jmagly/rlm-status
agentic/code/addons/rlm/skills/rlm-status/SKILL.md
Show status of RLM task tree execution
$ install --global
skillsauthnpx skillsauth add jmagly/aiwg rlm-statusInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- namespace:
- aiwg
- name:
- rlm-status
- platforms:
- [all]
- description:
- Show status of RLM task tree execution
- category:
- rlm
RLM Status Command
Display current status of RLM (Recursive Language Model) task tree execution, including decomposition hierarchy, sub-call progress, cost tracking, and completion estimates.
Instructions
When invoked, analyze RLM task tree state and present comprehensive status:
-
Load Task Tree State
- Load task tree from
.aiwg/rlm/trees/{tree_id}/state.json - Load all sub-call states
- Load cost tracking data
- Load trajectory history
- Load task tree from
-
Display Tree Structure
- Show task decomposition hierarchy
- Mark active vs completed vs failed sub-calls
- Display depth distribution
- Show parallelization status
-
Calculate Progress Metrics
- Completion rate: % of sub-calls completed
- Active sub-calls: Currently executing tasks
- Failed sub-calls: Tasks that encountered errors
- Total cost: Cumulative token/USD cost
- Cost by depth: Cost breakdown by tree level
- Time estimates: Predicted completion time
-
Present Status Dashboard
- Tree visualization (if
--treeflag) - Cost summary (if
--costflag) - JSON export (if
--jsonflag) - Default: condensed summary
- Tree visualization (if
Arguments
--tree- Show full task decomposition tree visualization--cost- Show detailed cost breakdown by sub-call--depth [N]- Limit tree display to depth N (default: all)--json- Output machine-readable JSON--export [path]- Export detailed report to file[tree_id]- Specific tree ID (default: most recent active tree)
Default Output Format
╭─────────────────────────────────────────────────────────╮
│ RLM Task Tree Status │
│ Tree ID: rlm-analyze-codebase-a1b2c3d4 │
├─────────────────────────────────────────────────────────┤
│ Task: Analyze authentication module for security issues │
│ Status: RUNNING │
│ Started: 2026-02-09 11:30:00 │
│ Duration: 5m 23s │
├─────────────────────────────────────────────────────────┤
│ Progress │
│ Total Sub-Calls: 15 │
│ ✓ Completed: 8 (53%) │
│ ⚙ Active: 4 (27%) │
│ ⏸ Pending: 2 (13%) │
│ ✗ Failed: 1 (7%) │
│ │
│ Depth Distribution │
│ Root (depth 0): 1 │
│ Level 1: 5 │
│ Level 2: 9 │
│ │
│ Cost │
│ Input Tokens: 125,430 │
│ Output Tokens: 42,156 │
│ Total Cost: $0.84 │
│ │
│ Est. Completion: 2026-02-09 11:40:00 (9m 37s remaining) │
╰─────────────────────────────────────────────────────────╯
Active Sub-Calls:
[1.2] Analyze token validation logic (80% complete)
[1.3] Review password hashing implementation (45% complete)
[2.1] Check JWT expiration handling (30% complete)
[2.4] Audit session management (15% complete)
Recent Completion:
✓ [1.1] Parse authentication module structure
✓ [1.4] Identify security-relevant functions
Failed:
✗ [2.2] Analyze OAuth flow (error: file not found)
Use --tree for full decomposition hierarchy
Use --cost for detailed cost breakdown
Tree Visualization Format (--tree)
╭─────────────────────────────────────────────────────────╮
│ RLM Task Tree: rlm-analyze-codebase-a1b2c3d4 │
├─────────────────────────────────────────────────────────┤
│ │
│ [0] Root: Analyze authentication module │
│ │ Status: RUNNING | Cost: $0.12 | 2m 15s │
│ │ │
│ ├─ ✓ [1.1] Parse module structure │
│ │ │ Completed | Cost: $0.05 | 45s │
│ │ │ │
│ │ ├─ ✓ [2.1] Extract function signatures │
│ │ │ Completed | Cost: $0.02 | 18s │
│ │ └─ ✓ [2.2] Map dependencies │
│ │ Completed | Cost: $0.03 | 27s │
│ │ │
│ ├─ ⚙ [1.2] Analyze token validation │
│ │ │ ACTIVE (80%) | Cost: $0.08 | 1m 12s (running) │
│ │ │ │
│ │ ├─ ✓ [2.3] Check signature verification │
│ │ │ Completed | Cost: $0.03 | 22s │
│ │ ├─ ⚙ [2.4] Review expiration logic │
│ │ │ ACTIVE (60%) | Cost: $0.04 | 35s (running) │
│ │ └─ ⏸ [2.5] Audit token refresh │
│ │ PENDING │
│ │ │
│ ├─ ⚙ [1.3] Review password hashing │
│ │ │ ACTIVE (45%) | Cost: $0.06 | 58s (running) │
│ │ │ │
│ │ ├─ ✓ [2.6] Identify hash algorithm │
│ │ │ Completed | Cost: $0.02 | 15s │
│ │ └─ ⚙ [2.7] Check salt usage │
│ │ ACTIVE (30%) | Cost: $0.04 | 43s (running) │
│ │ │
│ ├─ ⏸ [1.4] Audit session management │
│ │ PENDING │
│ │ │
│ └─ ✗ [1.5] Analyze OAuth flow │
│ FAILED | Cost: $0.01 | 8s │
│ Error: Required file oauth.ts not found │
│ │
╰─────────────────────────────────────────────────────────╯
Legend:
✓ Completed ⚙ Active ⏸ Pending ✗ Failed
Cost Breakdown Format (--cost)
╭─────────────────────────────────────────────────────────╮
│ RLM Cost Analysis │
│ Tree ID: rlm-analyze-codebase-a1b2c3d4 │
├─────────────────────────────────────────────────────────┤
│ │
│ Cost by Depth │
│ ┌──────┬────────────┬─────────────┬──────────┐ │
│ │ Lvl │ Sub-Calls │ Tokens │ Cost │ │
│ ├──────┼────────────┼─────────────┼──────────┤ │
│ │ 0 │ 1 │ 12,450 │ $0.12 │ │
│ │ 1 │ 5 │ 78,320 │ $0.39 │ │
│ │ 2 │ 9 │ 76,816 │ $0.33 │ │
│ │ TOTAL│ 15 │ 167,586 │ $0.84 │ │
│ └──────┴────────────┴─────────────┴──────────┘ │
│ │
│ Cost by Model │
│ ┌──────────────┬────────────┬──────────┐ │
│ │ Model │ Tokens │ Cost │ │
│ ├──────────────┼────────────┼──────────┤ │
│ │ opus │ 12,450 │ $0.12 │ (root) │
│ │ sonnet │ 122,890 │ $0.61 │ (sub-calls) │
│ │ haiku │ 32,246 │ $0.11 │ (leaf tasks) │
│ │ TOTAL │ 167,586 │ $0.84 │ │
│ └──────────────┴────────────┴──────────┘ │
│ │
│ Top 5 Most Expensive Sub-Calls │
│ 1. [1.2] Analyze token validation $0.08 (9.5%) │
│ 2. [0] Root task $0.12 (14.3%) │
│ 3. [1.3] Review password hashing $0.06 (7.1%) │
│ 4. [1.1] Parse module structure $0.05 (6.0%) │
│ 5. [2.7] Check salt usage $0.04 (4.8%) │
│ │
│ Budget Status │
│ Budget: 500,000 tokens ($2.50 target) │
│ Used: 167,586 tokens ($0.84) │
│ Remaining: 332,414 tokens ($1.66) │
│ Utilization: 33.5% │
│ │
│ Projected Final Cost: $1.12 (based on current rate) │
╰─────────────────────────────────────────────────────────╯
JSON Output Format (--json)
{
"tree_id": "rlm-analyze-codebase-a1b2c3d4",
"task": "Analyze authentication module for security issues",
"status": "RUNNING",
"started_at": "2026-02-09T11:30:00Z",
"duration_seconds": 323,
"progress": {
"total_sub_calls": 15,
"completed": 8,
"active": 4,
"pending": 2,
"failed": 1,
"completion_rate": 0.53
},
"depth_distribution": {
"0": 1,
"1": 5,
"2": 9,
"max_depth": 2
},
"cost": {
"input_tokens": 125430,
"output_tokens": 42156,
"total_tokens": 167586,
"total_cost_usd": 0.84,
"by_depth": [
{"depth": 0, "tokens": 12450, "cost": 0.12},
{"depth": 1, "tokens": 78320, "cost": 0.39},
{"depth": 2, "tokens": 76816, "cost": 0.33}
],
"by_model": [
{"model": "opus", "tokens": 12450, "cost": 0.12},
{"model": "sonnet", "tokens": 122890, "cost": 0.61},
{"model": "haiku", "tokens": 32246, "cost": 0.11}
],
"budget": {
"tokens": 500000,
"target_cost_usd": 2.50,
"used_tokens": 167586,
"used_cost_usd": 0.84,
"remaining_tokens": 332414,
"remaining_cost_usd": 1.66,
"utilization": 0.335
},
"projected_final_cost_usd": 1.12
},
"active_sub_calls": [
{
"id": "1.2",
"task": "Analyze token validation logic",
"progress": 0.80,
"duration_seconds": 72,
"cost_usd": 0.08
},
{
"id": "1.3",
"task": "Review password hashing implementation",
"progress": 0.45,
"duration_seconds": 58,
"cost_usd": 0.06
},
{
"id": "2.1",
"task": "Check JWT expiration handling",
"progress": 0.30,
"duration_seconds": 35,
"cost_usd": 0.04
},
{
"id": "2.4",
"task": "Audit session management",
"progress": 0.15,
"duration_seconds": 43,
"cost_usd": 0.04
}
],
"completed_sub_calls": [
{
"id": "1.1",
"task": "Parse authentication module structure",
"duration_seconds": 45,
"cost_usd": 0.05
},
{
"id": "1.4",
"task": "Identify security-relevant functions",
"duration_seconds": 38,
"cost_usd": 0.04
}
],
"failed_sub_calls": [
{
"id": "2.2",
"task": "Analyze OAuth flow",
"error": "file not found: oauth.ts",
"duration_seconds": 8,
"cost_usd": 0.01
}
],
"estimates": {
"completion_time": "2026-02-09T11:40:00Z",
"remaining_seconds": 577,
"confidence": 0.75
}
}
State File Integration
The command reads from these RLM state files:
Primary State
.aiwg/rlm/
├── registry.json # Active trees registry
└── trees/
├── rlm-analyze-codebase-a1b2c3d4/
│ ├── state.json # Main state (RLM task tree schema)
│ ├── trajectory.json # Execution trajectory
│ ├── cost.json # Detailed cost tracking
│ └── sub-calls/
│ ├── 1.1-state.json # Sub-call 1.1 state
│ ├── 1.2-state.json # Sub-call 1.2 state
│ └── ...
└── rlm-refactor-module-b2c3d4e5/
└── ...
State Schema Fields Used
From rlm-state.yaml:
tree_id: string # Tree identifier
status: enum # INITIALIZING | RUNNING | COMPLETING | COMPLETED | FAILED | ABORTED
root_task: string # Root task description
started_at: datetime # Start timestamp
last_updated: datetime # Last state update
completed_at: datetime | null # Completion timestamp
configuration:
max_depth: integer # Maximum tree depth
max_sub_calls: integer # Max total sub-calls
budget_tokens: integer # Token budget
parallel_sub_calls: boolean # Allow parallel execution
sub_calls:
- id: string # Sub-call ID (e.g., "1.2")
depth: integer # Tree depth (0 = root)
task: string # Task description
status: enum # PENDING | ACTIVE | COMPLETED | FAILED
parent_id: string | null # Parent sub-call ID
started_at: datetime | null # Start timestamp
completed_at: datetime | null # Completion timestamp
cost:
input_tokens: integer
output_tokens: integer
total_cost_usd: number
progress: number # 0.0 to 1.0 (for ACTIVE sub-calls)
error: string | null # Error message (if FAILED)
metrics:
total_sub_calls: integer
completed_sub_calls: integer
active_sub_calls: integer
pending_sub_calls: integer
failed_sub_calls: integer
total_tokens: integer
total_cost_usd: number
depth_distribution: object # {depth: count}
Usage Examples
Basic Status Check
# Show status of most recent active tree
/rlm-status
# Show status of specific tree
/rlm-status rlm-analyze-codebase-a1b2c3d4
Full Tree Visualization
# Show complete decomposition tree
/rlm-status --tree
# Limit tree depth to 2 levels
/rlm-status --tree --depth 2
Cost Analysis
# Show detailed cost breakdown
/rlm-status --cost
# Cost breakdown for specific tree
/rlm-status rlm-analyze-codebase-a1b2c3d4 --cost
Export Reports
# Export JSON report
/rlm-status --json > rlm-report.json
# Export detailed report to file
/rlm-status --export .aiwg/rlm/reports/status-$(date +%Y%m%d).md
Monitoring Active Execution
# Watch mode (update every 5 seconds)
watch -n 5 'aiwg rlm-status --tree'
# Or use while loop for continuous monitoring
while true; do
clear
aiwg rlm-status
sleep 5
done
Progress Calculation
Progress for ACTIVE sub-calls is estimated based on:
- Token consumption:
used_tokens / estimated_total_tokens - Depth completion:
completed_children / total_children(if sub-call has children) - Time elapsed:
elapsed_time / estimated_duration(based on similar tasks)
The displayed progress percentage is a weighted average:
- 50% token consumption
- 30% child completion (if applicable)
- 20% time-based estimate
Completion Time Estimates
Estimated completion time is calculated using:
- Average sub-call duration: Mean duration of completed sub-calls at each depth
- Remaining sub-calls: Count of PENDING and ACTIVE sub-calls
- Parallelization factor: Adjust for parallel execution (if enabled)
- Current rate: Tokens/second consumption rate
Formula:
estimated_remaining = (
(pending_sub_calls * avg_duration_by_depth) / parallelization_factor
+ sum(active_sub_call.estimated_remaining)
)
completion_time = current_time + estimated_remaining
Confidence level indicates reliability:
- High (>0.8): >50% sub-calls completed, stable rate
- Medium (0.5-0.8): 20-50% completed
- Low (<0.5): <20% completed, rate unstable
Error Handling
No Active Trees
No active RLM trees found.
Use /rlm-query to start a new task tree.
Tree Not Found
Error: Tree 'rlm-nonexistent-a1b2c3d4' not found.
Active trees:
- rlm-analyze-codebase-a1b2c3d4 (running)
- rlm-refactor-module-b2c3d4e5 (completed)
Use /rlm-status [tree_id] to view specific tree.
Corrupted State
Warning: State file for tree 'rlm-analyze-codebase-a1b2c3d4' is corrupted.
Attempting recovery from last checkpoint...
- Checkpoint found: iteration 12
- Recovered state up to sub-call 1.3
- 2 recent sub-calls may need re-execution
Recovered state displayed below. To resume, restart the originating
RLM command and pass the recovered task tree ID. To discard the recovered
state and start fresh, delete the state file under `.aiwg/rlm-runs/`.
Integration Points
With RLM Query Command
# Start RLM query and get tree ID
tree_id=$(aiwg rlm-query "Analyze auth module" --return-id)
# Monitor progress
watch -n 5 "aiwg rlm-status $tree_id"
With RLM Batch Command
# Run batch processing
aiwg rlm-batch --tasks batch-config.yaml
# View batch progress
aiwg rlm-status --tree
With Agent Loops
# Al can use RLM for sub-tasks
# View combined status
aiwg ralph-status && aiwg rlm-status
Performance Considerations
For large trees (>100 sub-calls):
- Default view: Shows summary only (fast)
- Tree view: Lazy-loads sub-call details
- Cost view: Aggregates at depth level first
- JSON export: Full detail (may take several seconds)
Use --depth N to limit tree display for very deep hierarchies.
Configuration
Override display settings in .aiwg/config.yml:
rlm:
status:
default_view: summary # summary | tree | cost
max_tree_depth: 5 # Auto-limit tree display
refresh_interval: 5 # Seconds (for watch mode)
show_estimates: true # Display completion estimates
show_budget: true # Display budget utilization
cost_precision: 2 # Decimal places for cost display
References
- @$AIWG_ROOT/agentic/code/addons/rlm/schemas/rlm-state.yaml - RLM state schema
- @$AIWG_ROOT/agentic/code/addons/rlm/schemas/rlm-task-tree.yaml - Task tree structure
- @$AIWG_ROOT/agentic/code/addons/rlm/schemas/rlm-cost.yaml - Cost tracking schema
- @$AIWG_ROOT/agentic/code/addons/rlm/schemas/rlm-trajectory.yaml - Execution trajectory
- @$AIWG_ROOT/agentic/code/addons/ralph/schemas/loop-state.yaml - agent loop state reference
- @$AIWG_ROOT/agentic/code/addons/ralph/commands/ralph-status.md - Al status command
- @.aiwg/research/findings/REF-089-recursive-language-models.md - RLM research foundation
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/rules/tao-loop.md - TAO loop structure underlying RLM
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