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 wiringgit 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/wiring)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/wiring"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/wiring/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/wiring"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/wiring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00006 | $0.01753 |
| Opus 5 | $0.00003 | $0.00877 |
| Sonnet 5 | $0.00001 | $0.00351 |
| Haiku 4.5 | $0.00001 | $0.00175 |
Grade B, and why
wiring scanned grade B with 1 finding 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 6d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
grep -r "orchestration" .claude/settings.json How it starts
The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wiring Verification
When building infrastructure components, ensure they're actually invoked in the execution path.
Pattern
Every module needs a clear entry point. Dead code is worse than no code - it creates maintenance burden and false confidence.
The Four-Step Wiring Check
Before marking infrastructure "done", verify:
- Entry Point Exists: How does user action trigger this code?
- Call Graph Traced: Can you follow the path from entry to execution?
- Integration Tested: Does an end-to-end test exercise this path?
- No Dead Code: Is every built component actually reachable?
DO
Verify Entry Points
# Hook registered?
grep -r "orchestration" .claude/settings.json
# Skill activated?
grep -r "skill-name" .claude/skill-rules.json
# Script executable?
ls -la scripts/orchestrate.py
# Module imported?
grep -r "from orchestration_layer import" .
Trace Call Graphs
# Entry point (hook)
.claude/hooks/pre-tool-use.sh
↓
# Shell wrapper calls TypeScript
npx tsx pre-tool-use.ts
↓
# TypeScript calls Python script
spawn('scripts/orchestrate.py')
↓
# Script imports module
from orchestration_layer import dispatch
↓
# Module executes
dispatch(agent_type, task)
Test End-to-End
# Don't just unit test the module
pytest tests/unit/orchestration_layer_test.py # NOT ENOUGH
# Test the full invocation path
echo '{"tool": "Task"}' | .claude/hooks/pre-tool-use.sh # VERIFY THIS WORKS
Document Wiring
## Wiring
- **Entry Point**: PreToolUse hook on Task tool
- **Registration**: `.claude/settings.json` line 45
- **Call Path**: hook → pre-tool-use.ts → scripts/orchestrate.py → orchestration_layer.py
- **Test**: `tests/integration/task_orchestration_test.py`
DON'T
Build Without Wiring
# BAD: Created orchestration_layer.py with 500 lines
# But nothing imports it or calls it
# Result: Dead code, wasted effort
# GOOD: Start with minimal wiring, then expand
# 1. Create hook (10 lines)
# 2. Test hook fires
# 3. Add script (20 lines)
# 4. Test script executes
# 5. Add module logic (iterate)
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.
- 6d ago First seen · 295 lines · 6 tokens per session scan B 5115242f3546
wiring is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,937 stars, last pushed 7mo ago), licensed MIT. It adds 6 tokens to every session and 1,753 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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playwright-debugging
Diagnostic Playwright workflows for flaky or failing tests, including trace analysis, UI mode, and state isolation.
bestow-curse
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debugging-and-recovery
Use when something is broken, a test is failing, behavior is wrong, when investigating a production incident, when a user reports a bug, when a feature works locally but not in another environment, or when the system behaves differently than the contract specifies.