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 search-toolsgit 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/search-tools)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/search-tools"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/search-tools/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/search-tools"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/search-tools.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 | $0.00007 | $0.00491 |
| Opus 5 | $0.00003 | $0.00246 |
| Sonnet 5 | $0.00001 | $0.00098 |
| Haiku 4.5 | $0.00001 | $0.00049 |
Grade A, and why
search-tools 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 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.
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.
What it actually says
Search Tool Hierarchy
When searching code, use this decision tree:
Decision Tree
Need CONCEPTUAL/SEMANTIC search?
(how does X work, find patterns, understand architecture)
→ Use LEANN (/leann-search) - embedding-based semantic search
→ PreToolUse hook auto-redirects semantic Grep queries
Need to understand code STRUCTURE?
(find function calls, class usages, refactor patterns)
→ Use AST-grep (/ast-grep-find)
Need to find TEXT in code?
→ Use Morph (/morph-search) - 20x faster
→ If no Morph API key: fall back to Grep tool
Simple one-off search?
→ Use built-in Grep tool directly
Tool Comparison
| Tool | Best For | Requires |
|---|---|---|
| LEANN | Semantic search: "how does caching work", "error handling patterns", conceptual queries | Index built |
| AST-grep | Structural patterns: "find all calls to foo()", refactoring, find usages by type |
MCP server |
| Morph | Fast text search: "find files mentioning error", grep across codebase | API key |
| Grep | Literal patterns, class/function names, regex | Nothing (built-in) |
Examples
LEANN (semantic/conceptual):
- "how does authentication work"
- "find error handling patterns"
- "where is rate limiting implemented"
AST-grep (structural):
- "Find all functions that return a Promise"
- "Find all React components using useState"
- "Refactor all imports of X to Y"
Morph (text search):
- "Find all files mentioning 'authentication'"
- "Search for TODO comments"
Grep (literal):
class ProviderAdapterdef __init__- Regex patterns
LEANN Commands
# Search with semantic query
leann search opc-dev "how does blackboard communication work" --top-k 5
# List available indexes
leann list
# Rebuild index (when code changes)
leann build opc-dev --docs dir1 dir2 --no-recompute --no-compact --force
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 · 72 lines · 7 tokens per session scan A f3c85a70c261
search-tools is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,937 stars, last pushed 7mo ago), licensed MIT. It adds 7 tokens to every session and 491 once invoked, about $0.0000 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.
Other skills, from other repositories
prove-checks
Prove a passing check was capable of failing before recording it as evidence. Use when a test, CI job, build-and-diff, smoke test or rehearsal comes back green and that green is about to be treated as proof - especially when the check depends on a setup mutation (a sed/awk rewrite, an env var, a secret, a fixture…
headsup-diagnose
Actively test the Codex headsup stack by flashing idle, working, and waiting tab colors and checking daemon application.
headsup-status
Print a read-only health snapshot for the Codex headsup hook stack: daemon, watchdog, sessions, notifications, and logs.
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.
prod-debug
Production debugging skill. Pre-loads DB schema, container registry, and prod environment facts from .claude/prod-debug/ in the current project root. Use when the user invokes /prod-debug or /prod-debug bootstrap.
error-handling-and-resilience
Use when establishing error handling patterns for a project, when adding retry logic, circuit breakers, or graceful degradation, when reviewing how a service handles failures, or when an incident reveals that a failure mode was silently swallowed.