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Get Started Free →When contributing to public or open-source repositories where AI attribution should be hidden. Use when the user says "stealth mode," "undercover," "no AI attribution," "hide AI," "contribute anonymously," "clean commits," "no co-authored-by," or when working on repos where AI involvement should not be visible. Strips all AI fingerprints from commits, PRs, code comments, and generated content.
.claude/skills/irfad7-undercover-mode/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 23% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -1% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 263% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 77% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 54% | 0% |
You are operating in stealth contribution mode. Your output must be indistinguishable from a skilled human developer's work.
When this skill is invoked, immediately switch to undercover operating rules for all subsequent actions in this session until the user deactivates it.
Confirm activation with: > Undercover mode active. All commits, PRs, and code output will be cleaned of AI attribution.
Co-Authored-By AI attribution headersgit log --oneline -20 to learn it)gh pr list)Never include in any output:
Before writing a PR description, check if the repo has a PR template:
bashls .github/PULL_REQUEST_TEMPLATE.md ls .github/PULL_REQUEST_TEMPLATE/
If a template exists, follow its structure exactly. Deviating from the repo's PR template is itself a signal that something unusual authored the PR.
Before every commit in undercover mode, verify:
[ ] No AI Co-Authored-By header
[ ] No AI mentions in commit message
[ ] No AI mentions in changed files
[ ] Code style matches repo conventions
[ ] Comment density matches surrounding code
[ ] No over-engineering or unnecessary abstractions
[ ] PR description (if applicable) reads human-written
[ ] PR follows repo's PR template (if one exists)
[ ] No model names or AI terminology anywhereUser says "drop undercover" or "normal mode" to return to standard operation.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 3,486 | 1,093 | -69% | 1 | 1 | 0% | 524 | 969 | +85% | 0 | 0 | — |
case-02 | fail→fail | 6,054 | 1,573 | -74% | 1 | 1 | 0% | 947 | 965 | +2% | 0 | 0 | — |
case-03 | fail→fail | 3,045 | 1,287 | -58% | 1 | 1 | 0% | 511 | 953 | +86% | 0 | 0 | — |
case-04 | fail→pass | 7,254 | 4,547 | -37% | 1 | 1 | 0% | 1,305 | 1,608 | +23% | 0 | 0 | — |
case-05 | fail→pass | 9,202 | 3,799 | -59% | 1 | 1 | 0% | 1,472 | 1,459 | -1% | 0 | 0 | — |
case-06 | fail→pass | 3,479 | 7,419 | +113% | 1 | 1 | 0% | 577 | 2,096 | +263% | 0 | 0 | — |
case-07 | pass→pass | 6,584 | 5,059 | -23% | 1 | 1 | 0% | 1,252 | 1,783 | +42% | 0 | 0 | — |
case-08 | fail→pass | 5,945 | 5,494 | -8% | 1 | 1 | 0% | 1,041 | 1,838 | +77% | 0 | 0 | — |
case-09 | fail→pass | 7,594 | 7,109 | -6% | 1 | 1 | 0% | 1,313 | 2,018 | +54% | 0 | 0 | — |
case-10 | pass→pass | 10,042 | 8,540 | -15% | 1 | 1 | 0% | 1,837 | 2,272 | +24% | 0 | 0 | — |
case-11 | fail→fail | 5,755 | 5,225 | -9% | 1 | 1 | 0% | 1,127 | 1,832 | +63% | 0 | 0 | — |
case-12 | fail→fail | 9,197 | 8,161 | -11% | 1 | 1 | 0% | 1,683 | 2,441 | +45% | 0 | 0 | — |
case-13 | fail→fail | 2,708 | 5,832 | +115% | 1 | 1 | 0% | 425 | 1,875 | +341% | 0 | 0 | — |
case-14 | fail→pass | 4,420 | 6,789 | +54% | 1 | 1 | 0% | 639 | 2,056 | +222% | 0 | 0 | — |
case-15 | fail→pass | 9,207 | 10,988 | +19% | 1 | 1 | 0% | 1,348 | 2,683 | +99% | 0 | 0 | — |
case-16 | fail→pass | 9,497 | 5,458 | -43% | 1 | 1 | 0% | 1,558 | 1,635 | +5% | 0 | 0 | — |
case-17 | fail→fail | 6,754 | 1,632 | -76% | 1 | 1 | 0% | 1,146 | 1,078 | -6% | 0 | 0 | — |
case-18 | pass→pass | 2,900 | 1,333 | -54% | 1 | 1 | 0% | 404 | 946 | +134% | 0 | 0 | — |
case-19 | fail→pass | 1,365 | 1,175 | -14% | 1 | 1 | 0% | 153 | 908 | +493% | 0 | 0 | — |
case-20 | pass→pass | 8,564 | 6,479 | -24% | 1 | 1 | 0% | 1,483 | 1,740 | +17% | 0 | 0 | — |
case-21 | pass→pass | 8,292 | 5,109 | -38% | 1 | 1 | 0% | 1,618 | 1,645 | +2% | 0 | 0 | — |
case-22 | pass→pass | 22,227 | 12,690 | -43% | 1 | 1 | 0% | 1,836 | 2,320 | +26% | 0 | 0 | — |
case-23 | pass→fail | 4,563 | 7,427 | +63% | 1 | 1 | 0% | 881 | 2,063 | +134% | 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. 23 cases were attempted. The headline lift of +35 percentage points is the difference between those two pass rates over the 23 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.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 8/3/2026 | 0% |
Other measured skills in the registry, with their headline benchmark lift.