os-improvement-reportlisted
Install: claude install-skill richfrem/agent-plugins-skills
# Loop Progress Report
Visual and text reporting on the agentic loop improvement cycle — across any plugin that
maintains an `improvement-ledger.md` and `results.tsv` per skill.
The reference output is the autoresearch progress chart: green KEEP dots on a timeline,
gray DISCARD dots, running-best step line, annotations showing what each improvement was.
This skill produces the same chart for agentic-os and exploration-cycle-plugin improvement cycles.
Dependencies (Python 3.8+, pandas, matplotlib) are in `references/detailed-reference.md`.
## What It Reads
| Source | Priority | Content |
|--------|----------|---------|
| `context/experiment-log/index.md` | **Primary** | All logged runs; filter `result_type: numeric` for KEEP/DISCARD/score data from orchestrator runs |
| `context/memory/improvement-ledger.md` | Legacy fallback | Eval score progression written by os-improvement-loop Stage 4.7; used if experiment log has no numeric entries |
| `.agents/skills/*/evals/results.tsv` | Supplement | Per-skill detailed eval score history |
The experiment log is the unified source of truth for numeric results. The improvement ledger
is a legacy format maintained for backward compatibility with older loop runs.
## What It Produces
| Output | Description |
|--------|-------------|
| `context/memory/reports/progress_YYYYMMDD_HHMM.png` | Progress chart: KEEP/DISCARD timeline, running-best step line, change annotations |
| `context/memory/reports/summary_YYYYMMDD_HHMM.md` | Text summ