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.
npx skills add marcusgoll/Spec-Flow --skill implementation-phasegit clone --depth 1 https://github.com/marcusgoll/Spec-FlowWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/marcusgoll/spec-flow/implementation-phase)<a href="https://agentmods.dev/skills/marcusgoll/spec-flow/implementation-phase"><img src="https://agentmods.dev/badge/skills/marcusgoll/spec-flow/implementation-phase/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/marcusgoll/spec-flow/implementation-phase"><img src="https://agentmods.dev/badge/skills/marcusgoll/spec-flow/implementation-phase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00057 | $0.03967 |
| Opus 5.5 | $0.00023 | $0.01587 |
| Sonnet 5.5 | $0.00011 | $0.00793 |
| Haiku 4.5 | $0.00006 | $0.00397 |
Grade A, and why
implementation-phase 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 614 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inputs: tasks.md (20-30 tasks), plan.md (implementation plan) Outputs: Implemented code, test suites, updated tracking files Expected duration: 2-10 days (varies by complexity)
<quick_start> Execute implementation tasks systematically:
- Load tech stack constraints from docs/project/tech-stack.md
- Review task dependencies in tasks.md for parallel work
- Generate test suite using test-architect (complex features)
- Execute tasks using TDD (RED → GREEN → REFACTOR)
- Update task status in NOTES.md after completion
- Run anti-duplication checks before writing new code
- Run tests + type-check after each task triplet
- Validate type safety with type-enforcer (TypeScript)
- Validate security with security-sentry (auth/API/uploads)
- Commit implementation with descriptive messages
Key principle: Test first, implement second. Never write code without tests. </quick_start>
Validate environment with test run before proceeding.
Before writing any code, load technology constraints from docs/project/tech-stack.md:
# Read tech stack documentation
cat docs/project/tech-stack.md
# Extract: database, framework, libraries, deployment platform
Prevents hallucinating wrong technologies (e.g., suggesting MongoDB when PostgreSQL required).
See resources/tech-stack-validation.md for validation checklist.
Analyze tasks.md for dependency relationships:
# Look for dependencies in tasks.md
T001: Create User model [no dependencies]
T002: Create AuthService [depends: T001]
T003: Create LoginController [depends: T002]
Identify parallel work opportunities:
- Independent tasks can run concurrently
- Dependent tasks must run sequentially
See resources/task-batching.md for parallel execution strategy.
For complex features (>10 tasks, multiple components), use test-architect agent:
# Launch test-architect to convert acceptance criteria → tests
# Agent reads tasks.md acceptance criteria
# Generates comprehensive test suite (unit + integration + E2E)
Benefits:
- Tests written before implementation (pure TDD)
- Coverage of happy paths, edge cases, error conditions
- Executable specification from acceptance criteria
See resources/tdd-workflow.md#test-architect for detailed usage.
For each task, follow RED → GREEN → REFACTOR cycle:
RED (Write Failing Test):
def test_user_can_login_with_valid_credentials():
"""Test user authentication with correct email/password"""
user = create_user(email="[email protected]", password="secure123")
result = auth_service.login("[email protected]", "secure123")
assert result.success is True
assert result.user.email == "[email protected]"
assert result.token is not None
GREEN (Minimal Implementation):
def login(email, password):
user = User.query.filter_by(email=email).first()
if user and user.check_password(password):
token = generate_jwt(user.id)
return LoginResult(success=True, user=user, token=token)
return LoginResult(success=False)
REFACTOR (Clean Up):
- Extract magic values to constants
- Remove duplication
- Improve naming
- Add error handling
See resources/tdd-workflow.md for complete RED → GREEN → REFACTOR guide.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 614 lines · 57 tokens per session scan A 7692d1473c11
implementation-phase is a skill published in the GitHub repository marcusgoll/Spec-Flow (96 stars, last pushed 27d ago), licensed MIT. It adds 57 tokens to every session and 3,967 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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