Grafema: Graph-Based Codebase Analysis
SkillDatabases & dataAnalyze codebases using a graph database instead of reading source files. Use when understanding code architecture, finding functions or call patterns, tracing data flow, checking dependencies, or answering "where is X used?" questions. Grafema builds a queryable code graph from static analysis — prefer querying the graph over reading files manually.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Grafema: Graph-Based Codebase Analysis skill
What this skill tells your AI
The instructions your AI receives, as published by disentinel/grafema in packages/cli/skills/grafema-codebase-analysis/SKILL.md and read by ahel’s review.
Core Principle
Query the graph, not read code.
Grafema builds a graph database from your codebase via static analysis. Instead of reading dozens of files to understand how code connects, query the graph to get structured, complete answers instantly.
BAD: Read 20 files hoping to find all callers of a function
GOOD: find_calls({ name: "processPayment" }) -> get all callers in one query
BAD: Grep for variable name across files, miss aliased references
GOOD: trace_dataflow({ source: "userInput", direction: "forward" }) -> complete data flow
BAD: Read file by file to understand module dependencies
GOOD: get_file_overview({ file: "src/api.ts" }) -> structured imports, exports, classes, functions
When to Use Grafema
- Finding where functions/methods are called
- Understanding module dependencies and imports
- Tracing data flow (forward or backward)
- Getting function details (signature, callers, callees)
- Checking code invariants with Datalog rules
- Exploring file structure and entity relationships
When NOT to Use Grafema
- Reading a single specific file (use your editor/Read tool — faster)
- Editing code (Grafema is read-only analysis)
- Runtime behavior questions (Grafema is static analysis)
- Files not yet analyzed (run
analyze_projectfirst)
Essential Tools (Tier 1)
These 5 tools handle ~80% of queries. Start here.
find_nodes — Find entities by type, name, or file
find_nodes({ type: "FUNCTION", name: "validateUser" })
find_nodes({ type: "CLASS", file: "src/auth.ts" })
find_nodes({ type: "http:request" })
find_nodes({ type: "MODULE" })
Use when: "Find all X", "What functions are in file Y", "List all routes"
Node types: MODULE, FUNCTION, METHOD, CLASS, VARIABLE, PARAMETER, CALL, PROPERTY_ACCESS, METHOD_CALL, CALL_SITE, http:route, http:request, db:query, socketio:emit, socketio:on
find_calls — Find function/method call sites
find_calls({ name: "processPayment" })
find_calls({ name: "query", className: "Database" })
Use when: "Where is X called?", "Who calls this function?", "Find all usages"
Returns call sites with file locations and whether the target is resolved.
get_function_details — Complete function info
get_function_details({ name: "handleRequest" })
get_function_details({ name: "validate", file: "src/auth.ts" })
get_function_details({ name: "processOrder", transitive: true })
Use when: "What does function X do?", "What does it call?", "Who calls it?"
Returns: signature, parameters, what it calls, who calls it.
Use transitive: true to follow call chains (A calls B calls C, max depth 5).
get_context — Deep context for any node
get_context({ semanticId: "src/api.ts:handleRequest#fn" })
get_context({ semanticId: "src/db.ts:Database#class", edgeType: "CALLS" })
Use when: "Tell me everything about this entity", "Show me its relationships"
Returns: node info, source code, ALL incoming/outgoing edges with code context.
Use after find_nodes to deep-dive into a specific result.
trace_dataflow — Trace data flow
trace_dataflow({ source: "userInput", file: "src/handler.ts", direction: "forward" })
trace_dataflow({ source: "dbResult", file: "src/query.ts", direction: "backward" })
trace_dataflow({ source: "config", direction: "both", max_depth: 5 })
Use when: "Where does this value end up?", "Where does this data come from?", "Is user input reaching the database unsanitized?"
Directions: forward (where does it go?), backward (where did it come from?), both.
Decision Tree
START: What do you need?
|
|-- "Find entities (functions, classes, routes)"
| -> find_nodes({ type, name, file })
|
|-- "Find who calls function X"
| -> find_calls({ name: "X" })
| -> For full details: get_function_details({ name: "X" })
|
|-- "Understand a specific entity deeply"
| -> First: find_nodes to get its semantic ID
| -> Then: get_context({ semanticId: "..." })
|
|-- "Trace data flow"
| -> trace_dataflow({ source, file, direction })
|
|-- "Understand a file's structure"
| -> get_file_overview({ file: "path/to/file.ts" })
|
|-- "Trace an alias/re-export chain"
| -> trace_alias({ variableName: "alias", file: "path.ts" })
|
|-- "Check a code rule/invariant"
| -> check_invariant({ rule: "violation(X) :- ..." })
|
|-- "Custom complex query"
| -> query_graph({ query: "violation(X) :- ..." })
| -> See references/query-patterns.md for Datalog syntax
|
|-- "Explore unknown codebase"
| -> get_stats() for high-level overview
| -> get_schema() for available node/edge types
| -> find_nodes({ type: "MODULE" }) for module list
| -> get_file_overview for specific files
Common Workflows
1. Impact Analysis: "What breaks if I change function X?"
get_function_details({ name: "X", transitive: true })
-> Check calledBy array for all callers (direct + transitive)
-> For critical callers: get_context({ semanticId }) for full picture
2. Security Audit: "Does user input reach the database?"
find_nodes({ type: "http:request" })
-> For each route, trace_dataflow({ source: requestParam, direction: "forward" })
-> Check if flow reaches db:query nodes
-> Use find_guards to check for sanitization
3. Onboarding: "How is this codebase structured?"
get_stats() -> Node/edge counts by type
find_nodes({ type: "MODULE" }) -> All modules
get_file_overview({ file: "src/index.ts" }) -> Entry point structure
find_nodes({ type: "http:request" }) -> All API endpoints
4. Dependency Analysis: "What does module X depend on?"
get_file_overview({ file: "src/service.ts" })
-> Check imports section for dependencies
-> For each import: get_context for deeper relationships
5. Find Dead Code: "What functions have no callers?"
query_graph({
query: 'violation(X) :- node(X, "FUNCTION"), \\+ edge(_, X, "CALLS").'
})
Anti-Patterns
Don't read files to find call sites. Use find_calls — it finds ALL callers across
the entire codebase, including indirect references you'd miss by grepping.
Don't use query_graph for simple lookups. find_nodes, find_calls, and
get_function_details are optimized for common queries. Reserve Datalog for
complex patterns (joins, transitive closure, invariant checks).
Don't skip analysis status. If you just ran analyze_project, check
get_analysis_status before querying — partial results are misleading.
Don't request excessive depth. get_context with no filters returns everything.
Use edgeType filter to focus on specific relationships (e.g., "CALLS,ASSIGNED_FROM").
Don't use Grafema for single-file questions. If you only need to read one file, use your editor. Grafema shines for cross-file relationships.
Advanced Tools (Tier 2)
query_graph — Custom Datalog queries
For complex patterns not covered by high-level tools. See references/query-patterns.md for syntax and examples.
query_graph({
query: "violation(X) :- node(X, \"CALL\"), attr(X, \"name\", \"eval\").",
explain: true
})
Available predicates: node(Id, Type), edge(Src, Dst, Type), attr(Id, Name, Value).
Must define violation/1 predicate for results. Use explain: true to debug empty results.
get_file_overview — File-level structure
Structured overview of imports, exports, classes, functions, variables with relationships.
Recommended first step when exploring a specific file before using get_context.
trace_alias — Resolve alias chains
For code like const alias = obj.method; alias() — traces "alias" back to "obj.method".
get_schema — Available types
Returns all node and edge types in the graph. Use when you need exact type names.
check_invariant — Code rule checking
Check if a Datalog rule has violations. For persistent rules, use create_guarantee.
Specialized Tools (Tier 3)
| Tool | Purpose |
|---|---|
| get_stats | Graph statistics (node/edge counts by type) |
| get_coverage | Analysis coverage for a path |
| find_guards | Conditional guards protecting a node |
| create_guarantee | Create persistent code invariant |
| list_guarantees | List all guarantees |
| check_guarantees | Check guarantee violations |
| delete_guarantee | Remove a guarantee |
| discover_services | Discover services without full analysis |
| analyze_project | Run/re-run analysis |
| get_analysis_status | Check analysis progress |
| read_project_structure | Directory tree |
| write_config | Update .grafema/config.yaml |
| get_documentation | Grafema usage docs |
| report_issue | Report bugs |
Troubleshooting
Query returns nothing?
- Check analysis ran:
get_analysis_status - Check type names:
get_schemafor available types - Use
explain: trueinquery_graphto debug - Check file paths match (relative to project root)
Need help with Datalog syntax?
- See references/query-patterns.md
- Use
get_documentation({ topic: "queries" })for inline help
Graph seems incomplete?
- Run
get_coverage({ path: "src/" })to check coverage - Re-analyze with
analyze_project({ force: true }) - Check
.grafema/config.yamlfor include/exclude patterns
References
- Node and Edge Types — Complete graph schema
- Query Patterns — Datalog cookbook with examples
Signals
- GitHub stars
- 36
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
grafema-codebase-analysis- Source
- github.com/disentinel/grafema