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 agentica-infrastructuregit 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/agentica-infrastructure)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/agentica-infrastructure"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/agentica-infrastructure/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/agentica-infrastructure"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/agentica-infrastructure.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 | $0.00014 | $0.00720 |
| Opus 5 | $0.00007 | $0.00360 |
| Sonnet 5 | $0.00003 | $0.00144 |
| Haiku 4.5 | $0.00001 | $0.00072 |
Grade A, and why
agentica-infrastructure 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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agentica-infrastructure — 100% identical, 188 lines differ
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentica Infrastructure Reference
Complete API specification for Agentica multi-agent coordination infrastructure.
When to Use
- Building multi-agent workflows with Agentica patterns
- Need exact constructor signatures for pattern classes
- Want to understand coordination database schema
- Implementing custom patterns using primitives
- Debugging agent tracking or orphan detection
Quick Reference
11 Pattern Classes
| Pattern | Purpose | Key Method |
|---|---|---|
Swarm |
Parallel perspectives | .execute(query) |
Pipeline |
Sequential stages | .run(initial_state) |
Hierarchical |
Coordinator + specialists | .execute(task) |
Jury |
Voting consensus | .decide(return_type, question) |
GeneratorCritic |
Iterative refinement | .run(task) |
CircuitBreaker |
Failure fallback | .execute(query) |
Adversarial |
Debate + judge | .resolve(question) |
ChainOfResponsibility |
Route to handler | .process(query) |
MapReduce |
Fan out + reduce | .execute(query, chunks) |
Blackboard |
Shared state | .solve(query) |
EventDriven |
Event bus | .publish(event) |
Core Infrastructure
| Component | File | Purpose |
|---|---|---|
CoordinationDB |
coordination.py |
SQLite tracking |
tracked_spawn |
tracked_agent.py |
Agent with tracking |
HandoffAtom |
handoff_atom.py |
Universal handoff format |
BlackboardCache |
blackboard.py |
Hot tier communication |
MemoryService |
memory_service.py |
Core + Archival memory |
create_claude_scope |
claude_scope.py |
Scope with file ops |
Primitives
| Primitive | Purpose |
|---|---|
Consensus |
Voting (MAJORITY, UNANIMOUS, THRESHOLD) |
Aggregator |
Combine results (MERGE, CONCAT, BEST) |
HandoffState |
Structured agent handoff |
build_premise |
Structured premise builder |
gather_fail_fast |
TaskGroup-based parallel execution |
Full API Spec
See: API_SPEC.md in this skill directory
What ships with it
1 file 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.
- 10d ago First seen · 95 lines · 14 tokens per session scan A 561afcd19382
agentica-infrastructure is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,937 stars, last pushed 7mo ago), licensed MIT. It adds 14 tokens to every session and 720 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.
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