Swarm Metrics
SkillMonitoring & opsAggregate and interpret swarm metrics for status and report surfaces
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the Swarm Metrics skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by effortlessmetrics/perl-lsp in .claude/skills/swarm-metrics/SKILL.md and read by Ahel’s review.
Use this skill when you need to inspect .ops-perl-lsp/swarm-metrics.jsonl,
summarize recent swarm activity, or write status/report commentary that is
backed by the metrics file.
Canonical Analyzer
Prefer the repo-native analyzer:
cargo xtask swarm-summary .ops-perl-lsp --since 24h --limit 10
cargo xtask swarm-summary .ops-perl-lsp --since 7d --limit 20
cargo xtask swarm-summary .ops-perl-lsp --since 24h --limit 10 --format json
Reporting Patterns
- Use
--since 24hfor/swarm-statusstyle check-ins. - Use
--since 7dfor/swarm-reportand weekly rollups. - Use
--format jsonwhen another tool needs machine-readable summary data. - Call out the top event types, agent types, sessions, and worktree hotspots.
- Prefer the analyzer output over raw
tail/jqsnippets so the same grouping rules are used everywhere.
Notes
- The metrics file is append-only and may contain mixed event shapes.
- Missing fields should be treated as
(none)rather than dropped. - If the analyzer reports zero matching entries, mention the window and the file path so the operator can distinguish "no data" from "wrong directory".
Signals
- GitHub stars
- 26
- Forks
- 7
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
swarm-metrics- Source
- github.com/effortlessmetrics/perl-lsp
github.com/effortlessmetrics/perl-lsp
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