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 provegit 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/prove)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/prove"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/prove/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/prove"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/prove.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00013 | $0.01957 |
| Opus 5 | $0.00006 | $0.00979 |
| Sonnet 5 | $0.00003 | $0.00391 |
| Haiku 4.5 | $0.00001 | $0.00196 |
Grade C, and why
prove scanned grade C with 2 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 9d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl https://raw.githubusercontent.com/leanprover/elan/master/elan-init.sh -sSf | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl https://raw.githubusercontent.com/leanprover/elan/master/elan-init.sh -sSf | sh How it starts
The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/prove - Machine-Verified Proofs (5-Phase Workflow)
For mathematicians who want verified proofs without learning Lean syntax.
Prerequisites
Before using this skill, check Lean4 is installed:
# Check if lake is available
command -v lake &>/dev/null && echo "Lean4 installed" || echo "Lean4 NOT installed"
If not installed:
# Install elan (Lean version manager)
curl https://raw.githubusercontent.com/leanprover/elan/master/elan-init.sh -sSf | sh
# Restart shell, then verify
lake --version
First run of /prove will download Mathlib (~2GB) via lake build.
Usage
/prove every group homomorphism preserves identity
/prove Monsky's theorem
/prove continuous functions on compact sets are uniformly continuous
The 5-Phase Workflow
┌─────────────────────────────────────────────────────────────┐
│ 📚 RESEARCH → 🏗️ DESIGN → 🧪 TEST → ⚙️ IMPLEMENT → ✅ VERIFY │
└─────────────────────────────────────────────────────────────┘
Phase 1: RESEARCH (before any Lean)
Goal: Understand if/how this can be formalized.
-
Search Mathlib with Loogle (PRIMARY - type-aware search)
# Use loogle for type signature search - finds lemmas by shape loogle-search "pattern_here" # Examples: loogle-search "Nontrivial _ ↔ _" # Find Nontrivial lemmas loogle-search "(?a → ?b) → List ?a → List ?b" # Map-like functions loogle-search "IsCyclic, center" # Multiple conceptsQuery syntax:
_= any single type?a,?b= type variables (same var = same type)Foo, Bar= must mention both
-
Search External - What's the known proof strategy?
- Use Nia MCP if available:
mcp__nia__search - Use Perplexity MCP if available:
mcp__perplexity__search - Fall back to WebSearch for papers/references
- Check: Is there an existing formalization elsewhere (Coq, Isabelle)?
- Use Nia MCP if available:
-
Identify Obstacles
- What lemmas are NOT in Mathlib?
- Does proof require axioms beyond ZFC? (Choice, LEM, etc.)
- Is the statement even true? (search for counterexamples)
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.
- 9d ago First seen · 254 lines · 13 tokens per session scan C 766e1ce18d06
prove is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,938 stars, last pushed 7mo ago), licensed MIT. It adds 13 tokens to every session and 1,957 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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