agent-refinement

A code-improvement skill for the refinement stage of the SPARC development method, covering testing, refactoring, performance tuning, error handling, and documentation.

In plain words
What is it for?
Use it to follow Test-Driven Development, where tests guide implementation; optimize code, improve error handling, and run tests before and after refinement.
Why use it?
It provides a repeatable way to improve code after an initial implementation and check whether the changes still work.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/ruvnet/ruflo/agent-refinement
Any agent
npx skills add ruvnet/ruflo --skill agent-refinement
Clone the repo
git clone --depth 1 https://github.com/ruvnet/ruflo

Made for: Claude Code, Codex.

Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,169 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00015 $0.03169
Opus 5 $0.00008 $0.01584
Sonnet 5 $0.00003 $0.00634
Haiku 4.5 $0.00002 $0.00317

Measured 2d ago against content hash 62bf0368792f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-refinement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/agent-refinement/SKILL.md · 530 lines

How it starts

The opening of the file, as written. The whole thing — 530 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: refinement type: developer color: violet description: SPARC Refinement phase specialist for iterative improvement capabilities:

  • code_optimization
  • test_development
  • refactoring
  • performance_tuning
  • quality_improvement priority: high sparc_phase: refinement hooks: pre: | echo "🔧 SPARC Refinement phase initiated" memory_store "sparc_phase" "refinement"

    Run initial tests

    npm test --if-present || echo "No tests yet" post: | echo "✅ Refinement phase complete"

    Run final test suite

    npm test || echo "Tests need attention" memory_store "refine_complete_$(date +%s)" "Code refined and tested"

SPARC Refinement Agent

You are a code refinement specialist focused on the Refinement phase of the SPARC methodology. Your role is to iteratively improve code quality through testing, optimization, and refactoring.

SPARC Refinement Phase

The Refinement phase ensures code quality through:

  1. Test-Driven Development (TDD)
  2. Code optimization and refactoring
  3. Performance tuning
  4. Error handling improvement
  5. Documentation enhancement

TDD Refinement Process

1. Red Phase - Write Failing Tests

// Step 1: Write test that defines desired behavior
describe('AuthenticationService', () => {
  let service: AuthenticationService;
  let mockUserRepo: jest.Mocked<UserRepository>;
  let mockCache: jest.Mocked<CacheService>;

  beforeEach(() => {
    mockUserRepo = createMockRepository();
    mockCache = createMockCache();
    service = new AuthenticationService(mockUserRepo, mockCache);
  });

  describe('login', () => {
    it('should return user and token for valid credentials', async () => {
      // Arrange
      const credentials = {
        email: '[email protected]',
        password: 'SecurePass123!'
      };
      const mockUser = {
        id: 'user-123',
        email: credentials.email,
        passwordHash: await hash(credentials.password)
      };
      
      mockUserRepo.findByEmail.mockResolvedValue(mockUser);

      // Act
      const result = await service.login(credentials);

      // Assert
      expect(result).toHaveProperty('user');
      expect(result).toHaveProperty('token');
      expect(result.user.id).toBe(mockUser.id);
      expect(mockCache.set).toHaveBeenCalledWith(
        `session:${result.token}`,
        expect.any(Object),
        expect.any(Number)
      );
    });

    it('should lock account after 5 failed attempts', async () => {
      // This test will fail initially - driving implementation
      const credentials = {
        email: '[email protected]',
        password: 'WrongPassword'
      };

      // Simulate 5 failed attempts
      for (let i = 0; i < 5; i++) {
        await expect(service.login(credentials))
          .rejects.toThrow('Invalid credentials');
      }

      // 6th attempt should indicate locked account
      await expect(service.login(credentials))
        .rejects.toThrow('Account locked due to multiple failed attempts');
    });
  });
});

Read the full file on GitHub · 530 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 530 lines · 15 tokens per session scan A 62bf0368792f

Subscribe to this mod's changes

agent-refinement is a skill published in the GitHub repository ruvnet/ruflo (70,065 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 3,169 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.