observe

name	observe
description	Watch and report current state of a target system, process, or entity. Use when monitoring status, inspecting live systems, checking current conditions, or observing runtime behavior.
argument-hint	[target] [aspects] [duration]
disable-model-invocation	false
user-invocable	true
allowed-tools	Read, Grep, Bash
context	fork
agent	explore
layer	PERCEIVE

Intent

Observe and report the current state of a specified target without modifying it. This is the foundation for situational awareness and state modeling.

Success criteria:

• Current state accurately captured with timestamp
• Relevant aspects of the target documented
• At least one evidence anchor per observation
• Uncertainty explicitly noted where state is ambiguous

Compatible schemas:

• schemas/output_schema.yaml

Inputs

Parameter	Required	Type	Description
target	Yes	string	What to observe (file path, URL, process, system)
aspects	No	array[string]	Specific aspects to focus on (e.g., ["status", "errors", "metrics"])
depth	No	string	Observation depth: surface, detailed, exhaustive

Procedure

1. Identify observation target: Clarify exactly what system, process, or entity to observe

   • Validate target is accessible and observable
   • Determine appropriate observation method (read file, query API, check process)

2. Select observation aspects: Determine what properties/attributes to capture

   • If aspects not specified, observe: status, configuration, recent changes, anomalies
   • Prioritize aspects relevant to apparent context or goal

3. Capture current state: Execute observation without modifying target

   • Use Read for file-based targets
   • Use Bash for process/system state (ps, systemctl status, etc.)
   • Record timestamp of observation

4. Document observations: Structure findings with evidence

   • Note what was observed and when
   • Highlight notable conditions or anomalies
   • Record uncertainty where state is unclear

5. Ground claims: Attach evidence anchors to all observations

   • Format: file:line for file content
   • Format: command:output for system observations

Output Contract

Return a structured object:

observation:
  target: string  # What was observed
  timestamp: string  # ISO 8601 timestamp
  status: string  # Overall status assessment
  aspects:
    - aspect: string  # Name of observed aspect
      value: any  # Observed value or state
      notable: boolean  # Whether this is noteworthy
  anomalies: array[string]  # Unexpected findings
confidence: 0..1  # Based on observation quality
evidence_anchors: ["file:line", "command:output"]
assumptions: []  # What was assumed about the target
next_actions: array[string]  # 0-3 suggested follow-ups

Field Definitions

Field	Type	Description
observation.target	string	Identifier of what was observed
observation.timestamp	string	When observation was made
observation.status	string	Summary status (healthy, degraded, error, unknown)
observation.aspects	array	List of observed aspects with values
confidence	number	0.0-1.0 based on observation completeness
evidence_anchors	array[string]	References to raw observation data

Examples

Example 1: Observe Process Status

Input:

target: "web-server process"
aspects: ["running", "memory", "connections"]

Output:

observation:
  target: "nginx process (PID 1234)"
  timestamp: "2024-01-15T10:30:00Z"
  status: "healthy"
  aspects:
    - aspect: "running"
      value: true
      notable: false
    - aspect: "memory"
      value: "125MB RSS"
      notable: false
    - aspect: "connections"
      value: 847
      notable: true
  anomalies:
    - "Connection count higher than typical (avg: 200)"
confidence: 0.95
evidence_anchors:
  - "command:ps aux | grep nginx"
  - "command:netstat -an | grep :80"
assumptions:
  - "Process identified by name 'nginx'"
next_actions:
  - "Monitor connection trend over time"
  - "Check for connection leak if count continues rising"

Example 2: Observe File State

Input:

target: "config/database.yml"
aspects: ["content", "permissions", "modified"]

Output:

observation:
  target: "config/database.yml"
  timestamp: "2024-01-15T10:35:00Z"
  status: "present"
  aspects:
    - aspect: "content"
      value: "PostgreSQL configuration with production credentials"
      notable: true
    - aspect: "permissions"
      value: "644"
      notable: true
    - aspect: "modified"
      value: "2024-01-14T15:22:00Z"
      notable: false
  anomalies:
    - "File permissions allow group/other read (sensitive credentials)"
confidence: 0.9
evidence_anchors:
  - "config/database.yml:1-25"
  - "command:ls -la config/database.yml"
assumptions:
  - "File contains database credentials based on content inspection"
next_actions:
  - "Review file permissions for security"
  - "Consider using environment variables for credentials"

Verification

• Observation timestamp is current (within observation window)
• At least one aspect was observed and documented
• Evidence anchors exist for each notable observation
• Target was not modified during observation
• Anomalies are supported by evidence

Verification tools: Read (to verify file observations)

Safety Constraints

• mutation: false
• requires_checkpoint: false
• requires_approval: false
• risk: low

Capability-specific rules:

• NEVER modify the target during observation
• Do not access targets outside authorized scope
• Report access failures rather than attempting workarounds
• Note uncertainty when observations may be stale or incomplete

Composition Patterns

Commonly follows:

• search - Observe specific targets found through search
• retrieve - Observe content retrieved by reference

Commonly precedes:

• state - Observations feed into world state modeling
• detect - Observations provide data for pattern detection
• compare - Observations enable comparison with expected state

Anti-patterns:

• Never use observe for modification (use mutate)
• Avoid observe for pattern matching (use detect)

Workflow references:

• See reference/workflow_catalog.yaml#debug_code_change for observation in debugging
• See reference/workflow_catalog.yaml#world_model_build for observation in modeling