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NeuroAIHub/BrainPilot/packages/skills/skills/12_Social_Cognition/tom-task-selector/SKILL.md

tom-task-selector

Selects Theory of Mind tasks matched to target population, age, and construct with psychometric guidance

Source repository stars
463
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Last source update
2026-08-25
Source checked
2026-08-28

Decision brief

What it does: where it fits

Selects Theory of Mind tasks matched to target population, age, and construct with psychometric guidance

Best for

  • Selecting a ToM measure for a developmental, clinical, or adult study
  • Matching a ToM task to the target population (children, adults, ASD, brain injury, aging)
  • Designing a comprehensive ToM assessment battery

Not for

  • Using a single task as the sole ToM measure: ToM is multidimensional. Single tasks have low reliability and capture only one construct. Use a battery (Wellman & Liu, 2004).
  • Ignoring ceiling/floor effects: Standard false belief tasks ceiling by age 5-6. The RMET has modest reliability. Check for restricted range.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
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Installation

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Source-detected install commandSource
npx skills add https://github.com/NeuroAIHub/BrainPilot --skill "packages/skills/skills/12_Social_Cognition/tom-task-selector"
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Inspect the Agent Skill "tom-task-selector" from https://github.com/NeuroAIHub/BrainPilot/blob/e9ddc112cab9b1c6272dae0c8a6bdceb5c9c3880/packages/skills/skills/12_Social_Cognition/tom-task-selector/SKILL.md at commit e9ddc112cab9b1c6272dae0c8a6bdceb5c9c3880. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    ⚠️ Verification Notice

    This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.

    This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.
  2. 02

    Purpose

    This skill encodes expert knowledge for selecting, administering, and interpreting Theory of Mind (ToM) assessments. It provides a construct taxonomy, task selection decision trees, age-appropriate recommendations, psychometric properties, and guidance on confounds. A general-pu…

    This skill encodes expert knowledge for selecting, administering, and interpreting Theory of Mind (ToM) assessments. It provides a construct taxonomy, task selection decision trees, age-appropriate recommendations, psyc…
  3. 03

    When to Use This Skill

    Selecting a ToM measure for a developmental, clinical, or adult study

    Selecting a ToM measure for a developmental, clinical, or adult studyMatching a ToM task to the target population (children, adults, ASD, brain injury, aging)Designing a comprehensive ToM assessment battery
  4. 04

    Research Planning Protocol

    Before executing the domain-specific steps below, you MUST:

    State the research question -- What specific question is this analysis/paradigm addressing?Justify the method choice -- Why is this approach appropriate? What alternatives were considered?Declare expected outcomes -- What results would support vs. refute the hypothesis?
  5. 05

    ToM Construct Taxonomy

    ToM develops in a predictable sequence (Wellman & Liu, 2004). Tasks should be matched to the expected level:

    ToM develops in a predictable sequence (Wellman & Liu, 2004). Tasks should be matched to the expected level:

Permission review

Static risk signals and limitations

No configured static risk pattern was detected

This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score93/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars463SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
NeuroAIHub/BrainPilot
Skill path
packages/skills/skills/12_Social_Cognition/tom-task-selector/SKILL.md
Commit
e9ddc112cab9b1c6272dae0c8a6bdceb5c9c3880
License
AGPL-3.0
Collected
2026-08-28
Default branch
main
View the original SKILL.md

Theory of Mind Task Selector

Purpose

This skill encodes expert knowledge for selecting, administering, and interpreting Theory of Mind (ToM) assessments. It provides a construct taxonomy, task selection decision trees, age-appropriate recommendations, psychometric properties, and guidance on confounds. A general-purpose programmer would not know which ToM tasks are appropriate for which populations, the developmental sequence of ToM abilities, or the psychometric limitations of common measures.

When to Use This Skill

  • Selecting a ToM measure for a developmental, clinical, or adult study
  • Matching a ToM task to the target population (children, adults, ASD, brain injury, aging)
  • Designing a comprehensive ToM assessment battery
  • Evaluating the psychometric properties of a proposed ToM measure
  • Identifying confounds (language, executive function, IQ) that may affect ToM task performance
  • Interpreting ceiling/floor effects in ToM data

Research Planning Protocol

Before executing the domain-specific steps below, you MUST:

  1. State the research question -- What specific question is this analysis/paradigm addressing?
  2. Justify the method choice -- Why is this approach appropriate? What alternatives were considered?
  3. Declare expected outcomes -- What results would support vs. refute the hypothesis?
  4. Note assumptions and limitations -- What does this method assume? Where could it mislead?
  5. Present the plan to the user and WAIT for confirmation before proceeding.

For detailed methodology guidance, see the research-literacy skill.

⚠️ Verification Notice

This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.

ToM Construct Taxonomy

Developmental Hierarchy

ToM develops in a predictable sequence (Wellman & Liu, 2004). Tasks should be matched to the expected level:

LevelConstructAge of EmergenceKey TaskSource
1Diverse desires~3 yearsDiverse desires taskWellman & Liu, 2004
2Diverse beliefs~3-4 yearsDiverse beliefs taskWellman & Liu, 2004
3Knowledge access~4 yearsKnowledge access taskWellman & Liu, 2004
4First-order false belief~4-5 yearsSally-Anne (Wimmer & Perner, 1983)Wellman et al., 2001
5Hidden emotion~5-6 yearsAppearance-reality emotion taskWellman & Liu, 2004
6Second-order false belief~6-7 yearsIce-cream van taskPerner & Wimmer, 1985
7Faux pas recognition~9-11 yearsFaux pas storiesBaron-Cohen et al., 1999
8Advanced/adult ToMAdolescence-adultStrange Stories, RMETHappe, 1994; Baron-Cohen et al., 2001

Construct Dimensions

DimensionDescriptionExample Tasks
Belief attributionUnderstanding others' beliefs, especially false beliefsSally-Anne, unexpected contents
Desire attributionUnderstanding others' desires differ from one's ownDiverse desires task
Intention attributionUnderstanding goal-directed action and intentionalityIntentional vs. accidental actions
Emotion attributionUnderstanding others' emotions from context/cuesHidden emotion, RMET
Visual perspective-takingLevel 1: what others see; Level 2: how others see itDirector task, Flavell tasks
Implicit/spontaneous ToMAutomatic, non-verbal ToM processingAnticipatory looking, VoE paradigms

Task Selection Decision Tree

By Age Group

What is the participant's age?
 |
 +-- Infants (6-24 months)
 | --> Implicit ToM tasks only
 | --> Anticipatory looking (Southgate et al., 2007)
 | --> Violation-of-expectation (Onishi & Baillargeon, 2005)
 |
 +-- Preschoolers (3-5 years)
 | --> Wellman & Liu (2004) scale (5 tasks)
 | --> Sally-Anne / Change of location (Wimmer & Perner, 1983)
 | --> Unexpected contents / Smarties task (Gopnik & Astington, 1988)
 |
 +-- School-age (6-12 years)
 | --> Second-order false belief (Perner & Wimmer, 1985)
 | --> Faux pas stories (Baron-Cohen et al., 1999)
 | --> Strange Stories (Happe, 1994) -- simplified versions
 |
 +-- Adolescents and Adults
 --> Strange Stories (Happe, 1994)
 --> RMET (Baron-Cohen et al., 2001)
 --> Director task (Keysar et al., 2003)
 --> Faux pas test (Baron-Cohen et al., 1999)
 --> Movie for the Assessment of Social Cognition (MASC; Dziobek et al., 2006)

By Population

What is the target population?
 |
 +-- Typically developing children
 | --> Wellman & Liu (2004) scale (most validated)
 | --> Standard false belief tasks
 |
 +-- Autism spectrum (children)
 | --> Sally-Anne (Baron-Cohen et al., 1985)
 | --> Unexpected contents (Perner et al., 1989)
 | --> Happe Strange Stories (if verbal)
 | |
 | NOTE: Many autistic individuals pass standard false
 | belief tasks by age 6-8. Use advanced tasks to
 | avoid ceiling effects (Happe, 1994).
 |
 +-- Autism spectrum (adults)
 | --> RMET (Baron-Cohen et al., 2001)
 | --> Faux pas test (Baron-Cohen et al., 1999)
 | --> MASC (Dziobek et al., 2006)
 | --> Director task (Keysar et al., 2003)
 |
 +-- Brain injury / neurological
 | --> Faux pas test (Stone et al., 1998)
 | --> Strange Stories (Happe, 1994)
 | --> RMET (Baron-Cohen et al., 2001)
 | --> Yoni task (Shamay-Tsoory & Aharon-Peretz, 2007)
 |
 +-- Aging / dementia
 --> Faux pas test (Gregory et al., 2002)
 --> RMET (Baron-Cohen et al., 2001)
 --> Strange Stories (Happe, 1994)
 --> Note: control for processing speed and working memory

By Construct

What ToM construct are you targeting?
 |
 +-- Belief attribution
 | --> False belief tasks (Sally-Anne, unexpected contents)
 | --> Second-order false belief
 |
 +-- Emotion recognition
 | --> RMET (Baron-Cohen et al., 2001)
 | --> Cambridge Mindreading Face-Voice Battery
 |
 +-- Social reasoning / pragmatics
 | --> Faux pas test
 | --> Strange Stories
 |
 +-- Visual perspective-taking
 | --> Director task (Keysar et al., 2003)
 | --> Flavell Level 1/2 tasks
 |
 +-- Implicit / spontaneous ToM
 --> Anticipatory looking paradigms
 --> Dot-perspective task (Samson et al., 2010)

Key Tasks with Parameters

First-Order False Belief: Sally-Anne Task

PropertyValueSource
Original citationWimmer & Perner, 1983; Baron-Cohen et al., 1985
Age range3-6 years (standard); used in ASD at any ageWellman et al., 2001
AdministrationActed out with dolls/puppets or illustrated storyBaron-Cohen et al., 1985
Test question"Where will Sally look for her marble?"
Control questionsReality question + memory question (must pass both)Baron-Cohen et al., 1985
ScoringPass/fail (binary)
Passing criterionCorrect test question + both control questionsBaron-Cohen et al., 1985
Typical passing rates~20% at 3 years, ~50% at 4 years, ~90% by 5-6 yearsWellman et al., 2001
LimitationsCeiling by age 6; binary scoring limits sensitivityWellman et al., 2001

Unexpected Contents (Smarties Task)

PropertyValueSource
Original citationGopnik & Astington, 1988; Perner et al., 1987
Age range3-6 yearsGopnik & Astington, 1988
AdministrationShow container (e.g., Smarties box) with unexpected contents (e.g., pencils)
Test question"What will [name] think is in the box?" (other's belief)
Self question"What did you think was in the box before I opened it?" (own prior belief)
ScoringPass: predicts other will say "Smarties" (or typical contents)

Second-Order False Belief

PropertyValueSource
Original citationPerner & Wimmer, 1985
Age range6-9 yearsPerner & Wimmer, 1985
Construct"She thinks that he thinks that..."
AdministrationStory scenario (ice-cream van paradigm)Perner & Wimmer, 1985
Test question"Where does Mary think John will go to buy ice cream?"
Passing rates~10% at 5 years, ~50% at 7 years, ~90% by 9 yearsPerner & Wimmer, 1985
Comprehension questions2-3 memory/comprehension checks requiredStandard practice

RMET (Reading the Mind in the Eyes Test)

PropertyValueSource
Original citationBaron-Cohen et al., 2001
VersionRevised version (2001) -- 36 itemsBaron-Cohen et al., 2001
Age rangeAdults (16+ years); child version available (28 items)Baron-Cohen et al., 2001
AdministrationForced-choice: pick 1 of 4 mental state words matching eye region photo
ScoringTotal correct out of 36 (adults) or 28 (children)
Adult normsMean ~ 26.2 (SD ~ 3.6) in typical adultsBaron-Cohen et al., 2001
ASD normsMean ~ 21.9 (SD ~ 6.6) in autistic adultsBaron-Cohen et al., 2001
ReliabilityInternal consistency: Cronbach's alpha ~ 0.60-0.70 (modest)Olderbak et al., 2015
LimitationsLow reliability, possible confound with emotion recognition vs. ToM per seOlderbak et al., 2015

Faux Pas Test

PropertyValueSource
Original citationBaron-Cohen et al., 1999
Age range9 years to adultBaron-Cohen et al., 1999
AdministrationRead 10 faux pas stories + 10 control stories
Questions per storyDetection ("Did someone say something awkward?"), identification, belief, empathyBaron-Cohen et al., 1999
Scoring0-2 points per question; max 60 for faux pas storiesBaron-Cohen et al., 1999
Control storiesMust also score comprehension questions for controls
SensitivityGood for detecting subtle ToM deficits in ASD, right hemisphere lesions, frontotemporal dementiaStone et al., 1998; Gregory et al., 2002

Strange Stories (Happe, 1994)

PropertyValueSource
Original citationHappe, 1994
ConstructAdvanced ToM: irony, white lie, double bluff, misunderstanding, persuasion, appearance/reality, figure of speech, sarcasm, forgetting, contrary emotions
AdministrationRead vignettes, open-ended question: "Why did X say that?"
Scoring0 (incorrect), 1 (partial), 2 (full mental state reference)Happe, 1994
Number of stories8-16 ToM stories + physical control storiesHappe, 1994
Age rangeChildren (8+) and adultsHappe, 1994
ReliabilityInter-rater reliability for scoring: kappa > 0.85 recommendedHappe, 1994

Director Task (Visual Perspective-Taking)

PropertyValueSource
Original citationKeysar et al., 2003
ConstructLevel 2 perspective-taking under communicative demand
AdministrationGrid of objects; director (behind grid) instructs participant to move objects; some slots occluded from director's view
MeasureEye movements (egocentric intrusions), accuracy, RTKeysar et al., 2003
Key findingEven adults show egocentric errors on ~30-50% of critical trialsKeysar et al., 2003
Age range7 years to adultDumontheil et al., 2010

See references/task-database.md for the full task list with administration protocols.

Psychometric Considerations

Reliability Summary

TaskInternal ConsistencyTest-RetestSource
Sally-Anne (single item)N/A (binary)VariableWellman et al., 2001
Wellman & Liu ScaleGuttman scalability > 0.90ModerateWellman & Liu, 2004
RMETalpha ~ 0.60-0.70r ~ 0.63-0.83Olderbak et al., 2015; Fernandez-Abascal et al., 2013
Faux pas testalpha ~ 0.70-0.80Not well-establishedBaron-Cohen et al., 1999
Strange StoriesInter-rater: kappa > 0.85ModerateHappe, 1994
MASCalpha ~ 0.70AdequateDziobek et al., 2006

Validity Concerns

  1. Ceiling effects: Standard false belief tasks show ceiling by age 5-6 in typical children. Use Wellman & Liu scale or advanced tasks (Wellman & Liu, 2004).
  2. Floor effects: RMET and faux pas tests may show floor effects in clinical populations with severe deficits. Consider graded scoring.
  3. Ecological validity: Structured ToM tasks may not predict real-world social behavior (German & Hehman, 2006).
  4. Task purity: No ToM task measures only ToM. All tasks involve language, memory, executive function, and attention.

Confounds and Controls

Language

ConfoundImpactMitigationSource
Verbal demandsFalse belief tasks require comprehension of complex sentencesInclude vocabulary/language control measureMilligan et al., 2007
Narrative complexitySecond-order tasks have heavy memory loadAdd comprehension check questionsPerner & Wimmer, 1985
Word knowledge (RMET)Vocabulary confound in forced-choice emotion labelsControl for verbal IQOlderbak et al., 2015

Executive Function

ConfoundImpactMitigationSource
Inhibitory controlMust inhibit own knowledge to attribute false beliefInclude inhibition measure (e.g., Stroop, day-night)Carlson & Moses, 2001
Working memoryMust hold multiple perspectives simultaneouslyControl for WM spanCarlson & Moses, 2001
Cognitive flexibilityMust switch between self and other perspectiveInclude set-shifting measureCarlson & Moses, 2001

Recommended Control Measures

For any ToM study, include at minimum:

  1. Verbal ability: Receptive vocabulary (e.g., PPVT) or verbal IQ subscale
  2. Inhibitory control: Age-appropriate inhibition task
  3. Working memory: Forward/backward digit span or equivalent
  4. Non-ToM comprehension: Physical causality control stories (for Strange Stories and faux pas)

Task Combination Recommendations

Comprehensive Battery by Population

PopulationRecommended BatteryRationale
Preschool (3-5y)Wellman & Liu Scale (5 tasks) + diverse desires + diverse beliefsGuttman-scalable, captures developmental progression (Wellman & Liu, 2004)
School-age (6-12y)First-order FB + second-order FB + faux pas + Strange Stories subsetSpans implicit to advanced ToM
ASD (children)Sally-Anne + unexpected contents + Strange Stories (simplified)Avoids ceiling; includes advanced items
ASD (adults)RMET + faux pas + MASC + Director taskMultiple constructs; includes real-time and reflective tasks
Neurological (adults)Faux pas + Strange Stories + RMETSensitive to frontal and right hemisphere lesions (Stone et al., 1998)
Aging researchFaux pas + RMET + Strange StoriesControl for processing speed; established aging norms

Minimum Battery (2-3 tasks)

If time is limited, prioritize:

  1. One false belief task (for belief attribution)
  2. Faux pas or Strange Stories (for advanced ToM / social reasoning)
  3. RMET (for emotion/mental state recognition -- if construct-relevant)

Common Pitfalls

  1. Using a single task as the sole ToM measure: ToM is multidimensional. Single tasks have low reliability and capture only one construct. Use a battery (Wellman & Liu, 2004).
  2. Ignoring ceiling/floor effects: Standard false belief tasks ceiling by age 5-6. The RMET has modest reliability. Check for restricted range.
  3. Not controlling for language: Most ToM tasks have substantial verbal demands. Group differences in ToM may reflect language differences, especially in ASD (Milligan et al., 2007).
  4. Confounding ToM with executive function: False belief tasks require inhibitory control. Include EF measures and control statistically or use low-EF-demand tasks (Carlson & Moses, 2001).
  5. Age-inappropriate task selection: Giving first-order false belief to adults (ceiling) or faux pas to 4-year-olds (floor). Match task to developmental level.
  6. Treating the RMET as a pure ToM measure: The RMET has low reliability (alpha ~ 0.60-0.70) and may measure emotion recognition more than mental state inference (Olderbak et al., 2015).
  7. Assuming failed performance = absent ToM: Implicit/anticipatory looking studies suggest infants may have ToM understanding that explicit tasks fail to capture (Onishi & Baillargeon, 2005). Distinguish competence from performance.
  8. Not including control stories: For faux pas and Strange Stories, physical/non-mental-state control stories are essential to rule out general comprehension deficits.

Minimum Reporting Checklist

  • ToM construct(s) targeted (belief, desire, emotion, perspective-taking)
  • Task(s) used with full citation and version
  • Administration method (live, video, computerized)
  • Scoring criteria and inter-rater reliability (for open-ended tasks)
  • Control questions included and pass rates
  • Confound measures included (language, EF, IQ)
  • Ceiling/floor analysis: report distribution of scores, not just means
  • Age and developmental level of participants
  • Clinical classification criteria (if clinical population)
  • Effect sizes and confidence intervals for group comparisons

References

  • Baron-Cohen, S., Leslie, A. M., & Frith, U. (1985). Does the autistic child have a "theory of mind"? Cognition, 21(1), 37-46.
  • Baron-Cohen, S., O'Riordan, M., Stone, V., Jones, R., & Plaisted, K. (1999). Recognition of faux pas by normally developing children and children with Asperger syndrome or high-functioning autism. Journal of Autism and Developmental Disorders, 29(5), 407-418.
  • Baron-Cohen, S., Wheelwright, S., Hill, J., Raste, Y., & Plumb, I. (2001). The "Reading the Mind in the Eyes" test revised version. Journal of Child Psychology and Psychiatry, 42(2), 241-251.
  • Carlson, S. M., & Moses, L. J. (2001). Individual differences in inhibitory control and children's theory of mind. Child Development, 72(4), 1032-1053.
  • Dumontheil, I., Apperly, I. A., & Blakemore, S. J. (2010). Online usage of theory of mind continues to develop in late adolescence. Developmental Science, 13(2), 331-338.
  • Dziobek, I., Fleck, S., Kalbe, E., Rogers, K., Hassenstab, J., Brand, M., ... & Convit, A. (2006). Introducing MASC: A movie for the assessment of social cognition. Journal of Autism and Developmental Disorders, 36(5), 623-636.
  • Fernandez-Abascal, E. G., Cabello, R., Fernandez-Berrocal, P., & Baron-Cohen, S. (2013). Test-retest reliability of the "Reading the Mind in the Eyes" test. Journal of Autism and Developmental Disorders, 43(9), 2220-2223.
  • German, T. P., & Hehman, J. A. (2006). Representational and executive selection resources in "theory of mind." Psychological Science, 17(2), 130-132.
  • Gopnik, A., & Astington, J. W. (1988). Children's understanding of representational change and its relation to the understanding of false belief. Child Development, 59(1), 26-37.
  • Gregory, C., Lough, S., Stone, V., Erzinclioglu, S., Martin, L., Baron-Cohen, S., & Hodges, J. R. (2002). Theory of mind in patients with frontal variant frontotemporal dementia and Alzheimer's disease. Journal of Neurology, Neurosurgery & Psychiatry, 72(6), 752-756.
  • Happe, F. G. (1994). An advanced test of theory of mind. Journal of Autism and Developmental Disorders, 24(2), 129-154.
  • Keysar, B., Lin, S., & Barr, D. J. (2003). Limits on theory of mind use in adults. Cognition, 89(1), 25-41.
  • Milligan, K., Astington, J. W., & Dack, L. A. (2007). Language and theory of mind: Meta-analysis of the relation between language ability and false-belief understanding. Child Development, 78(2), 622-646.
  • Olderbak, S., Wilhelm, O., Olaru, G., Geiger, M., Brenneman, M. W., & Roberts, R. D. (2015). A psychometric analysis of the Reading the Mind in the Eyes test. Assessment, 22(6), 798-806.
  • Onishi, K. H., & Baillargeon, R. (2005). Do 15-month-old infants understand false beliefs? Science, 308(5719), 255-258.
  • Perner, J., Leekam, S. R., & Wimmer, H. (1987). Three-year-olds' difficulty with false belief. British Journal of Developmental Psychology, 5(2), 125-137.
  • Perner, J., & Wimmer, H. (1985). "John thinks that Mary thinks that..." Attribution of second-order beliefs. Journal of Experimental Child Psychology, 39(3), 437-471.
  • Samson, D., Apperly, I. A., Braithwaite, J. J., Andrews, B. J., & Bodley Scott, S. E. (2010). Seeing it their way: Evidence for rapid and involuntary computation of what other people see. Journal of Experimental Psychology: HPP, 36(5), 1255-1266.
  • Shamay-Tsoory, S. G., & Aharon-Peretz, J. (2007). Dissociable prefrontal networks for cognitive and affective theory of mind. Neuropsychologia, 45(13), 3054-3067.
  • Southgate, V., Senju, A., & Csibra, G. (2007). Action anticipation through attribution of false belief by 2-year-olds. Psychological Science, 18(7), 587-592.
  • Stone, V. E., Baron-Cohen, S., & Knight, R. T. (1998). Frontal lobe contributions to theory of mind. Journal of Cognitive Neuroscience, 10(5), 640-656.
  • Wellman, H. M., Cross, D., & Watson, J. (2001). Meta-analysis of theory-of-mind development: The truth about false belief. Child Development, 72(3), 655-684.
  • Wellman, H. M., & Liu, D. (2004). Scaling of theory-of-mind tasks. Child Development, 75(2), 523-541.
  • Wimmer, H., & Perner, J. (1983). Beliefs about beliefs: Representation and constraining function of wrong beliefs in young children's understanding of deception. Cognition, 13(1), 103-128.

See references/ for the full task database with administration protocols and scoring rubrics.

Frequently asked questions

What to verify before installation and use

What does the tom-task-selector source document cover?

Selects Theory of Mind tasks matched to target population, age, and construct with psychometric guidance

How do I install tom-task-selector?

The source record exposes this install command: npx skills add https://github.com/NeuroAIHub/BrainPilot --skill "packages/skills/skills/12_Social_Cognition/tom-task-selector". Inspect the command and pinned source before running it.

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