Continuous-Claude-v3 is a Claude Code development environment that preserves working context between sessions, coordinates specialized agents, and stores project knowledge through ledgers, handoffs, and analysis tools. It is for people using Claude Code on ongoing or complex software work. Its catalogue entries are the skills, agents, hooks, plugin, and setting that provide its workflows and orchestration.
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 parcadei/Continuous-Claude-v3 --skill tdd-migration-pipelinegit clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3Wrote 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/parcadei/continuous-claude-v3/tdd-migration-pipeline)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/tdd-migration-pipeline"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/tdd-migration-pipeline/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/parcadei/continuous-claude-v3/tdd-migration-pipeline"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/tdd-migration-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00026 | $0.01410 |
| Opus 5 | $0.00013 | $0.00705 |
| Sonnet 5 | $0.00005 | $0.00282 |
| Haiku 4.5 | $0.00003 | $0.00141 |
Grade A, and why
tdd-migration-pipeline 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 8d 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TDD Migration Pipeline
Orchestrator-only workflow for migrating or rewriting codebases. You do NOT read files, write code, or validate anything yourself. You only instruct agents and pipe context (paths, not contents).
When to Use
- Migrating codebase from one language/framework to another
- Rewriting a system with TDD guarantees
- Large-scale refactoring with behavioral contracts
- When you want zero context growth in the orchestrator
Core Principles
- ZERO orchestrator execution - only instruct and pipe context
- All work done by agents - you never read/write/validate
- Context window stays flat - pass paths, not contents
- New code in separate directory - never modify source
Your Constraints
- Never say "let me read..." or "looking at..."
- Only say "Agent X: do Y with Z"
- Your context should NOT grow during execution
- All agents must use
qltyandtldrskills
Pipeline Phases
Phase 1: SPEC
Instruct spec-agent (use scout or architect):
- Analyze {source_path} using tldr-skill
- Output: spec.md with behavioral contracts, types, edge cases
Agent prompt template:
Analyze the codebase at {source_path} using tldr commands (tldr structure, tldr extract, tldr calls).
Create spec.md with:
- All behavioral contracts (what each function/class promises)
- Input/output types
- Edge cases and invariants
- Dependencies between components
Write to: {target_dir}/spec.md
Phase 2: FAILING TESTS
Instruct test-agent (use arbiter):
- Read spec.md
- Write failing tests in {target_dir}/tests/
- Tests should define expected behavior before implementation
Instruct review-agent (use critic):
- Validate tests cover spec completely
- No gaps in behavioral coverage
Phase 3: ADVERSARIAL (x3 iterations)
Instruct premortem-agent (use premortem skill):
- Review spec + tests
- Identify failure modes, race conditions, edge cases
- DO NOT ASK - just add mitigations directly to spec
- Run 3 passes with fresh perspective each time
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.
- 8d ago First seen · 190 lines · 26 tokens per session scan A a98f20aeaa0f
tdd-migration-pipeline is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,938 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 1,410 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 2026-09-03.
Other skills, from other repositories
tdd
Use when implementing features or bug fixes test-first.
writing-skills
Use when creating a new forge-skill, editing an existing skill, when planning to contribute to forge-skills, when a session has produced a one-off prompt that should be promoted to a skill, or when verifying a skill works before deployment.
incremental-implementation
Use when .forge/tasks.yaml exists and implementation is starting, when executing a planned task list one task at a time, when a feature must ship in independently-verifiable slices, or when contracts in .forge/contracts/ need to be implemented against acceptance criteria.
tdd
Use when implementing features or fixing bugs test-first, when user mentions "red-green-refactor", when test discipline is required for a specific task, when incremental-implementation needs TDD enforcement, or when a behavior change needs a failing test before any code is written.
triage-issue
Use when user reports a bug, wants to file an issue, mentions "triage", when investigating a production problem before fixing it, when planning a fix that needs a TDD-shaped GitHub issue, or when a bug needs root-cause analysis before assignment.
azure-cosmos-db-py
Build Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD patterns for Cosmos. Triggers…