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Get Started Free →Build applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET.
.claude/skills/sickn33-copilot-sdk/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-13 | ✗→✓ | ▲ Improved | 112% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 144% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 212% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 104% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 95% | 0% |
Build applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET.
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
copilot --version to verify)This skill is applicable to execute the workflow or actions described in the overview.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-13 | fail→pass | 11,664 | 4,298 | -63% | 1 | 1 | 0% | 2,334 | 4,942 | +112% | 0 | 0 | — |
case-01 | fail→pass | 10,630 | 6,566 | -38% | 1 | 1 | 0% | 2,256 | 5,495 | +144% | 0 | 0 | — |
case-02 | fail→pass | 9,424 | 9,235 | -2% | 1 | 1 | 0% | 1,984 | 6,198 | +212% | 0 | 0 | — |
case-03 | fail→pass | 13,541 | 7,791 | -42% | 1 | 1 | 0% | 2,881 | 5,865 | +104% | 0 | 0 | — |
case-04 | fail→pass | 10,807 | 4,371 | -60% | 1 | 1 | 0% | 2,628 | 5,135 | +95% | 0 | 0 | — |
case-05 | fail→pass | 11,284 | 4,176 | -63% | 1 | 1 | 0% | 2,112 | 4,889 | +131% | 0 | 0 | — |
case-06 | fail→pass | 11,675 | 6,031 | -48% | 1 | 1 | 0% | 2,463 | 5,542 | +125% | 0 | 0 | — |
case-07 | fail→pass | 13,155 | 9,017 | -31% | 1 | 1 | 0% | 2,778 | 6,089 | +119% | 0 | 0 | — |
case-08 | fail→pass | 14,494 | 8,195 | -43% | 1 | 1 | 0% | 2,837 | 6,096 | +115% | 0 | 0 | — |
case-09 | fail→pass | 10,935 | 7,391 | -32% | 1 | 1 | 0% | 2,237 | 5,784 | +159% | 0 | 0 | — |
case-10 | fail→pass | 9,438 | 5,051 | -46% | 1 | 1 | 0% | 1,912 | 5,177 | +171% | 0 | 0 | — |
case-11 | fail→pass | 15,552 | 5,556 | -64% | 1 | 1 | 0% | 3,222 | 5,222 | +62% | 0 | 0 | — |
case-12 | fail→pass | 13,782 | 4,193 | -70% | 1 | 1 | 0% | 2,728 | 4,922 | +80% | 0 | 0 | — |
case-14 | fail→pass | 11,138 | 3,485 | -69% | 1 | 1 | 0% | 2,326 | 4,818 | +107% | 0 | 0 | — |
case-15 | pass→pass | 10,849 | 5,423 | -50% | 1 | 1 | 0% | 2,060 | 5,341 | +159% | 0 | 0 | — |
case-16 | fail→pass | 10,272 | 3,100 | -70% | 1 | 1 | 0% | 2,017 | 4,675 | +132% | 0 | 0 | — |
case-17 | fail→pass | 9,134 | 3,795 | -58% | 1 | 1 | 0% | 1,873 | 4,871 | +160% | 0 | 0 | — |
case-18 | fail→pass | 12,366 | 4,551 | -63% | 1 | 1 | 0% | 2,462 | 4,961 | +102% | 0 | 0 | — |
case-19 | fail→pass | 9,479 | 3,361 | -65% | 1 | 1 | 0% | 1,925 | 4,820 | +150% | 0 | 0 | — |
case-20 | pass→pass | 6,783 | 1,539 | -77% | 1 | 1 | 0% | 1,240 | 4,288 | +246% | 0 | 0 | — |
case-21 | pass→fail | 11,506 | 8,279 | -28% | 1 | 1 | 0% | 2,545 | 5,961 | +134% | 0 | 0 | — |
case-22 | pass→pass | 18,807 | 12,248 | -35% | 1 | 1 | 0% | 3,913 | 6,599 | +69% | 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. The headline lift of +77 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
The publisher has shipped newer versions since this run, so these numbers describe v1, not the version currently listed.
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.