agentsclimarketplace

Agent health

Skill tranhieutt/software_development_department/.claude/skills/agent-health

Software Development Department

Install
npx -y skills add tranhieutt/software_development_department --skill agent-health

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What its author says it does

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Reads production/traces/agent-metrics.jsonl and displays a per-agent performance summary table for the current or a specified session. Highlights agents with high error rates or OPEN circuit breaker state.

SKILL.md

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Agent Health

Display a performance summary table from production/traces/agent-metrics.jsonl, cross-referenced with production/session-state/circuit-state.json for live circuit breaker states.

Steps

1. Parse arguments

FlagDefaultDescription
--session <branch>current branchFilter entries by session field
--agent <name>allShow only this agent
--since <date>no limitOnly entries with date >= YYYY-MM-DD
--logfalseIf set, append a fresh metrics snapshot to agent-metrics.jsonl

Get current branch: git branch --show-current.

2. Read data sources

Read both files in parallel:

  • production/traces/agent-metrics.jsonl β€” historical metrics per agent per session
  • production/session-state/circuit-state.json β€” live circuit breaker states

If agent-metrics.jsonl contains only the schema header line (no actual entries):

πŸ“­ No agent metrics recorded yet for this session.
   Metrics are written when agents use /agent-health --log
   or at the end of a session via /save-state.

Circuit breaker states (live):
[show table from circuit-state.json only]

3. Aggregate metrics

For each agent, compute across the filtered entries:

  • total_tasks = tasks_completed + tasks_failed + tasks_blocked
  • success_rate = tasks_completed / total_tasks * 100 (0 if no tasks)
  • error_rate = latest error_rate field value
  • circuit_state = from circuit-state.json (live, not from log)

4. Render health table

πŸ₯ Agent Health Report β€” session: <branch> Β· <date range>
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Agent                  Tasks  βœ… Done  ❌ Failed  β›” Blocked  Success%  Circuit
──────────────────────────────────────────────────────────────────────────────
backend-developer          8       7          1          0      87.5%   🟒 CLOSED
frontend-developer         5       5          0          0     100.0%   🟒 CLOSED
qa-engineer                  6       4          2          0      66.7%   🟑 HALF-OPEN
data-engineer              2       2          0          0     100.0%   🟒 CLOSED
diagnostics                1       0          1          0       0.0%   πŸ”΄ OPEN
──────────────────────────────────────────────────────────────────────────────
TOTAL                     22      18          4          0      81.8%

⚠️  Agents needing attention:
  πŸ”΄ diagnostics      β€” Circuit OPEN Β· fallback: surface to user
  🟑 qa-engineer        β€” Circuit HALF-OPEN Β· 2 failures this session

Circuit state icons:

  • 🟒 CLOSED β€” healthy
  • 🟑 HALF-OPEN β€” recovering, monitor closely
  • πŸ”΄ OPEN β€” bypassed, routed to fallback

Flag agents as needing attention if:

  • circuit_state is OPEN or HALF-OPEN
  • success_rate < 70%
  • tasks_failed >= 2

5. Log snapshot (if --log)

If --log flag was passed, append one entry per active agent to production/traces/agent-metrics.jsonl:

{"date":"<YYYY-MM-DD>","session":"<branch>","agent":"<agent>","tasks_completed":<N>,"tasks_failed":<N>,"tasks_blocked":<N>,"avg_tokens_est":<N>,"error_rate":<0.0-1.0>,"circuit_state":"CLOSED|OPEN|HALF-OPEN","notes":"<optional>"}

Get circuit_state from circuit-state.json. Estimate avg_tokens_est from decision ledger entry count Γ— 800 tokens (rough estimate per entry) if no exact token data is available. Note this is an estimate and mark with _est suffix.

Print after logging:

βœ… Metrics snapshot logged β†’ production/traces/agent-metrics.jsonl
   [N] agents recorded Β· <date>

6. Suggest actions

After the table, if any agents need attention:

πŸ’‘ Suggested actions:
  β€’ /resume-from <task_id>        β€” recover failed task checkpoint
  β€’ /trace-history --risk High    β€” audit high-risk decisions
  β€’ Check circuit-state.json      β€” update OPEN agents once issue resolved

How metrics get into the file

Agents append entries in two ways:

  1. Manual: Run /agent-health --log at end of session
  2. Via /save-state: When saving state with a task_id, metrics for the active agent are appended automatically

The file grows one JSON line per agent per session. Use --since to filter to recent sessions and avoid reading stale data from weeks ago.


Quick examples

# Summary for current session
/agent-health

# Check one agent across all time
/agent-health --agent qa-engineer

# Log a fresh snapshot and view it
/agent-health --log

# Review last 7 days
/agent-health --since 2026-04-09

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