| name | report |
| description | Use this skill when the user wants a project-wide health summary of all ACED eval suites — pass rates, trends, and which agent configurations need attention. |
ACED Report
Generate a project-wide health dashboard across all eval suites.
Discover eval suites
Scan the project spec (.agents/specs/) for behavioral-leaf nodes carrying an eval.md (subject + run policy) alongside their <node>.feature. For each, read:
eval.md for target path and threshold- The most recent file in
results/ (sort by filename descending)
- The second-most-recent file in
results/ for trend (if it exists)
If no matching directories are found, report that no eval suites are initialized and suggest sdd:start-mission (the conductor resolves the ACED roles).
Compute per-suite metrics
For each suite:
-
Pass rate (latest run)
-
Pass rate delta vs. previous run (trend)
-
Worst failing case: its name, and its total against its own maximum (3/5 vs 4)
-
Mean %max — the mean of each rubric scenario's total ÷ its own maximum, as a percentage
Never mean the raw totals. Each scenario's rubric declares its own per-dimension maxima, so
totals from different scenarios sit on different scales and averaging them measures nothing. Normalize
first: total ÷ max per scenario, then mean those fractions. Always label the column %max so it is
never read as a raw score. A suite with no rubric scenarios (all boolean or trigger) has no %max —
render .
