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Get Started Free →Use when a task requires exhaustive unabridged output, complete files, or strict prevention of placeholders and skipped code.
.claude/skills/sickn33-full-output-enforcement/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 28% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 152% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 29% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 55% | 0% |
Treat every task as production-critical. A partial output is a broken output. Do not optimize for brevity — optimize for completeness. If the user asks for a full file, deliver the full file. If the user asks for 5 components, deliver 5 components. No exceptions.
The following patterns are hard failures. Never produce them:
In code blocks: // ..., // rest of code, // implement here, // TODO, /* ... */, // similar to above, // continue pattern, // add more as needed, bare ... standing in for omitted code
In prose: "Let me know if you want me to continue", "I can provide more details if needed", "for brevity", "the rest follows the same pattern", "similarly for the remaining", "and so on" (when replacing actual content), "I'll leave that as an exercise"
Structural shortcuts: Outputting a skeleton when the request was for a full implementation. Showing the first and last section while skipping the middle. Replacing repeated logic with one example and a description. Describing what code should do instead of writing it.
When a response approaches the token limit:
[PAUSED — X of Y complete. Send "continue" to resume from: next section name]On "continue", pick up exactly where you stopped. No recap, no repetition.
Before finalizing any response, verify:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 11,695 | 27,875 | +138% | 1 | 1 | 0% | 2,293 | 6,878 | +200% | 0 | 0 | — |
case-02 | pass→pass | 15,569 | 15,186 | -2% | 1 | 1 | 0% | 3,280 | 4,202 | +28% | 0 | 0 | — |
case-03 | pass→pass | 18,360 | 11,884 | -35% | 1 | 1 | 0% | 3,995 | 3,303 | -17% | 0 | 0 | — |
case-04 | fail→pass | 19,828 | 16,194 | -18% | 1 | 1 | 0% | 4,132 | 4,478 | +8% | 0 | 0 | — |
case-05 | pass→pass | 15,069 | 10,557 | -30% | 1 | 1 | 0% | 3,278 | 2,959 | -10% | 0 | 0 | — |
case-06 | fail→pass | 11,267 | 11,669 | +4% | 1 | 1 | 0% | 2,365 | 3,036 | +28% | 0 | 0 | — |
case-07 | fail→pass | 7,233 | 11,430 | +58% | 1 | 1 | 0% | 1,359 | 3,420 | +152% | 0 | 0 | — |
case-08 | fail→fail | 32,568 | 33,219 | +2% | 1 | 1 | 0% | 6,199 | 6,882 | +11% | 0 | 0 | — |
case-09 | fail→pass | 9,581 | 9,811 | +2% | 1 | 1 | 0% | 2,184 | 2,822 | +29% | 0 | 0 | — |
case-10 | fail→pass | 11,140 | 13,465 | +21% | 1 | 1 | 0% | 2,343 | 3,638 | +55% | 0 | 0 | — |
case-11 | fail→pass | 10,716 | 16,534 | +54% | 1 | 1 | 0% | 2,263 | 3,957 | +75% | 0 | 0 | — |
case-12 | fail→fail | 27,041 | 28,168 | +4% | 1 | 1 | 0% | 6,212 | 6,895 | +11% | 0 | 0 | — |
case-13 | fail→pass | 19,361 | 19,809 | +2% | 1 | 1 | 0% | 4,044 | 4,754 | +18% | 0 | 0 | — |
case-14 | pass→pass | 12,319 | 12,311 | -0% | 1 | 1 | 0% | 2,534 | 3,288 | +30% | 0 | 0 | — |
case-15 | fail→pass | 15,486 | 22,967 | +48% | 1 | 1 | 0% | 3,262 | 5,819 | +78% | 0 | 0 | — |
case-16 | pass→pass | 16,284 | 15,639 | -4% | 1 | 1 | 0% | 3,380 | 3,639 | +8% | 0 | 0 | — |
case-17 | fail→pass | 11,170 | 12,238 | +10% | 1 | 1 | 0% | 2,406 | 3,278 | +36% | 0 | 0 | — |
case-18 | fail→pass | 7,991 | 12,639 | +58% | 1 | 1 | 0% | 1,906 | 3,484 | +83% | 0 | 0 | — |
case-19 | fail→pass | 13,927 | 15,708 | +13% | 1 | 1 | 0% | 3,002 | 4,124 | +37% | 0 | 0 | — |
case-20 | pass→pass | 5,914 | 12,243 | +107% | 1 | 1 | 0% | 1,181 | 2,917 | +147% | 0 | 0 | — |
case-21 | fail→fail | 13,651 | 20,796 | +52% | 1 | 1 | 0% | 2,182 | 5,073 | +132% | 0 | 0 | — |
case-22 | pass→pass | 5,883 | 3,170 | -46% | 1 | 1 | 0% | 834 | 1,131 | +36% | 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 +50 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.
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.