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# Grounded Agency Capability Ontology
# Version: 2.0.0
# 36 atomic capabilities derived from first principles
# See: docs/methodology/FIRST_PRINCIPLES_REASSESSMENT.md
---
meta:
name: Grounded Agency Capability Ontology
version: 2.0.0
generated_at: '2026-01-26T00:00:00.000Z'
description: 36 atomic capabilities derived from first principles
principles:
- Capabilities are atomic and composable into workflows
- Every capability returns evidence anchors and confidence
- High-risk capabilities require checkpoint + verification
- Capabilities are organized into 9 cognitive layers
derivation:
method: First-principles analysis
sources:
- BDI cognitive architecture
- ReAct agent pattern
- Claude Skills architecture
- MCP tool patterns
documentation: docs/methodology/FIRST_PRINCIPLES_REASSESSMENT.md
layers:
PERCEIVE:
description: Information acquisition from the world
cognitive_mapping: 'BDI: Belief acquisition'
capabilities:
- retrieve
- search
- observe
- receive
UNDERSTAND:
description: Making sense of information
cognitive_mapping: 'BDI: Belief formation'
capabilities:
- detect
- classify
- measure
- predict
- compare
- discover
REASON:
description: Planning and analysis
cognitive_mapping: 'BDI: Deliberation'
capabilities:
- plan
- decompose
- critique
- explain
MODEL:
description: World representation
cognitive_mapping: 'BDI: World model'
capabilities:
- state
- transition
- attribute
- ground
- simulate
SYNTHESIZE:
description: Content creation
cognitive_mapping: Action planning
capabilities:
- generate
- transform
- integrate
EXECUTE:
description: Changing the world
cognitive_mapping: 'BDI: Intention execution'
capabilities:
- execute
- mutate
- send
VERIFY:
description: Correctness assurance
cognitive_mapping: Control theory
capabilities:
- verify
- checkpoint
- rollback
- constrain
- audit
REMEMBER:
description: State persistence
cognitive_mapping: 'Cognitive: Long-term memory'
capabilities:
- persist
- recall
COORDINATE:
description: Multi-agent and user interaction
cognitive_mapping: Multi-agent systems
capabilities:
- delegate
- synchronize
- invoke
- inquire
nodes:
- id: retrieve
layer: PERCEIVE
description: Get specific data by reference (ID, path, URI)
risk: low
mutation: false
input_schema:
type: object
required:
- target
properties:
target:
type: string
description: Reference to data (ID, path, URI)
format:
type: string
description: Expected format of retrieved data
output_schema:
type: object
required:
- data
- evidence_anchors
- confidence
properties:
data:
type: any
description: Retrieved data
evidence_anchors:
type: array
description: Source references
confidence:
type: number
minimum: 0
maximum: 1
- id: search
layer: PERCEIVE
description: Query for data matching criteria
risk: low
mutation: false
input_schema:
type: object
required:
- query
properties:
query:
type: string|object
description: Search criteria
scope:
type: string
description: Search scope/domain
limit:
type: integer
description: Maximum results
output_schema:
type: object
required:
- results
- evidence_anchors
- confidence
properties:
results:
type: array
description: Matching items
total_count:
type: integer
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: observe
layer: PERCEIVE
description: Watch and report current state
risk: low
mutation: false
input_schema:
type: object
required:
- target
properties:
target:
type: string
description: What to observe
aspects:
type: array
description: Specific aspects to observe
output_schema:
type: object
required:
- observation
- evidence_anchors
- confidence
properties:
observation:
type: object
description: Current state
timestamp:
type: string
format: date-time
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: receive
layer: PERCEIVE
description: Accept pushed data or events
risk: low
mutation: false
input_schema:
type: object
properties:
channel:
type: string
description: Source channel
filter:
type: object
description: Event filter criteria
timeout:
type: string
description: Wait timeout
output_schema:
type: object
required:
- data
- evidence_anchors
properties:
data:
type: array
items:
type: object
description: Received data/events
source:
type: string
description: Event source
timestamp:
type: string
format: date-time
evidence_anchors:
type: array
- id: detect
layer: UNDERSTAND
description: Find patterns or occurrences in data
risk: low
mutation: false
input_schema:
type: object
required:
- data
- pattern
properties:
data:
type: any
description: Data to analyze
pattern:
type: string|object
description: Pattern to find
threshold:
type: number
description: Detection threshold
output_schema:
type: object
required:
- detected
- evidence_anchors
- confidence
properties:
detected:
type: boolean
matches:
type: array
description: Found occurrences
locations:
type: array
description: Where patterns found
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: classify
layer: UNDERSTAND
description: Assign labels or categories to items
risk: low
mutation: false
input_schema:
type: object
required:
- item
properties:
item:
type: any
description: Item to classify
taxonomy:
type: string|array
description: Classification scheme
multi_label:
type: boolean
description: Allow multiple labels
output_schema:
type: object
required:
- labels
- evidence_anchors
- confidence
properties:
labels:
type: array
description: Assigned labels
probabilities:
type: object
description: Label probabilities
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: measure
layer: UNDERSTAND
description: Quantify values with uncertainty
risk: low
mutation: false
input_schema:
type: object
required:
- target
- metric
properties:
target:
type: any
description: What to measure
metric:
type: string
description: Measurement type
unit:
type: string
description: Unit of measurement
output_schema:
type: object
required:
- value
- uncertainty
- evidence_anchors
- confidence
properties:
value:
type: number
uncertainty:
type: object
properties:
lower:
type: number
upper:
type: number
unit:
type: string
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: predict
layer: UNDERSTAND
description: Forecast future states or outcomes
risk: low
mutation: false
input_schema:
type: object
required:
- target
properties:
target:
type: string
description: What to predict
horizon:
type: string
description: Prediction timeframe
conditions:
type: object
description: Assumed conditions
output_schema:
type: object
required:
- prediction
- probability
- evidence_anchors
- confidence
properties:
prediction:
type: any
description: Predicted outcome
probability:
type: number
minimum: 0
maximum: 1
alternatives:
type: array
description: Alternative outcomes
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: compare
layer: UNDERSTAND
description: Evaluate alternatives against criteria
risk: low
mutation: false
input_schema:
type: object
required:
- options
properties:
options:
type: array
description: Items to compare
criteria:
type: array
description: Evaluation criteria
weights:
type: object
description: Criteria weights
output_schema:
type: object
required:
- ranking
- evidence_anchors
- confidence
properties:
ranking:
type: array
description: Ordered options
scores:
type: object
description: Scores per option
recommendation:
type: string
description: Top choice
tradeoffs:
type: array
description: Key tradeoffs
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: discover
layer: UNDERSTAND
description: Find previously unknown patterns
risk: low
mutation: false
input_schema:
type: object
required:
- data
properties:
data:
type: any
description: Data to explore
constraints:
type: object
description: Discovery constraints
method:
type: string
description: Discovery approach
output_schema:
type: object
required:
- patterns
- evidence_anchors
- confidence
properties:
patterns:
type: array
description: Discovered patterns
relationships:
type: array
description: Found relationships
anomalies:
type: array
description: Unusual findings
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: plan
layer: REASON
description: Create action sequence to achieve goal
risk: low
mutation: false
input_schema:
type: object
required:
- goal
properties:
goal:
type: string
description: Desired outcome
constraints:
type: object
description: Planning constraints
resources:
type: array
description: Available resources
output_schema:
type: object
required:
- steps
- evidence_anchors
- confidence
properties:
steps:
type: array
description: Ordered action steps
dependencies:
type: object
description: Step dependencies
risks:
type: array
description: Identified risks
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: decompose
layer: REASON
description: Break problem into subproblems
risk: low
mutation: false
input_schema:
type: object
required:
- problem
properties:
problem:
type: string
description: Problem to decompose
max_depth:
type: integer
description: Maximum decomposition depth
strategy:
type: string
description: Decomposition strategy
output_schema:
type: object
required:
- subproblems
- evidence_anchors
- confidence
properties:
subproblems:
type: array
description: Component problems
structure:
type: object
description: Problem hierarchy
dependencies:
type: array
description: Subproblem dependencies
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: critique
layer: REASON
description: Identify weaknesses and issues
risk: low
mutation: false
input_schema:
type: object
required:
- target
properties:
target:
type: any
description: What to critique
criteria:
type: array
description: Evaluation criteria
severity_threshold:
type: string
description: Minimum severity to report
output_schema:
type: object
required:
- issues
- evidence_anchors
- confidence
properties:
issues:
type: array
description: Found weaknesses
severity:
type: object
description: Issue severities
suggestions:
type: array
description: Improvement suggestions
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: explain
layer: REASON
description: Justify conclusions with reasoning
risk: low
mutation: false
input_schema:
type: object
required:
- conclusion
properties:
conclusion:
type: any
description: What to explain
audience:
type: string
description: Target audience
depth:
type: string
enum:
- brief
- detailed
- comprehensive
output_schema:
type: object
required:
- explanation
- evidence_anchors
- confidence
properties:
explanation:
type: string
description: Reasoning explanation
premises:
type: array
description: Supporting premises
chain:
type: array
description: Reasoning chain
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: state
layer: MODEL
description: Create representation of current world state
risk: low
mutation: false
input_schema:
type: object
required:
- scope
properties:
scope:
type: string
description: What to model
schema:
type: object
description: State schema
timestamp:
type: string
format: date-time
output_schema:
type: object
required:
- state
- evidence_anchors
- confidence
properties:
state:
type: object
description: World state representation
entities:
type: array
description: Identified entities
relationships:
type: array
description: Entity relationships
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: transition
layer: MODEL
description: Define how state changes over time
risk: low
mutation: false
input_schema:
type: object
required:
- from_state
properties:
from_state:
type: object
description: Initial state
to_state:
type: object
description: Target state (optional)
triggers:
type: array
description: What causes transition
output_schema:
type: object
required:
- rules
- evidence_anchors
- confidence
properties:
rules:
type: array
description: Transition rules
preconditions:
type: array
description: Required conditions
effects:
type: array
description: State changes
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: attribute
layer: MODEL
description: Establish cause-effect relationships
risk: low
mutation: false
input_schema:
type: object
required:
- effect
properties:
effect:
type: any
description: Observed effect
candidates:
type: array
description: Potential causes
context:
type: object
description: Situational context
output_schema:
type: object
required:
- causes
- evidence_anchors
- confidence
properties:
causes:
type: array
description: Identified causes
strengths:
type: object
description: Causal strengths
mechanism:
type: string
description: Causal mechanism
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: ground
layer: MODEL
description: Anchor claims to evidence
risk: low
mutation: false
input_schema:
type: object
required:
- claim
properties:
claim:
type: string
description: Claim to ground
sources:
type: array
description: Evidence sources
required_strength:
type: string
enum:
- weak
- moderate
- strong
output_schema:
type: object
required:
- grounded
- evidence_anchors
- confidence
properties:
grounded:
type: boolean
description: Whether claim is grounded
evidence:
type: array
description: Supporting evidence
gaps:
type: array
description: Evidence gaps
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: simulate
layer: MODEL
description: Run what-if scenarios
risk: low
mutation: false
input_schema:
type: object
required:
- scenario
properties:
scenario:
type: object
description: Scenario to simulate
initial_state:
type: object
description: Starting state
steps:
type: integer
description: Simulation steps
output_schema:
type: object
required:
- outcomes
- evidence_anchors
- confidence
properties:
outcomes:
type: array
description: Simulation results
trajectory:
type: array
description: State trajectory
final_state:
type: object
description: End state
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: generate
layer: SYNTHESIZE
description: Produce new content
risk: low
mutation: false
input_schema:
type: object
required:
- specification
properties:
specification:
type: string|object
description: What to generate
format:
type: string
description: Output format
constraints:
type: object
description: Generation constraints
output_schema:
type: object
required:
- content
- evidence_anchors
- confidence
properties:
content:
type: any
description: Generated content
metadata:
type: object
description: Generation metadata
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: transform
layer: SYNTHESIZE
description: Convert between formats
risk: low
mutation: false
input_schema:
type: object
required:
- input
- target_format
properties:
input:
type: any
description: Data to transform
source_format:
type: string
description: Input format
target_format:
type: string
description: Output format
options:
type: object
description: Transformation options
output_schema:
type: object
required:
- output
- evidence_anchors
- confidence
properties:
output:
type: object
description: Transformed data
changes:
type: array
description: Applied transformations
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: integrate
layer: SYNTHESIZE
description: Merge data from multiple sources
risk: low
mutation: false
input_schema:
type: object
required:
- sources
properties:
sources:
type: array
description: Data sources to merge
strategy:
type: string
description: Merge strategy
conflict_resolution:
type: string
description: How to handle conflicts
output_schema:
type: object
required:
- merged
- evidence_anchors
- confidence
properties:
merged:
type: object
description: Integrated data
properties:
observations:
type: array
description: Merged observations
meta:
type: object
properties:
world_id:
type: string
description: World model identifier
conflicts:
type: array
description: Resolved conflicts
provenance:
type: object
description: Source provenance
evidence_anchors:
type: array
confidence:
type: number
minimum: 0
maximum: 1
- id: execute
layer: EXECUTE
description: Run code or script deterministically
risk: medium