CtrlK
BlogDocsLog inGet started
Tessl Logo

catalan-adobe/ai-fluency-assessment

Assess your AI fluency using Anthropic's 4D framework (Dakan, Feller & Anthropic, 2025). Scans Claude Code sessions, runs LLM-based behavior classification on all messages, asks a self-assessment questionnaire for 6 unobservable behaviors, and generates a visual HTML report with scores and actionable feedback. Use when "assess fluency", "AI fluency", "fluency report", "fluency assessment", "4D framework", or "how AI fluent am I".

100

Quality

100%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Overview
Quality
Evals
Security
Files

FRAMEWORK.mdreferences/

AI Fluency Framework Reference

24 behaviors across 4 competencies, from Anthropic's 4D AI Fluency Framework (Dakan, Feller & Anthropic, 2025).

#BehaviorCompetencyClassification
1Clarifies goal before asking for helpDelegationLLM
2Understands problem scope and natureDelegationLLM
3Assesses AI fitDelegationQuestionnaire
4Selects platformDelegationQuestionnaire
5Consults AI on approach before executionDelegationLLM
6Distributes work strategicallyDelegationLLM
7Specifies format and structure neededDescriptionLLM
8Defines audience for the outputDescriptionLLM
9Provides examples of what good looks likeDescriptionLLM
10Iterates and refinesDescriptionLLM
11Sets interaction modeDescriptionLLM
12Communicates tone and style preferencesDescriptionLLM
13Checks facts and claims that matterDiscernmentLLM
14Identifies when AI might be missing contextDiscernmentLLM
15Questions when AI reasoning doesn't hold upDiscernmentLLM
16Detects hallucinationDiscernmentLLM
17Evaluates tone and communication fitDiscernmentLLM
18Recognizes bias in AI outputsDiscernmentQuestionnaire
19Chooses AI tools ethicallyDiligenceQuestionnaire
20Maintains ethical awareness during interactionDiligenceQuestionnaire
21Discloses AI involvement to stakeholdersDiligenceLLM
22Represents AI contribution accuratelyDiligenceLLM
23Verifies and tests outputs before sharingDiligenceLLM
24Takes ongoing accountabilityDiligenceQuestionnaire

Troubleshooting

ProblemFix
No module named 'anthropic'Install: uv pip install anthropic. Or use --regex-only for free approximation.
No such file or directory: assess.pyUse the full path to assess.py in the skills directory
0 Claude Code messages foundCheck that the sessions directory exists and has JSONL files
API authentication errorSet ANTHROPIC_API_KEY or ANTHROPIC_FOUNDRY_API_KEY env var
Questionnaire hangsDon't run interactive mode; ask questions in chat and save programmatically
Bars look like bad scoresUse relative scaling (max behavior = 100% bar width) and absolute counts

references

FRAMEWORK.md

REPORT-SPEC.md

SKILL.md

tile.json