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Get Started Free →Check an installed plugin's health — verify manifest SHA256 matches files on disk, detect tampering or corruption. Use when the user asks if a plugin is working, reports a bug, or wants to validate integrity. Triggers on "plugin X está funcionando?", "health plugin X", "status plugin X", "está ok o plugin Y?".
.claude/skills/evolution-foundation-plugin-health/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | -32% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -56% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -57% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -15% | 0% |
| case-12 | ✗→✓ | ▲ Improved | -17% | 0% |
Run on-demand integrity check for a plugin. Compares .install-manifest.json SHA256 entries against actual files on disk. Detects tampering, partial corruption, or missing files.
If not given, list and ask:
pythonfrom dashboard.backend.sdk_client import evo plugins = evo.get("/api/plugins")
pythonhealth = evo.get(f"/api/plugins/{slug}/health")
Response shape:
json{ "status": "active" | "broken" | "routine_activation_pending", "reason": "sha_mismatch" | "missing_files" | null, "files": [".claude/agents/plugin-foo-agent.md", ...], // if broken "checked_at": "..." }
If active: plugin is healthy. Summarise: total files checked, all SHA256 matching, registered hooks/heartbeats/routines still wired.
If broken:
plugin-install with same source URL (overwrites files, preserves data)If routine_activation_pending: scheduler was offline during install. Tell user to start/restart scheduler.
HTTP 404 not_found — plugin not installed.HTTP 500 health_check_failed — filesystem permission issue or manifest unreadable. Check ADWs/logs/plugins/..claude/ migration. Health check is diagnostic, not autofix.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 15,130 | 6,454 | -57% | 1 | 1 | 0% | 3,013 | 942 | -69% | 0 | 0 | — |
case-02 | fail→fail | 13,669 | 4,629 | -66% | 1 | 1 | 0% | 2,305 | 657 | -71% | 0 | 0 | — |
case-03 | fail→fail | 3,454 | 2,816 | -18% | 1 | 1 | 0% | 414 | 722 | +74% | 0 | 0 | — |
case-04 | fail→fail | 6,779 | 7,758 | +14% | 1 | 1 | 0% | 1,200 | 1,784 | +49% | 0 | 0 | — |
case-05 | pass→pass | 9,381 | 6,873 | -27% | 1 | 1 | 0% | 1,802 | 1,760 | -2% | 0 | 0 | — |
case-06 | pass→pass | 11,232 | 7,516 | -33% | 1 | 1 | 0% | 2,072 | 1,741 | -16% | 0 | 0 | — |
case-07 | fail→pass | 10,310 | 4,180 | -59% | 1 | 1 | 0% | 1,738 | 1,181 | -32% | 0 | 0 | — |
case-08 | fail→pass | 13,122 | 3,011 | -77% | 1 | 1 | 0% | 2,181 | 966 | -56% | 0 | 0 | — |
case-09 | pass→pass | 9,657 | 2,417 | -75% | 1 | 1 | 0% | 1,771 | 825 | -53% | 0 | 0 | — |
case-10 | fail→pass | 12,902 | 2,747 | -79% | 1 | 1 | 0% | 2,223 | 958 | -57% | 0 | 0 | — |
case-11 | fail→pass | 8,485 | 3,970 | -53% | 1 | 1 | 0% | 1,335 | 1,136 | -15% | 0 | 0 | — |
case-12 | fail→pass | 11,992 | 6,790 | -43% | 1 | 1 | 0% | 1,923 | 1,589 | -17% | 0 | 0 | — |
case-13 | pass→pass | 10,063 | 2,899 | -71% | 1 | 1 | 0% | 1,615 | 944 | -42% | 0 | 0 | — |
case-14 | pass→pass | 11,160 | 6,342 | -43% | 1 | 1 | 0% | 1,865 | 748 | -60% | 0 | 0 | — |
case-15 | fail→pass | 11,415 | 4,070 | -64% | 1 | 1 | 0% | 1,766 | 892 | -49% | 0 | 0 | — |
case-16 | pass→pass | 6,185 | 2,904 | -53% | 1 | 1 | 0% | 990 | 839 | -15% | 0 | 0 | — |
case-17 | fail→pass | 16,072 | 1,658 | -90% | 1 | 1 | 0% | 2,863 | 726 | -75% | 0 | 0 | — |
case-18 | fail→pass | 8,070 | 1,662 | -79% | 1 | 1 | 0% | 1,341 | 673 | -50% | 0 | 0 | — |
case-19 | fail→pass | 13,953 | 2,845 | -80% | 1 | 1 | 0% | 2,214 | 978 | -56% | 0 | 0 | — |
case-20 | pass→pass | 6,175 | 1,686 | -73% | 1 | 1 | 0% | 1,058 | 719 | -32% | 0 | 0 | — |
case-21 | fail→pass | 3,790 | 1,415 | -63% | 1 | 1 | 0% | 630 | 680 | +8% | 0 | 0 | — |
case-22 | fail→pass | 6,256 | 2,196 | -65% | 1 | 1 | 0% | 1,000 | 710 | -29% | 0 | 0 | — |
case-23 | pass→pass | 14,463 | 2,119 | -85% | 1 | 1 | 0% | 2,211 | 792 | -64% | 0 | 0 | — |
case-24 | fail→pass | 8,044 | 1,248 | -84% | 1 | 1 | 0% | 1,335 | 627 | -53% | 0 | 0 | — |
case-25 | pass→pass | 8,331 | 4,115 | -51% | 1 | 1 | 0% | 1,363 | 1,145 | -16% | 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. 25 cases were attempted, and 23 counted toward the lift figure. The other 2 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 +48 percentage points is the difference between those two pass rates over the 23 comparable cases.
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.