nntrivi2001
57dc91585d
Internal SmartGift build of a Claude Code monitoring dashboard. Lanes: a durable unit of parallel agent work, one per working directory, tracked across session restarts. Managed lanes are git worktrees the dashboard provisions and can reset or remove behind a three-check destroy guard and a counted preflight; adopted lanes are directories you already own and are never destroyable. Pipelines: a lane moves through pipeline stages. A stage the agent declares with evidence renders green; a stage inferred from the tool-event stream renders dashed amber and never counts as done. Detection is forward-only within a 30-minute window, and never writes the declared stage. Workspace: one page at /run with a lane grid, the selected lane's pipeline, and a full Claude console behind a disclosure.
56 lines
2.6 KiB
Markdown
56 lines
2.6 KiB
Markdown
---
|
||
description: >
|
||
Audit model delegation and subagent effectiveness for a session — which
|
||
models handled which subagent types, per-type success rates and average
|
||
durations, and wasted delegations (heavy models on trivial work or types
|
||
that consistently fail) — using the Agent Monitor workflow intelligence API.
|
||
Use when reviewing how a session delegated work across models and subagents.
|
||
---
|
||
|
||
# Delegation Audit
|
||
|
||
Audit how a Claude Code session delegated work: model-to-subagent mapping and whether each delegation paid off.
|
||
|
||
## Input
|
||
|
||
The user provides: **$ARGUMENTS**
|
||
|
||
A session ID. If empty, fetch `GET /api/sessions?limit=1` and audit the most recent session, stating which one.
|
||
|
||
## Data Sources
|
||
|
||
| Endpoint | Returns |
|
||
|----------|---------|
|
||
| `GET /api/workflows/{sessionId}` | The `modelDelegation` dataset (which models are delegated which subagent types) and the `effectiveness` dataset (per-type completion/success rate, avg duration, task success) |
|
||
| `GET /api/agents` | Raw subagent records (`type`, `model`, `status`, `depth`, `parent`) to corroborate counts and statuses |
|
||
|
||
## Report Sections
|
||
|
||
### 1. Delegation Matrix
|
||
From `modelDelegation`: a model × subagent-type table of how many agents of each type each model ran.
|
||
| Model | explore | code-review | debugger | ... | Total |
|
||
|-------|---------|-------------|----------|-----|-------|
|
||
|
||
### 2. Effectiveness by Subagent Type
|
||
From `effectiveness`: per type, the success rate and average duration.
|
||
| Subagent type | Count | Success rate | Avg duration | Verdict |
|
||
|---------------|-------|--------------|--------------|---------|
|
||
Mark types below ~70% success as low-yield.
|
||
|
||
### 3. Wasted Delegations
|
||
Flag, with evidence:
|
||
- A heavy model (e.g. Opus) assigned to a simple/low-stakes subagent type that a cheaper model handled successfully elsewhere — candidate for rebalancing.
|
||
- Subagent types with low success rates (effort spent, task not completed).
|
||
- Duplicate delegations: the same type spawned repeatedly with poor success (retry churn).
|
||
|
||
### 4. Rebalancing Suggestions
|
||
Concrete model reassignments grounded in the matrix and effectiveness data. State the type, the model used, the success rate, and the suggested model — only where the data supports it.
|
||
|
||
## Output
|
||
|
||
- Markdown tables for the matrix and effectiveness.
|
||
- Success rates as percentages; durations in human units (e.g. `1m 12s`).
|
||
- Use ▲/▼ when comparing a type's success rate against the session-wide average.
|
||
- Cite only numbers returned by the API; do not infer success rates that the `effectiveness` dataset does not provide.
|
||
- If the dashboard is unreachable, tell the user to start it with `npm start` from the repo root.
|