories.
contents are provided. Extract and summarise the relevant information based on the documentation being generated..
along with matching line numbers and line snippets. This can be used to quickly find matches without having to list and read all files.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 7,740 | 3,890 | -50% | 1 | 1 | 0% | 1,302 | 362 | -72% | 0 | 0 | — |
case-02 | fail→fail | 3,210 | 3,683 | +15% | 1 | 1 | 0% | 413 | 339 | -18% | 0 | 0 | — |
case-03 | fail→fail | 4,289 | 4,062 | -5% | 1 | 1 | 0% | 260 | 357 | +37% | 0 | 0 | — |
case-04 | fail→fail | 11,433 | 5,038 | -56% | 1 | 1 | 0% | 1,797 | 425 | -76% | 0 | 0 | — |
case-05 | fail→pass | 4,615 | 1,846 | -60% | 1 | 1 | 0% | 723 | 429 | -41% | 0 | 0 | — |
case-06 | pass→pass | 4,899 | 3,011 | -39% | 1 | 1 | 0% | 864 | 424 | -51% | 0 | 0 | — |
case-07 | fail→pass | 8,346 | 1,918 | -77% | 1 | 1 | 0% | 1,408 | 441 | -69% | 0 | 0 | — |
case-08 | fail→pass | 5,499 | 3,531 | -36% | 1 | 1 | 0% | 930 | 661 | -29% | 0 | 0 | — |
case-09 | fail→pass | 8,530 | 1,951 | -77% | 1 | 1 | 0% | 1,558 | 442 | -72% | 0 | 0 | — |
case-15 | pass→fail | 9,732 | 3,862 | -60% | 1 | 1 | 0% | 1,557 | 389 | -75% | 0 | 0 | — |
case-10 | fail→fail | 11,891 | 1,840 | -85% | 1 | 1 | 0% | 1,959 | 301 | -85% | 0 | 0 | — |
case-11 | fail→pass | 4,518 | 1,688 | -63% | 1 | 1 | 0% | 705 | 389 | -45% | 0 | 0 | — |
case-12 | fail→pass | 12,548 | 2,370 | -81% | 1 | 1 | 0% | 1,941 | 451 | -77% | 0 | 0 | — |
case-13 | pass→pass | 4,009 | 1,428 | -64% | 1 | 1 | 0% | 585 | 347 | -41% | 0 | 0 | — |
case-14 | fail→fail | 5,181 | 3,334 | -36% | 1 | 1 | 0% | 873 | 285 | -67% | 0 | 0 | — |
case-16 | pass→fail | 8,400 | 3,173 | -62% | 1 | 1 | 0% | 1,287 | 351 | -73% | 0 | 0 | — |
case-17 | pass→pass | 3,406 | 2,006 | -41% | 1 | 1 | 0% | 587 | 499 | -15% | 0 | 0 | — |
case-18 | fail→pass | 7,971 | 3,831 | -52% | 1 | 1 | 0% | 1,182 | 458 | -61% | 0 | 0 | — |
case-19 | fail→pass | 9,555 | 2,343 | -75% | 1 | 1 | 0% | 1,621 | 521 | -68% | 0 | 0 | — |
case-20 | fail→fail | 5,287 | 5,150 | -3% | 1 | 1 | 0% | 828 | 445 | -46% | 0 | 0 | — |
case-21 | pass→fail | 11,483 | 3,234 | -72% | 1 | 1 | 0% | 2,055 | 277 | -87% | 0 | 0 | — |
case-22 | pass→pass | 3,949 | 3,615 | -8% | 1 | 1 | 0% | 574 | 740 | +29% | 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 13 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 +23 percentage points is the difference between those two pass rates over the 13 comparable cases. 3 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.