groove-utilities-stats
Quantified compound-loop dashboard: lessons captured vs graduated, adherence streaks, and task velocity. Use to see whether the workflow is actually compounding.
How do I install this agent skill?
npx skills add https://github.com/andreadellacorte/groove --skill groove-utilities-statsIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill provides a read-only dashboard for project metrics, such as lesson capture rates and adherence streaks. It operates by parsing local project files and using standard development tools (git, python) without external data exfiltration or suspicious execution patterns.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
groove-utilities-stats
Use $ARGUMENTS to specify the period: week (default), month, or all.
Bash fast-path
This skill has a bash script at scripts/stats.sh. Run it directly for faster, model-free execution:
bash .agents/skills/groove-utilities-stats/scripts/stats.sh week
(Pass week, month, or all to match $ARGUMENTS.) If the script exits 0, report its stdout and stop — do not continue with the steps below. If it exits non-zero, continue with the markdown steps (exit 3 means it printed the local metrics but the linear/github task counts still need to be computed below; exit 1 means no .groove/).
Outcome
A read-only dashboard is printed to the conversation quantifying compound-loop health for the period: the compound funnel (lessons captured vs graduated), adherence (daily-log coverage, streak, rollup freshness, ratings), and velocity (task open/closed, commits). No files are written. This answers "is the workflow compounding / am I keeping the rhythm" — for qualitative patterns, it points to /groove-utilities-memory-retrospective.
Acceptance Criteria
- Compound funnel shown: lessons captured (total + in period), graduated (total + in period), graduation rate
- Adherence shown: daily-log coverage over the last
memory.review_daysbusiness days, current streak, weekly/monthly rollup freshness, ratings count + average - Velocity shown: task open/closed counts (if a task backend is configured) and commit count in the period
- Output goes to the conversation only; nothing is written
- Absent data sources are skipped with sensible "n/a"/"NA" placeholders rather than errors
Steps
(Model fallback — the bash fast-path above does this deterministically. Reproduce the same output format.)
-
Memory path is always
.groove/memory/. If.groove/is absent, stop with an install hint. -
Read
.groove/index.mdfrontmatter:tasks.storage(backend; legacy keytasks.backend) andmemory.review_days(default 5). -
Determine date range from $ARGUMENTS:
week= last 7 days,month= last 30 days,all= everything. Call the start<since>. -
Compound funnel:
- Captured: count
## YYYY-MM-DDdated entries across.groove/memory/learned/*.md(excludesignals.md) — total, and those with date ≥<since>. - Graduated: count
[graduated YYYY-MM-DD]markers across the same files — total, and those ≥<since>. - Graduation rate = graduated_total / captured_total as a percentage (
n/aif none captured).
- Captured: count
-
Adherence:
- Daily-log coverage: of the last
review_daysbusiness days (Mon–Fri, ending today), how many have.groove/memory/daily/YYYY-MM-DD.md. - Streak: consecutive most-recent business days (back from today) that have a daily log; stop at the first gap.
- Rollup freshness:
weeklyisfreshif a.groove/memory/weekly/<ISO-year>-W<ISO-week>.mdexists for the current or previous week, elsestale;monthlylikewise for.groove/memory/monthly/YYYY-MM.md. - Ratings: parse
.groove/memory/learned/signals.mdtable rows (| YYYY-MM-DD | N/5 | note |) with date ≥<since>; report count and average (and a▁▂▄▆█sparkline if ≥ 3).
- Daily-log coverage: of the last
-
Velocity:
- Commits:
git log --oneline --since=<since>count. - Tasks, by
tasks.storage:beans: open =beans list --json --no-status completed --no-status scrapped | jq length; closed =--status completed+--status scrapped; best-effort open mistakes/promises = count of non-terminal children under the "Mistakes"/"Promises" epics.linear: via the linear CLI/MCP — assigned issues grouped into open vs done.github:gh issue list --assignee @me --state allgrouped into open vs closed.none: omit task counts (show commits only).
- Commits:
-
Print the dashboard in the Output format below.
Output format
## Groove Stats — <period> (<start> to <today>)
### 🔁 Compound funnel
Lessons captured: <N> (<n> this <period>) Graduated: <G> (<g> this <period>)
Graduation rate: <pct>
### 📿 Adherence
Daily logs: <x>/<review_days> business days Streak: <s> days
Rollups: weekly <fresh|stale>, monthly <fresh|stale>
Ratings: <c> in period | avg <a>/5 <sparkline>
### 🚀 Velocity
Tasks: <open> open / <closed> closed Commits: <k> in period
Open: <m> mistakes, <p> promises
_For qualitative patterns and learnings, run `/groove-utilities-memory-retrospective`._
Constraints
- Read only — never write to any file (no memory, no AGENTS.md, no config).
- Skip any absent data source with a one-line
n/a/NArather than erroring; parse tables and dates defensively. - Paths are hardcoded under
.groove/memory/(not configurable), consistent with the rest of groove. - This skill complements
/groove-utilities-memory-retrospective(qualitative reflection) — do not duplicate its narrative; cross-link it.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/andreadellacorte/groove/groove-utilities-stats">View groove-utilities-stats on skillZs</a>