Skip to main content
ClaudeWave
Skill85 repo starsupdated 3mo ago

acsl-annotation-assistant

Create ACSL (ANSI/ISO C Specification Language) formal annotations for C/C++ programs. Use this skill when working with formal verification, adding function contracts (requires/ensures), loop invariants, assertions, memory safety annotations, or any ACSL specifications. Supports Frama-C verification and generates comprehensive formal specifications for C/C++ code.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE /tmp/acsl-annotation-assistant && cp -r /tmp/acsl-annotation-assistant/skills/acsl-annotation-assistant ~/.claude/skills/acsl-annotation-assistant
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# ACSL Annotation Assistant

Generate comprehensive ACSL (ANSI/ISO C Specification Language) annotations for C/C++ programs to support formal verification with tools like Frama-C.

## Core Capabilities

### 1. Function Contracts

Add complete function specifications with preconditions and postconditions:

```c
/*@
  requires \valid(array + (0..n-1));
  requires n > 0;
  ensures \result >= 0 && \result < n;
  ensures \forall integer i; 0 <= i < n ==> array[\result] >= array[i];
  assigns \nothing;
*/
int find_max_index(int *array, int n);
```

### 2. Loop Annotations

Generate loop invariants, variants, and assigns clauses:

```c
/*@
  loop invariant 0 <= i <= n;
  loop invariant \forall integer k; 0 <= k < i ==> sum == \sum(0, k, array);
  loop assigns i, sum;
  loop variant n - i;
*/
for (i = 0; i < n; i++) {
    sum += array[i];
}
```

### 3. Memory Safety Specifications

Add pointer validity and separation annotations:

```c
/*@
  requires \valid(dest + (0..n-1));
  requires \valid_read(src + (0..n-1));
  requires \separated(dest + (0..n-1), src + (0..n-1));
  ensures \forall integer i; 0 <= i < n ==> dest[i] == \old(src[i]);
  assigns dest[0..n-1];
*/
void memcpy_safe(char *dest, const char *src, size_t n);
```

### 4. Assertions and Assumptions

Insert runtime and verification assertions:

```c
//@ assert 0 <= index && index < array_length;
//@ assume divisor != 0;
```

### 5. Axiomatic Definitions and Predicates

Define reusable logical predicates and axioms:

```c
/*@
  predicate sorted{L}(int *a, integer n) =
    \forall integer i, j; 0 <= i <= j < n ==> a[i] <= a[j];
*/

/*@
  axiomatic Sum {
    logic integer sum{L}(int *a, integer low, integer high);

    axiom sum_empty{L}:
      \forall int *a, integer i; sum(a, i, i) == 0;

    axiom sum_next{L}:
      \forall int *a, integer low, high;
        low < high ==> sum(a, low, high) == sum(a, low, high-1) + a[high-1];
  }
*/
```

## Annotation Workflow

### Step 1: Analyze the Function

Before annotating:
- Identify inputs, outputs, and side effects
- Determine memory access patterns
- Understand algorithmic properties (sorting, searching, etc.)
- Note any implicit assumptions

### Step 2: Add Function Contract

Start with the function-level specification:
1. **Preconditions** (`requires`): What must be true when function is called
2. **Postconditions** (`ensures`): What will be true when function returns
3. **Assigns clause**: What memory locations may be modified
4. **Behavioral specification**: Normal and exceptional behaviors if applicable

### Step 3: Annotate Loops

For each loop, specify:
1. **Loop invariant**: Properties that hold before and after each iteration
2. **Loop variant**: Decreasing measure proving termination
3. **Loop assigns**: Memory modified within the loop

### Step 4: Add Assertions

Insert intermediate assertions to:
- Document algorithmic properties
- Help verification tools
- Clarify complex logic

### Step 5: Define Helper Predicates

Create reusable logical definitions for:
- Common patterns (sorted arrays, valid ranges)
- Domain-specific properties
- Complex mathematical relationships

## Common ACSL Constructs

### Memory Validity
```c
\valid(ptr)                    // Single valid pointer
\valid(ptr + (low..high))      // Valid range
\valid_read(ptr)               // Read-only validity
\separated(ptr1, ptr2)         // No aliasing
```

### Quantifiers
```c
\forall type var; condition ==> property
\exists type var; condition && property
```

### Logic Functions
```c
\old(expr)                     // Value at function entry
\at(expr, Label)               // Value at specific point
\result                        // Function return value
\nothing                       // Empty set (for assigns)
```

### Integer Ranges
```c
\forall integer i; low <= i < high ==> array[i] >= 0
```

### Behaviors
```c
/*@
  behavior valid_input:
    assumes n > 0;
    requires \valid(array + (0..n-1));
    ensures \result >= 0;

  behavior invalid_input:
    assumes n <= 0;
    ensures \result == -1;

  complete behaviors;
  disjoint behaviors;
*/
```

## Verification Considerations

### For Frama-C WP Plugin

When generating annotations for WP verification:
- Use `assigns` clauses to specify frame conditions
- Prefer `\valid` over raw pointer checks
- Use `\separated` for pointer disjointness
- Add `loop assigns` for all loops
- Include `loop variant` for termination proofs

### Common Verification Patterns

**Array bounds safety:**
```c
/*@ requires 0 <= index < length;
    requires \valid(array + index);
*/
```

**Null pointer checks:**
```c
/*@ requires ptr != \null;
    requires \valid(ptr);
*/
```

**Overflow prevention:**
```c
/*@ requires INT_MIN <= a + b <= INT_MAX; */
```

## Output Format

Generate annotations in standard ACSL comment syntax:
- Multi-line contracts: `/*@ ... */`
- Single-line assertions: `//@ assertion`
- Place contracts immediately before function declarations
- Place loop annotations immediately before loop headers
- Include explanatory comments when annotations are complex

## Best Practices

1. **Start simple**: Begin with basic contracts, then refine
2. **Be precise**: Avoid over-specification or under-specification
3. **Document assumptions**: Make implicit assumptions explicit
4. **Use predicates**: Factor out common patterns
5. **Test incrementally**: Verify annotations with Frama-C as you go
6. **Include rationale**: Add comments explaining non-obvious specifications

## Example: Complete Annotated Function

```c
/*@
  predicate valid_array(int *a, integer n) =
    \valid(a + (0..n-1)) && n > 0;
*/

/*@
  requires valid_array(array, n);
  ensures \result >= 0 && \result < n;
  ensures \forall integer i; 0 <= i < n ==> array[\result] >= array[i];
  assigns \nothing;
*/
int find_max_index(int *array, int n) {
    int max_idx = 0;

    /*@
      loop invariant 0 <= i <= n;
      loop invariant 0 <= max_idx < n;
      loop invariant \forall integer k; 0 <= k < i ==>
abstract-domain-explorerSkill

Applies abstract interpretation using different abstract domains (intervals, octagons, polyhedra, sign, congruence) to statically analyze program variables and infer invariants, value ranges, and relationships. Use when analyzing program properties, inferring loop invariants, detecting potential errors, or understanding variable relationships through static analysis.

abstract-invariant-generatorSkill

Uses abstract interpretation to automatically infer loop invariants, function preconditions, and postconditions for formal verification. Generates invariants that capture program behavior and support correctness proofs in Dafny, Isabelle, Coq, and other verification systems. Use when adding formal specifications to code, generating verification conditions, inferring contracts for functions, or discovering loop invariants for proofs.

abstract-state-analyzerSkill

Performs abstract interpretation over source code to infer possible program states, variable ranges, and data properties without executing the program. Reports potential runtime errors including out-of-bounds accesses, null dereferences, type inconsistencies, division by zero, and integer overflows. Use when analyzing code for potential runtime errors, performing static analysis, checking safety properties, or verifying program behavior without execution.

abstract-trace-summarizerSkill

Performs abstract interpretation to produce summarized execution traces and high-level program behavior representations. Highlights key control flow paths, variable relationships, loop invariants, function summaries, and potential runtime states using abstract domains (intervals, signs, nullness, etc.). Use when analyzing program behavior, understanding execution paths, computing loop invariants, tracking variable ranges, detecting potential runtime errors, or generating program summaries without concrete execution.

agent-browserSkill

CLI-based browser automation with persistent page state using ref-based element interaction. Use when users ask to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

ambiguity-detectorSkill

Detects and analyzes ambiguous language in software requirements and user stories. Use when reviewing requirements documents, user stories, specifications, or any software requirement text to identify vague quantifiers, unclear scope, undefined terms, missing edge cases, subjective language, and incomplete specifications. Provides detailed analysis with clarifying questions and suggested improvements.

api-design-assistantSkill

Design and review APIs with suggestions for endpoints, parameters, return types, and best practices. Use when designing new APIs from requirements, reviewing existing API designs, generating API documentation, or getting implementation guidance. Supports REST APIs with focus on endpoint structure, request/response schemas, authentication, pagination, filtering, versioning, and OpenAPI specifications. Triggers when users ask to design, review, document, or improve APIs.

api-documentation-generatorSkill

Generate comprehensive API documentation from repository sources including OpenAPI specs, code comments, docstrings, and existing documentation. Use when documenting APIs, creating API reference guides, or summarizing API functionality from codebases. Extracts endpoint details, request/response schemas, authentication methods, and generates code examples. Triggers when users ask to document APIs, generate API docs, create API reference, or summarize API endpoints from a repository.